You will discover:  

• How upskilling and reskilling creates dynamic employees who become indispensable assets to companies across the manufacturing industry
• Effective strategies for bridging the skills gap, including long-term recruitment and retention plans, partnerships with schools, internships and providing continuous learning opportunities. 
• Siemens’ shift towards “learning as a service,” which blends digital and traditional learning methods for a more flexible and effective educational experience. 

For more information about reskilling and upskilling, visit these pages: 

• WEF_Putting_Skills_First_2024.pdf (weforum.org)  
• Hour of Engineering – Home 
•  Innovation in the Classroom Podcast – Siemens Software Podcast Network 
• https://www.sw.siemens.com/en-US/academic/ 

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It’s no secret that there is a significant shortage of both the quantity and quality of talent in manufacturing. The industry is technologically evolving, the current workforce is aging and supply chain instabilities are causing organizations to consider onshoring or nearshoring their operations—all of which are contributing to the shrinking talent pool. The solution to this growing workforce challenge? Investing in reskilling, upskilling and education. 

In this podcast, Rahul Garg, VP of industrial Machinery at Siemens Digital Industries Software and Dora Smith, Senior director of Global Education and Startup Strategy at Siemens, discuss the challenges and potential solutions related to the workforce skills gap in manufacturing. 

You will learn:  

• How automation and other technologies are enhancing manufacturing capabilities, making it crucial to upskill the workforce. 
• Effective strategies for bridging the skills gap, including long-term recruitment and retention plans, partnerships with schools, internships and providing continuous learning opportunities. 
• Siemens' shift towards "learning as a service," which blends digital and traditional learning methods for a more flexible and effective educational experience. 

Visit these pages to learn more about reskilling and upskilling:

• WEF_Putting_Skills_First_2024.pdf (weforum.org)  
• Hour of Engineering - Home 
•  Innovation in the Classroom Podcast - Siemens Software Podcast Network 
• https://www.sw.siemens.com/en-US/academic/ 

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This episode will cover how generative AI will: 

• Eliminate mundane tasks and increase productivity 
• Facilitate and increase access to AI’s capabilities among the workforce 
• Speed up machine maintenance 
• Revolutionize the way companies design, develop, and manufacture equipment

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In this episode you’ll learn:

• How our factory in Bad Neustadt effectively manages connectivity and data collection in a brownfield environment
• Strategies for manufacturers to address IT/OT integration challenges such as cybersecurity, data latency issues and bridging cultural gaps between IT and OT employees
• The rewards from IT/OT convergence, including reduced downtimes, improved flexibility, increased sustainability efforts and more

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manufacturers can utilize service and asset management to. Join host Victoria

Carlos, thought leadership writer at Siemens Digital Industries Software, as

she discusses the long-term benefits of service and maintenance with Kerri

Doyle, senior marketing manager at Siemens Digital Industries Software and

Brett Hillhouse, global sales leader for the Automotive and Electronics Industry

at IBM.

The episode will cover:

·      

• Advantages of predictive maintenance 
• Achievements and windfalls of IBM and Siemens partnership     
• Benefits of connected PLM 
• How IBM and Siemens solutions can bolster sustainability and circularity

In this episode you’ll learn:  

• Benefits and challenges of IT/OT convergence: Understand the potential advantages and difficulties companies may encounter when integrating IT and OT 
• Real-world insights from Siemens: Gain insights from Siemens' factory in Bad Neustadt, which has successfully implemented IT/OT convergence to improve productivity. 
• Importance of a data-driven approach: Learn how Siemens emphasizes becoming a data-driven organization, using IT and OT data to enhance performance management, quality reporting, and overall productivity. 
• Overcoming integration challenges: Discover strategies to address common challenges, such as building ecosystems, ensuring cybersecurity and empowering employees to utilize data and collaborate effectively. 

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By listening to this podcast you’ll learn about:

• The unique challenges that battery manufacturers face compared to traditional manufacturing, including high scrap rates, complex interactions between different domains (materials, electronics, chemicals) and the significant impact of minor changes on quality and manufacturability.
• How digital transformation and tools like the Digital Twin can help reduce waste, boost efficiency and achieve a lower carbon footprint in battery manufacturing
• The importance of close collaboration between battery suppliers, material providers and machine builders are vital for overcoming challenges and enabling industry growth

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This episode of our smart manufacturing podcast covers the challenges battery manufacturers and machine builders are currently facing and how digital transformation is key to success. In this episode you’ll learn about:

· The challenges that are driving industries to begin adopting smart manufacturing technologies

· How the battery manufacturing industry has evolved in light of the innovations in smart manufacturing

· What is pushing countries worldwide to develop competencies for battery manufacturing

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You will learn:

·      How the fusion of PLM and CRM revolutionizes service strategies in the industrial machinery industry

·      The significance of the Siemens and Salesforce partnership in enhancing customer experience and addressing pressing industry challenges

·      How the integration of AI, data, PLM and CRM empowers machine builders to optimize service delivery, improve efficiency and foster sustainability.

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This episode will cover: 

• How the executable digital twin improves factory performance and enhances predictive management capabilities 
• Improving cybersecurity to maximize the potential of the digital twin 
• The evolution of simulation technology 
• The exciting future of the industrial metaverse 

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This episode will cover: 

• The value of virtually simulating production processes, production lines, and production cells 
• Potential benefits machine builders and manufacturers gain from simulation software investment 
• The steps manufacturers can take to start implementing simulation software into their operations 

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Siemens Digital Industries Software investigating how software and automation

technologies will combine to enable a future of smart machines and even smart

industries. Join host Conor Peick, Thought Leadership Team Writer, in

conversation with Dale Tutt, VP of Industry Strategy; Rahul Garg, VP of

Industrial Machinery; and Michael Thomas, SVP of Factory Automation and Head of Production Machines, as they discuss the trends and challenges in the

manufacturing ecosystem today, the exciting technological advances on the

horizon, and the role of digitalization in enabling the future of smart

manufacturing.

In part three you will learn about:

• The advantages of partnering with an industrial automation and software company.  
• How an integrated automation and software offering can help shorten time-to-value.
• And how cloud-based offerings can help manufacturers remain flexible to future disruptions and demands.

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In part two you will learn about:

• Key technologies that can help machine builders and manufacturing companies to overcome the challenges posed by labor shortages, complexity, sustainability, and more
• The specific advantages of employing the digital twin and advanced simulation technologies
• And how IT and OT are converging to provide a digital thread from design through actual operations.

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In part one you will learn about:

• Major trends and challenges affecting the manufacturing ecosystem, including sustainability, supply chain disruptions, and more
• How these trends are driving complexity for factories and how they are managed
• And how complexity is affecting the design of new smart industrial machinery

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Eryn references