The post We Shape Our Tools; Then They Shape Us appeared first on Industry4o.com.

The Digital Fog is the silent business killer; invisible yet destructive, it creeps in when strategy lacks clarity.

Unfortunately, in the absence of a Chief Digital Officer, or someone solely responsible for managing a company’s digital strategy, it can be easy to be enveloped in a “Digital Fog”  that makes it difficult to move forward.

What is a Digital Fog?

The Digital Fog is that murky haze that surrounds a company when there is no clear direction or ownership of the digital strategy. It’s a state of confusion caused by competing agendas, undefined digital jargon, siloed departments, and a lack of coordination between digital initiatives between departments. This fog can make it difficult to prioritize initiatives, make decisions about technology investments, or even know where to start.

What are the consequences of being enveloped in a Digital Fog?

It’s not just that you can’t see things clearly, like when you’re trying to figure out how to use technology in your company, it’s that this mess can make you see things that aren’t even there. So instead of one clear path to follow, you see a bunch of paths and can’t tell which one is real. Being enveloped in a digital fog can lead companies to chase after the wrong goals, pouring resources into projects that don’t align with their vision or the market’s needs. It also creates a frustrating work environment, where employees feel overwhelmed and directionless, often missing out on leveraging new technologies that could propel the business forward.

How can you clear the Digital Fog?

If your organization is caught in the Digital Fog, there are a few things you can do to clear it up. First, appoint someone responsible for digital and give them the authority to make decisions and drive change across the organization. Second, break down digital silos by creating cross-functional teams that focus on specific parts of the customer journey leveraging inter-departmental data flow. And lastly, define and document a digital strategy that clearly explains the vision (what), the purpose (why), strategy (how), and tools the company will use to achieve business objectives.

Follow hashtag#JeffWinterInsights to stay current on Industry 4.0 and other cool tech trends

About the Author :

Mr. Jeff Winter

Vice President, Business Strategy
Critical Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

Mr. Jeff can be contacted at :

Email |  LinkedIn | Website

Also read Mr. Jeff’s earlier Articles :

The post Digital Fog appeared first on Industry4o.com.

The Digital Twin concept involves creating a virtual replica of a physical asset to monitor, predict, and optimize performance. This digital counterpart can mirror the physical entity’s operations in real-time, allowing for better decision-making and predictive maintenance. The paper explores the use of Digital Twins in a large-scale smart manufacturing facility to prevent machine failures and optimize maintenance processes through the integration of IoT platforms, sensor technologies, and data analytics.

Based on a comprehensive study of 100 digital twin case studies by IoT Analytics, six main use cases have become the most prevalent. Let’s dive into these applications and see how they are shaping the future of industries.

Top Six Digital Twin Use Cases

Six most popular digital twin applications powering the future:

Twins for System Prediction (30% of projects)

These digital twins focus on predicting the future behavior and performance of entire systems, helping businesses plan and optimize based on accurate forecasts. By using current data and operational history, companies can anticipate future outcomes, ensuring smoother operations.

Example: Doosan Enerbility deployed a digital twin for its wind farms to predict power output based on IoT sensor data and weather conditions, improving operational performance and helping avoid costly fines by meeting power commitments.

Twins for System Simulation (28% of projects)

Simulating complex systems during the “build,” “operate,” or “optimize” phases allows engineers to test scenarios and make informed decisions. These twins help reduce risks and costs by running multiple simulations before changes are implemented.

Example: Siemens Mobility created a digital twin to simulate 40 different subsystems of a new train control architecture, reducing development costs by $1-8 million.

Twins for Asset Interoperability (24% of projects)

These twins streamline data formats and enable efficient data extraction across complex systems, ensuring real-time, standardized information flow. This is critical for companies managing many assets that need to communicate and function together seamlessly.

Example: Scuderia Ferrari uses a digital twin to integrate and analyze sensor data from their F1 cars, allowing different teams to collaborate on decisions around aerodynamics, power, and race dynamics.

Twins for Maintenance (21% of projects)

Digital twins designed for maintenance help predict equipment failures and guide maintenance personnel during repairs. Predictive maintenance reduces unplanned downtime and extends asset life, making these twins vital for operational efficiency.

Example: E.ON developed a digital twin to shift to predictive maintenance, evaluating failure modes and determining the remaining life of critical equipment, improving overall reliability.

Twins for System Visualization (20% of projects)

These digital twins provide visual representations, often in 3D, to improve transparency and understanding of system operations. Whether managing infrastructure or manufacturing processes, visualization twins offer clear insight into complex systems, helping to prevent issues and optimize performance.

Example: Ferrovie dello Stato, Italy’s national railway, developed a digital twin of its 10,000-mile rail network, using sensors and algorithms to create a 3D model that improves remote monitoring and safety.

Twins for Product Simulation (9% of projects)

Primarily used in the design and development phases, product simulation twins allow companies to test product designs virtually, avoiding the need for costly prototypes. This accelerates development and ensures higher product performance.

Example: Krones used a digital twin to test new packaging robot designs by simulating factors like friction and gravity, reducing development time and improving efficiency.

My Take: What This Means for Companies Adopting Digital Twins

The buzz around them is well-deserved, but what a lot of people miss is that digital twins can be used across almost every process and platform, not just the flashy 3D visualizations everyone loves to show off. Sure, the 3D visuals are great – who doesn’t like a good, detailed rendering of their factory or wind farm? But here’s the kicker: digital twins are far more than just eye candy.

The real power of digital twins is their ability to work quietly in the background, almost like invisible shadows, constantly analyzing, optimizing, and providing insights. They’re there to assist with decision-making by simulating, predicting, and adjusting system performance in real time. And this can be for anything – manufacturing processes, supply chains, equipment maintenance, you name it. Whether it’s the ERP system, the CRM, or even IoT sensors monitoring your machines, a digital twin can hook into all of it.

It’s About the Data, Not Just the Display

Scaling Digital Twins Beyond Single Projects

The Future of Digital Twins: Invisible, but Invaluable

Follow hashtag#JeffWinterInsights to stay current on Industry 4.0 and other cool tech trends

About the Author :

Mr. Jeff Winter

Vice President, Business Strategy
Critical Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

Mr. Jeff can be contacted at :

Email |  LinkedIn | Website

Also read Mr. Jeff’s earlier Articles :

The post Top Six Digital Twin Use Cases appeared first on Industry4o.com.

Ah, digital transformation and optimization—two buzzwords that float around like butterflies in the business world. But let’s not get tangled in the terminology. Imagine a caterpillar for a moment. Does it just find ways to crawl faster, or does it turn into a butterfly? That’s the difference between optimization and transformation. Intrigued? Let’s dive in.

Optimization: The Speedy Caterpillar

Optimization is all about making what you already have work better, faster, and more efficiently. It’s like adding a little nitro boost to our metaphorical caterpillar so it can crawl a bit faster.

Efficiency Focused: Optimization improves the efficiency and effectiveness of your current operations.

Incremental Improvements: These changes are often incremental but can be substantial, helping to stay competitive without overhauling the system.

Transformation: The Metamorphosis

Transformation, on the other hand, is a complete overhaul. It’s about fundamentally changing the way your business operates, often through new technologies and methodologies. It’s the caterpillar turning into a butterfly, ready to soar.

The Overlap

Both optimization and transformation aim to improve business performance. They’re like two sides of the same coin, working together to drive growth and efficiency.

The Divergence

Where they differ is in their scope and impact.

Optimization can often be a stepping stone to transformation. For instance, optimizing your data analytics processes can provide the insights needed to undertake a broader digital transformation initiative.

How to Successfully Lead Optimization Initiatives

Leading optimization initiatives is all about making things run smoother and faster. Think of it like tuning up a classic car to get the best performance. Two great frameworks to guide you here are the Plan-Do-Check-Act (PDCA) cycle and Lean Six Sigma. The PDCA cycle is a straightforward approach: plan your changes, do the work, check the results, and act on what you’ve learned to keep improving. Lean Six Sigma, on the other hand, mixes lean principles (eliminating waste) with Six Sigma (reducing defects) for a powerful combo. While these frameworks are solid choices, they’re not the only game in town. Agile methodologies, for instance, are fantastic for rapid and flexible process optimization. Regular process audits, training sessions, and cross-functional teams are key management activities. Keep an eye on KPIs like cycle time reduction, error rates, and cost savings to track your progress.

How to Successfully Lead Transformation Initiatives

Transformation initiatives are about making big, bold changes. It’s like turning that classic car into a high-tech electric vehicle. The ADKAR model (Awareness, Desire, Knowledge, Ability, Reinforcement) and Kotter’s 8-Step Change Model are two great frameworks to guide you. ADKAR focuses on making sure each individual is on board with the change, while Kotter’s model provides a roadmap from creating urgency to anchoring new approaches in the company culture. Other options like the McKinsey 7S Framework, which looks at strategy, structure, systems, and more, can also work wonders. Key management activities here include engaging stakeholders, clear communication, and robust training programs. Your KPIs should look at big-picture metrics like new revenue streams, customer acquisition rates, and market share growth.

How to Lead Both in Parallel

Leading both optimization and transformation at the same time can be a difficult juggling act, but is doable! Think of it like running a restaurant: you need to optimize kitchen operations while planning a complete menu overhaul. This requires separate leaders for each, as they demand different skills, management styles, and KPIs.

Most transformations fail when the person managing continuous improvement tries to handle transformation the same way. This is where frameworks like Balanced Scorecard and Hoshin Kanri can help align daily activities with long-term strategy, ensuring both leaders work together seamlessly.

Follow hashtag#JeffWinterInsights to stay current on Industry 4.0 and other cool tech trends

About the Author :

Mr. Jeff Winter

Vice President, Business Strategy
Critical Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

Mr. Jeff can be contacted at :

Email |  LinkedIn | Website

Also read Mr. Jeff’s earlier Articles :

The post Transformation Vs. Optimization appeared first on Industry4o.com.

As industries across the globe enter the fourth industrial revolution, or Industry 4.0, culture is becoming increasingly critical for successful digital transformation. This data-driven era is characterized by hyperconnectivity, artificial intelligence, and automation – all of which require the right culture to thrive.

5 Ways Culture Can Impact Digital Transformation

1. Adopting Technology:

Impact: Adopting technology is a core aspect of digital transformation, setting it apart from other types of organizational changes. A tech-friendly culture is crucial for the successful integration of new tools and systems. When employees feel their input is valued and their voices are heard, they are more likely to embrace change. This openness allows the organization to fully leverage technological advancements, driving efficiency and innovation. In a positive scenario, employees are excited about new tools, actively participate in training, and continuously look for ways to use technology to improve their work. This leads to streamlined operations, improved productivity, and a competitive edge in the market.

My advice: Let technology empower, not distract.

2. Fostering a Growth Mindset:

Impact: A culture that promotes continuous learning and improvement helps employees become more open to new ideas and technologies. This mindset is essential for keeping pace with rapid technological advancements. By investing in training programs and providing support for technical issues, organizations empower their staff to use new tools effectively. In an ideal situation, employees view challenges as opportunities to learn and grow. They are proactive in seeking out training and are not afraid to experiment with new technologies. This results in a dynamic, agile workforce that can adapt quickly to changes and drive the organization forward.

My advice: Invest in your employee’s learnings.

3. Encouraging Innovation:

Impact: Innovation is at the heart of digital transformation, and a culture that encourages risk-taking and rewards creativity is vital. Such an environment fosters the development of new ideas and the adoption of cutting-edge technologies. When employees feel safe to experiment without fear of failure, they are more likely to come up with innovative solutions to problems. A thriving culture of innovation would see employees regularly proposing new ideas, with management providing the resources and support needed to test and implement them. This leads to continuous improvement and the ability to stay ahead of industry trends.

My advice: Reward innovation risks.

4. Strengthening Resilience:

Impact: A resilient and agile culture enables organizations to effectively respond to challenges and setbacks. Emphasizing resilience helps teams recover quickly from failures and adapt to changing circumstances, ensuring that digital transformation efforts stay on track. In a robust culture, employees are trained to handle disruptions calmly and efficiently. They view setbacks as temporary and are equipped with the tools and strategies to overcome them. This results in sustained momentum in transformation initiatives and the ability to bounce back stronger from any hurdles encountered along the way.

My advice: Don’t just react, pivot with purpose.

5. Improving Collaboration:

Impact: Collaboration is a key driver of successful digital transformation. Cultures led by collaborative leaders who encourage open dialogue and teamwork tend to see better results. When everyone feels included in the process, there is greater buy-in and collective effort. Effective collaboration ensures that diverse perspectives are considered, leading to more comprehensive and effective solutions. In an ideal scenario, teams across departments work seamlessly together, sharing knowledge and supporting each other. This fosters a sense of unity and purpose, leading to more innovative and effective outcomes in the transformation journey.

My advice: Build trust through transparency.

Statistics on the Impact of Culture

Boston Consulting Group found that 90% of companies focusing on digital culture report strong financial performance, compared to only 17% that do not. Furthermore, 80% of these companies sustain strong performance, highlighting the critical role of culture in long-term success.

Capgemini found that 62% of companies consider culture as the #1 hurdle to digital transformation.

Gartner found that 64% of CIOs see culture as a barrier to scaling digital transformation, but 25% see it as an enabler.

McKinsey & Company found culture is the most significant self-reported barrier to digital effectiveness, with 33% of companies listing it as the top challenge.

Digital transformation doesn’t just change how companies use technology; it reshapes their entire culture. When businesses adopt new technologies like AI, cloud computing, and data analytics, they also shift towards a culture of agility, innovation, and rapid decision-making. This shift often leads to a more collaborative environment where employees at all levels are empowered to make data-driven decisions and share information freely.

The post 5 Ways Culture Can Impact Digital Transformation appeared first on Industry4o.com.

Are you tired of all those promises of digital transformation and technological advancement? Want to keep your Industry 4.0 investment as minimal as possible? Well, I’ve cracked the code! Here’s the sure-fire way to do it:

Drumroll, please…

Attempt to deploy new Industry 4.0 technologies at scale without changing how your company operates.

Ta-da! It’s like magic – and it works every time!

Let’s dive into the secret recipe:

However, if you do decide to Implement Industry 4.0 the right way through full-scale Digital Transformation the results are impressive. According to McKinsey, the typical value captured by successfully implementing Industry 4.0:

• 15-20% Inventory-holding cost reduction
• 15-30% labor productivity increase
• 30-50% machine downtime reduction
• 10-30% throughput increase
• 85% forecasting accuracy improvement
• 10-20% cost-of-quality improvement.

Without this transformation, the value you can capture will be limited. So, if you’re serious about Industry 4.0, it’s time to embrace change and start your digital transformation journey.

Read more on the McKinsey Study:

Follow hashtag#JeffWinterInsights to stay current on Industry 4.0 and other cool tech trends

About the Author :

Mr. Jeff Winter
Sr. Director of Industry Strategy, Manufacturing,
Hitachi Solutions America

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

Mr. Jeff can be contacted at :

Email : jayaredoubleu@gmail.com, jwinter@hitachisolutions.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read Mr. Jeff’s earlier Articles :

The post How to minimize your Industry4.0 Investment appeared first on Industry4o.com.

When Chicago faced a historic snowstorm, I was cozied up at home, witnessing a fascinating transformation in how we tackle the white blanket outside. Let’s take a fun stroll down memory lane and see how snow removal has evolved with the times.

Industry 1.0 & 2.0 : The Good Ol’ Shovel Days Remember when snow days meant aching backs and frozen fingers? Manual shoveling was the game, and boy, did it build character (and muscles!). The simple shovel was our trusty ally against nature’s frosty onslaught.

Industry 3.0 : Power to the People (and Machines!) Then came the snow blowers – our winter warfare got a tech upgrade! No more back-breaking labor; just rev up the engine, and voilà, snow be gone. This was when ‘power-assisted movement’ wasn’t just a fancy term but a cold-weather lifesaver.

Industry 4.0 : Living in the Future And now? Welcome to the era of the fully autonomous snow blower! As I watch from my window, sipping on hot cocoa, this marvel of technology clears my driveway without a human in sight.

What a journey it’s been! From the humble shovel to robots taking the helm, snow removal has become a symbol of our technological advancement. It’s not just about staying warm and dry; it’s a testament to how we’ve reshaped work and leisure in the face of nature’s challenges.

So, as we witness another winter wonderland in Chicago, let’s appreciate the innovation that allows us to enjoy the snowscape without the frostbite. Stay warm, stay safe, and let the robots do the heavy lifting!

About the Author :

Mr. Jeff Winter
Sr. Director of Industry Strategy, Manufacturing,
Hitachi Solutions America

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

Mr. Jeff can be contacted at :

Email : jayaredoubleu@gmail.com, jwinter@hitachisolutions.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read Mr. Jeff’s earlier Articles :

The post A Snowy Tale of Technological Evolution appeared first on Industry4o.com.

Jeff Winter, Senior Director of Industry Strategy Manufacturing at Hitachi Solutions, discusses the state of digital transformation in 2023.

Digital transformation, as a phrase and business concept, has consumed marketing content, board room discussions, and consulting engagements for years. Digital transformation, especially in the context of the changes brought about by COVID-19 and the shift to remote work, has become integral to the survival and competitive advantage of companies. It’s often viewed as the incorporation of advanced technologies such as AI, machine learning, automation, and data analytics into business operations.

 According to a GetSmarter survey, there is a lack of consensus among professionals about the exact definition of digital transformation and its direct impact on their work and career trajectories. Despite its significance, there’s no universally agreed-upon definition for digital transformation, partly due to its broad influence across different sectors and roles. Diverse perspectives exist, from seeing it as the incorporation of digital technology into all business domains to using digital technology to solve human problems (See Figure 1).

If its meaning remains unclear and its impact misunderstood, businesses and professionals may fail to create effective digital transformation strategies for the future. Something so seemingly simple as not having a clear definition can have profound impacts including:

1. Misalignment of goals: Different definitions can lead to different visions and expectations. For instance, one team may view digital transformation as moving all operations online, while another team may see it as simply automating specific tasks. This could result in goals that are not properly aligned, causing confusion and potentially leading to initiatives that work against each other instead of for each other.

2. Inefficient Use of Resources: If there is no shared understanding of what digital transformation entails, resources might not be allocated effectively. Some teams might be over-resourced based on their interpretation of what is needed, while others might be under-resourced.

3. Communication Breakdowns: Without a common language or understanding, it can be difficult to effectively communicate plans, progress, and challenges.

4. Poorly Executed Strategies: Different interpretations could lead to different approaches to implementing changes, leading to inconsistency, confusion, and potentially suboptimal results.

5. Reduced Employee Engagement: If employees do not understand or agree with the organization’s digital transformation goals, their engagement and buy-in could decrease. This could affect morale, productivity, and ultimately the success of the transformation initiative.

But what does it really mean, especially in terms of manufacturing? And why does it matter? Lets review a bit of history:

Pre-Internet Era (Pre-1990s): The concept of digital transformation first began with the introduction of computers in business operations. During this era, businesses started to adopt digital technology, replacing manual and analog processes with digital ones. Unfortunately during this period, manufacturing still relied heavily on manual processes, with mechanization and electricity driving most industrial activities.

Advent of the Internet and Digitization (1990s – Early 2000s): With the advent of the Internet, businesses began to use digital technologies to optimize their processes and to expand their reach. Computer-based tools and software started being used in the manufacturing industry, facilitating things like Computer-Aided Design (CAD), Computer-Aided Manufacturing (CAM), and Enterprise Resource Planning (ERP).

Emergence of IoT, Big Data, and Cloud Computing (Late 2000s – 2010s): This period saw the rapid development of technologies such as IoT, big data analytics, and cloud computing. Manufacturing companies began to leverage these technologies to optimize their production lines, reduce costs, and improve product quality. The Internet of Things, for example, allowed manufacturers to connect various devices within their production facilities, resulting in increased automation and efficiency.

Industry 4.0 and the Rise of AI (2010s – Present): The term “digital transformation” became a buzzword in the mid-2010s and has continued to grow since, peaking in popularity within the past two years as evident by the number of Google searches for the phrase. The term “Industry 4.0” was coined in Germany and famously introduced at the 2011 Hannover Fair as part of the German High-Tech Strategy. It refers to the fourth industrial revolution, characterized by smart and autonomous systems fueled by data and machine learning. In this period, manufacturers are leveraging technologies such as AI, machine learning, and advanced robotics to further optimize their operations, improve product quality, and reduce costs. The widespread use of AI in manufacturing has also allowed for significant advancements in areas like predictive maintenance, quality control, and supply chain optimization.

While it’s true that the terms digital transformation and Industry 4.0 have been used extensively in marketing materials and by consultants, it’s important to note that the concepts are not just buzzwords. The process of digital transformation reflects the significant shift that businesses are making to adapt to a world that is increasingly digital. Even though the term might have been popularized by marketing efforts, the process it describes is very real and continues to be a major focus for businesses across industries.

From a technology perspective, the mid 2010s are ancient history, as that is when we saw the release of products like the Apple iPhone 4 (2010), Apple iPad (2010), Microsoft Surface (2012), Microsoft Azure (2010), Instagram (2010), Telsa Model S (2012), Raspberry Pi (2012), and Uber (2011 – expansion outside of San Francisco). Now, in 2023, digital transformation and Industry 4.0 continue to evolve with the development of technologies like AI, machine learning, big data, IoT, and more. As these technologies continue to advance, businesses are perpetually challenged to stay ahead of the curve and transform their practices to stay competitive in a digital-first world.

How Big is the Digital Transformation Market and which Industry is Spending the Most?

According to IDC, global spending on the digital transformation (DX) of business practices, products, and organizations was estimated at $1.8 trillion in 2022, and will continue to grow with a five-year compound annual growth rate (CAGR) of 16.6%. To come up with this number, this study evaluated 12 technology markets and 300+ DX use cases (See Figure 2). From an industry perspective, manufacturing comprises 29.1% of worldwide DX spending for the year (18.2% discrete and 10.9% process), followed by professional services in a distant second at 8.6%. The category of “others” comprised insurance, securities and investment services, construction, resource industries, wholesales, personal and consumer services, transportation, healthcare provider, media, federal/central government, state/local government, telecommunications, and education.

What are the forces driving digital transformation?

How successful are companies in digitally transforming?

Back in 2016, McKinsey & Company shared a study that showed a whopping 70% of digital transformations fail.  But since 2016, surely things have gotten better, right? Let’s review a few other findings:

In 2020, Boston Consulting Group (BCG) found 70% of digital transformation projects fell short of their goals — even when leadership is aligned.

In 2021, an Everest Group study found that 68% of companies failed to provide any business value from their digital transformation process.

In 2021, a Couchbase study showed that 82% of enterprises were prevented from pursuing digital transformation projects, and 80% had projects fail, suffer delays, or scaled back.

So, after finding four studies, created by four different companies spanning five years, saying basically the same thing — begs the question: What gives?

Unfortunately, there is no simple or single answer. Truly successful digital transformation requires a total redesign of how your business operates, generates revenue, approaches problems, and even engages with employees and customers. Furthermore, this transformation will result in the people needing to change as much as the company itself.

From personal experience, there are a few common failure points in digital transformation, or what I like to call The Seven Deadly Sins (See Figure 3):

1. Focusing on technology over people: While technology is certainly an important aspect of digital transformation, it’s arguably more important to consider how the changes will impact employees. According to Boston Consulting Group, in a study for 40 digital transformations, they found the proportion of companies reporting breakthrough or strong financial performance was five times greater (90%) among those that focused on culture than it was among those that neglected culture (17%). Strong leadership and good change management will help ensure employees are inspired, motivated, and aligned with the digital strategy.

2. Neglecting the customer experience: Customer experience must be at the heart of digital transformation. Process optimization and cost reduction will help improve the business, but they won’t change the game. Leveraging high-quality product, customer, and market data allows companies to create new business models that provide better product/service performance, customer experience, and business outcomes for customers.

3. Doing it alone: Adopting and implementing a variety of new technologies that need to cohesively work together while simultaneously modifying processes and managing cultural changes is a tough undertaking. Very few companies, if any, have the expertise and experience in-house to pull off a successful digital transformation by themselves. The right partner ecosystem brings diverse skills, industry insights, and proven methodologies, thus reducing risk and accelerating transformation. Partners can provide tailored solutions that match your specific needs, offering scalability and flexibility.

4. Not considering security: As organizations adopt new technologies, it’s important to consider the security implications for the organization and for the customers. Cybersecurity is too important to be considered an afterthought in the digital transformation process. According to Microsoft’s Digital Defense Report 2022, manufacturing at 28% had the highest ransomware incident and recovery engagements of any industry.

5. Not being agile: Very few large-scale transformations go exactly as planned. In addition, technological advancements and market conditions are changing so fast that failure to react and adapt quickly can be catastrophic. Agility also encourages cross-functional collaboration, transparency, and an iterative approach. Without this, resistance to change may flourish, leading to a lack of alignment between departments and undermining overall business objectives. This resistance can stagnate the culture of continuous improvement, further reducing the organization’s adaptability.

6. Lack of a clear vision and strategy: Not everyone has the same definition of digital transformation. According to Baker McKenzie, 69% of organizations define digital transformation as a tool for improving process efficiency. Meanwhile, 23% view digital transformation as a tool for developing new ways to sell products and services, and only 8% think of it as a developing business model change. A good digital transformation strategy should include a vision that aligns with business objectives, describe what success looks like, how success will be graded, how the combination of technologies will be integrated across all systems and processes to transform the business, and a transition/change management plan. A simplified digital transformation statement should be continually communicated to all employees, with managers ensuring their employees understand exactly how their role fits into the transformation and the outcome.

7. Lack of leadership agreement and commitment: Digital transformations are designed to be disruptive and can often be costly. Company leaders not only need to agree on the digital strategy, but they also must be fully committed. Otherwise, digital initiatives will run the risk of goal and priority misalignment, high levels of resistance, and loss of funding.

Digital business transformation is a multifaceted process that involves a wide range of strategic changes and adaptations across an organization. It is crucial to recognize that there isn’t just one type of digital transformation; rather, it encompasses various aspects such as process, business model, cultural/organizational structure, customer experience, domain, and ecosystem transformation. Focusing solely on one dimension can limit an organization’s overall success and hinder its ability to thrive in a rapidly evolving digital landscape.

The leaders and managers of a digital transformation initiative need to understand and fully appreciate that success requires a change in behavior and attitudes of those involved, not just a replacement in technology and processes. Technology is an enabler of transformation, not the goal of transformation.

Digital transformation should be viewed as a strategic initiative, not a set of tactical to-dos. This means it can’t simply be assigned to others to complete — it requires a company-wide all-in mindset focused on a shared mission. It is part of the long game, not a yearly or quarterly accomplishment.

About Jeff Winter

Jeff’s passion is helping manufacturers digitally transform in innovative ways through Industry 4.0 technologies. Doing so requires a unique ability to bridge the gap between business strategy, industry trends, technology implementation, and change management.

Jeff enjoys building collaborative relationships with clients, partners, coworkers, and industry evangelists to help empower manufacturers to achieve more. As an industry strategy leader for manufacturing for Hitachi Solutions, he focuses on helping companies that build things (discrete manufacturers) or stuff (continuous/process manufacturers) digitally transform.

Jeff is very active within the industry as a thought leader to help inspire companies, professionals, and students to be excited about the future created by the fourth industrial revolution.

To Download this Article in PDF Format

About the Author :

Mr. Jeff Winter
Sr. Director of Industry Strategy, Manufacturing,
Hitachi Solutions America

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

Mr. Jeff can be contacted at :

Email : jayaredoubleu@gmail.com, jwinter@hitachisolutions.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read Mr. Jeff’s earlier Articles :

The post Digital Transformation appeared first on Industry4o.com.

According to ISO – International Organization for Standardization, we are at a stage within Industry4.0 where some of the new disruptive technologies are mature enough to be leveraged by the industry (referred to as “Enablers“) . As part of this journey, there are also a set of design principles that are currently under development and of high relevance for archiving successful implementation of smart manufacturing (referred to as “Enhancers”)

Three Key characteristics that allowed technologies to become “Enablers” :

• Cheap and abundant data storage
• Fast and responsive computers and calculation power
• Ubiquitous and place-independent connectivity

Together these Enablers serve as the basis for today’s accelerated digital transformation.

When the “Enablers” are fully utilized along with the “Enhancers” there will bound to be new disruptive scenarios as we collectively transition into a “Smart Industry”. The future effects will lead to:

Circular manufacturing : the possibility to make products and production more sustainable and take advantage of retired products and their collected lifecycle information, filter out the essence, and use feedback for improving the manufacturing processes as well as the product itself.

Model-based product and production : the ability to utilize models at every point in the product lifecycle for the optimum use of the product.

Fully automated factories : the ability to use new technologies to enable new configurations of production automated to a very high degree.

Product personalization : the possibility to make mass-produced products more personalized

Predictive maintenance : the possibility to act prior to an unfavorable event (e.g. failure) and use in-process monitoring to enable the identification of the optimum time to replace parts, and hence maximize the service life.

Edge computing : the possibility to have all automation, including real-time control, in the edge of the cloud.

Servitization : the possibility to augment traditional physical products with related services. Hence, the product becomes a by-product of the service.

Data – driven business models : business models that are developed and customized based on data from the business. The more data, the better the business model.

For more information, I encourage you to read the full white paper here: 
https://lnkd.in/epYbS9re

About the Author :

Mr. Jeff Winter
Sr. Director of Industry Strategy, Manufacturing,
Hitachi Solutions America

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter with over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications:

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions:

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

He can be contacted at :

Email : jayaredoubleu@gmail.com, jwinter@hitachisolutions.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read his earlier Articles :

The post Smart Manufacturing appeared first on Industry4o.com.

If your competitors leverage Generative AI (ChatGPT or others) to understand and manage their business or change the way they engage with customers and you don’t… How will you compete?

As the consumer, imagine being able to ask:
– “I really like the fashion style of Pierce Brosnan in The Thomas Crown Affair – what do you have that would look similar?”
– “My TV’s volume is super quiet when using the Netflix app, but not when watching cable TV. What should I do?”

As a B2B customer, imagine Being able to ask :
– “Does your company perform regulatory compliance services? If so, do you have any examples related to 21 CFR Part 11?”
– “How does your company’s XYZ product compare to ABC? Why should I choose it?”

As a frontline worker, imagine Being able to ask :
– “Why did The Palletizer on Line 6 stop and how should I fix it?”
– “Create operating instructions and safety checklists for all the machines in Line 1 summarized by operational function in both English and Spanish.”
– “We are short one operator on Assembly Line 2 in the Dallas, TX plant – what is the best way to repurpose the existing two operators to cover the tasks and maximize output?”
– “My PLC5 ‘PROC’ light is red – how do I fix it and who is my local support contact?”

As a business leader, imagine being able to ask:
– “How will our data privacy policies need to be updated to comply with the proposed changes to federal and state consumer privacy laws?”
– “What are the top five differences between our top-performing facilities and our bottom-performing facilities?”
– “Where are we having the most sales success in terms of win ratio and sales cycle? Organize answers by industry, product line, geography, and competitors.”
– “Summarize our 10-K report into less than 500 words in layman’s terms”
– “Compare our 10-K to that of our top 10 competitors and summarize the main areas where we are ahead and behind”
– “Which department activities are most aligned with our strategic pillars?”

What creative ways are you thinking about using Generative AI for your company?

About the Author :

Mr. Jeff Winter
Industry Executive, Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter is an Industry Executive for Manufacturing with Microsoft where he acts as an industry advisor helping manufacturers across the US digitally transform at scale. With over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions :

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

He can be contacted at :

Email : jeffwinter@microsoft.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read his earlier Articles :

The post ChatGPT in Manufacturing appeared first on Industry4o.com.

Not only is the business world constantly changing, but it is changing at an accelerated rate. Things that may be considered revolutionary or innovative today can quickly become an obligation tomorrow. The “Window of Differentiation” is shrinking, shortening the lifespan of strategic plans, ideas, solutions, products, and even companies!

Why is Strategic IT Innovation Important?

Strategic IT innovation is the process of using new or improved technology to create value for your business. This can be done in a number of ways, such as developing new products or services, improving existing products or services, or creating new processes or methods that make your business more efficient. The key is to use technology in a way that gives you a competitive advantage and helps you better serve your customers.

Strategic IT innovation is aimed at giving your business a competitive advantage. This could involve developing a new product or service that meets a specific need in the market, or improving an existing product or service so that it’s better than what your competitors are offering. IT as a utility is focused on making your business more efficient and effective. This could involve automating processes or implementing new systems that make it easier for you to do business.

How can Companies leverage IT to Innovate Strategically?

1) Be Customer-Focused
2) Constantly Experiment
3) Think Big
4) Start Small

Thank you David Chappell for the great insight!

If you want to learn more on this topic, I encourage you to watch David’s video on IT Innovation :

https://lnkd.in/em48kVjF

About the Author :

Mr. Jeff Winter
Industry Executive, Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter is an Industry Executive for Manufacturing with Microsoft where he acts as an industry advisor helping manufacturers across the US digitally transform at scale. With over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions :

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

He can be contacted at :

Email : jeffwinter@microsoft.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read his earlier Articles :

The post Why is Strategic IT Innovation Important? appeared first on Industry4o.com.

According to McKinsey & Company, 84% of business executives believe that innovation is essential to growth. Although innovation isn’t new, its formality as a part of organizational strategy is on the rise!  However, only 43% of corporations have what experts consider a well-defined process for innovation, according to the research firm CB Insights.

My favorite definition of innovation is the “practical implementation of ideas that result in the introduction of new goods or services or improvements in the way goods or services are offered.”

To effectively innovate you need a culture of innovation, where you foster an environment that encourages all employees to share creative ideas and solutions. Ideally, you would want to have a single person at the helm, like a Chief Innovation Officer, that helps develop the processes, clear the roadblocks, and build the culture of innovation.

The role of “Chief Innovation Officer“ was first publicly introduced in 1998 in the book ?????ℎ ?????????? ?&?, yet 24 years later it is estimated that only around 30% of Fortune 500 companies currently have the Chief Innovation Officer as a formal role. (Source: https://lnkd.in/ewH9cBXB)

This may be why IDC in 2019 predicted that 40% of Chief Information Officers (CIOs) will be co-leading the innovation process in organizations by 2022. Do you think we got there?

In absence of a “Chief Innovation Officer” role, these functional responsibilities typically fall on the shoulders of the CIO. This means the CIO is no longer focusing on just managing information systems, data systems, and knowledge systems. Now, the role is about driving innovation by accelerating all the other functions of the company through integrated technologies.

Who is leading innovation at your company? And how do you integrate innovation into your business processes?

Graphic source and more info:
https://lnkd.in/erBgDMdT

About the Author :

Mr. Jeff Winter
Industry Executive, Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter is an Industry Executive for Manufacturing with Microsoft where he acts as an industry advisor helping manufacturers across the US digitally transform at scale. With over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions :

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

He can be contacted at :

Email : jeffwinter@microsoft.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read his earlier Articles :

The post Innovation VS Invention – Series #2 appeared first on Industry4o.com.

Series #1

When people think of the word “innovation” they often confuse it with the word “invention”.

Although they are similar, their subtle difference is quite important.

Definition of Invention :

The act of creating, designing, or building something has never existed before, often through research and experimentation. Inventions can be patented to protect the intellectual property of the inventor.

Definition of Innovation :

The practical implementation of ideas that result in the introduction of new products or services or improvements in the way products or services are offered that add value to the innovator or their customer.

Companies don’t need to invent to be innovative.

For Innovation to be a successful function within an organization, the company must be able to:

1) Produce new ideas on a regular basis
2) Quickly evaluate the good ideas from the bad ideas
3) Develop, implement, and commercialize the good ideas
4) Integrate the good ideas into the overall business strategy quickly and seamlessly

A good framework to get you thinking about innovation as more than just a “new product” is Doblin’s Ten Types Framework. This framework has 10 areas of innovation that are structured into 3 categories (Configuration, Offering, and Experience).   Most big breakthroughs end up being a combination of several of the types of innovation all coming together.

Which innovation category have you had the most success with?

Source and more information: https://lnkd.in/e7yc_Zh2

About the Author :

Mr. Jeff Winter
Industry Executive, Manufacturing

Jeff Winter is an Industry 4.0 & Digital Transformation Enthusiast | Business Strategist | Avid Storyteller | Tech Geek | Public Speaker

Jeff Winter is an Industry Executive for Manufacturing with Microsoft where he acts as an industry advisor helping manufacturers across the US digitally transform at scale. With over 15 years of experience working for different industrial automation product and solution providers, Jeff has a unique ability to simplify and communicate complex concepts to a wide range of audiences, educating and inspiring people from the shop floor up to the executive board room.  As part of his experience, Jeff is also very active in the community of Industry 4.0. 

Jeff is a part of the International Board of Directors for MESA (Manufacturing Enterprise Solutions Association), he is in the leadership committee for the Smart Manufacturing & IIoT Division of ISA (International Society of Automation), he is a U.S. registered expert for IEC (International Electrotechnical Commission) as a member of TC 65, and also part of Purdue University’s Smart Manufacturing Advisory Board.

Mr. Jeff is Accorded with following Honors & Awards :

https://www.linkedin.com/in/jeffreyrwinter/details/honors/

Mr. Jeff Winter is Bestowed with the following Licenses & Certifications :

https://www.linkedin.com/in/jeffreyrwinter/details/certifications/

Mr. Jeff is Volunteering in the following International Industry Associations & Institutions :

https://www.linkedin.com/in/jeffreyrwinter/details/volunteering-experiences/

He can be contacted at :

Email : jeffwinter@microsoft.com

LinkedIn : https://www.linkedin.com/in/jeffreyrwinter/

Also read his earlier Articles :

The post Innovation VS Invention – Series #1 appeared first on Industry4o.com.

Peter Drucker is famously attributed for saying “If you can’t measure it, you can’t manage it.”

But are you measuring (and managing) the right things?

5 Biggest Mistakes when it comes to KPIs

1) Measuring what is easy to measure – Often times companies select KPIs based on the available data at their disposal. Too many KPIs (just because you have the data) can easily be a distraction instead of providing focus, especially if the output of what is being measured is not actionable.

2) Measuring lagging indicators instead of leading indicators – A leading indicator looks forward at future outcomes and events (e.g. # of sales calls made, etc. ). A lagging indicator looks back at whether the intended result was achieved (e.g. revenue, profit, etc.). This means leading indicators are often harder to measure and easier to influence, whereas lagging indicators are easier to measure and harder to influence.

3) Not linking KPIs with business objectives and strategy – For KPIs to be effective they need to measure both operational and strategic objectives. Do your KPIs help let you know whether you are on track to meet these objectives or not? If not, they are most likely not useful.

4) Over incentivizing KPIs – When KPIs are directly linked to personal incentives, the KPI often becomes the target and primary focus, rather than a useful management tool to help with decision making, allocation of resources, and strategy evaluation. Are your KPIs driving the right behaviors?

5) Not continually re-evaluating KPI effectiveness – Best-in-class companies continually challenge and question whether the current KPIs are effectively providing value. KPIs should provide easy actionability that allows for course correction towards their respective operational and strategic objectives. But KPIs, and their associated targets (especially when new), may just be an educated guess. Ensure there is a dedicated resource assigned to regularly evaluate KPI effectiveness instead of just managing the KPIs themselves.

Anything you would add to the list?

Thanks Marketoonist for the great graphic!

The post 5 Biggest Mistakes when it comes to KPIs appeared first on Industry4o.com.

The idea of cobots was invented in 1996 by J. Edward Colgate and Michael Peshkin, professors at Northwestern University. The idea of collaboration between human and machine opens the doors for many new ways of increasing productivity and quality.

Cobots offer the most value in situations where a human needs to be in close proximity to the robots, including:
• Pick and place
• Material handling (especially between different process stages)
• Process tasks requiring tools
• Quality Inspection
• ‘learn to follow’ applications (where the Cobot is taught to move along a predefined motion path)

The International Federation of Robotics defines four levels of collaboration between industrial robots and human workers:

• Level 0 (Fenced robot cell) : Humans and the robots are fully separated in space; there is no collaboration
• Level 1 (Coexistence) : Human and robot work alongside each other without a fence, but with no shared workspace.
• Level 2 (Sequential Collaboration): Human and robot are active in shared workspace but their motions are sequential; they do not work on a part at the same time.
• Level 3 (Cooperation) : Robot and human work on the same part at the same time, with both in motion.
• Level 4 (Responsive Collaboration) : The robot responds in real-time to movement of the human worker.

The collaborative robotics (cobots) market is predicted to exceed $24 billion by 2030. (Source: ABI Research)

In 2015, the collaborative robotics market was valued at just $95 million. By the end of 2019, it was worth a little over $1 billion. Reports predict an increase with a CAGR of 28.6% till 2030. (Source: ABI Research)

Are you taking advantage of Cobots yet?

The post What is a Collaborative Robot ? appeared first on Industry4o.com.

So…you are strategizing, planning, or starting to roll out a Digital Transformation initiative?

Most people agree Digital Transformation is not only financially beneficial but also will be a necessity of survival. However, across the manufacturing industry, Less than half (41%) of companies are in the “Rollout” phase of their Digital Transformation Journey according to PTC. That means 59% are still figuring it out!

And if that isn’t surprising enough, according to Boston Consulting Group (BCG), roughly 70% of digital transformation initiatives fall short of their objectives. That is crazy!!!

What are the most common symptoms of digital transformation failures across the industry?

Not investing in the right culture. Many processes and activities will change for most employees – Make sure as much effort is spent on the cultural change as the technological implementation.

Not having clear transformation objectives. Before selecting a single technology or pilot application, be sure to have clear objectives that link back to desired business outcomes.

Not hiring the right talent. Don’t just hire technical wizards. Select the right change agents who know how to guide the implementers. If you don’t have the knowledge and skills in-house, consider hiring consultants who do this for a living.

Not thinking beyond the implementation. This is a company-wide transformation and therefore will most likely require changes and course corrections along the way. Let the goal guide you, not the technology.

Not letting go of the old ways (technology and processes) If you try to digitally transform merely by adding new technologies on top of existing systems and processes, you are bound to create redundancies, inefficiencies, unnecessary complexity, and be arbitrarily constrained by old systems.

Not grasping how to budget for digital transformation. Have a long-term strategy in place that leverages a flexible budgeting model based on a continual stream of incremental initiatives, successes, and easily demonstratable ROI.

Not putting enough emphasis on security Don’t overestimate the importance and potential complexity of cybersecurity when digitally transforming. Net Solutions’ digital transformation report for 2020 states that a company’s successful digital transformation journey relies on its ability to secure its digital operations.

The post Digital Transformation Risk and Obstacles Ahead appeared first on Industry4o.com.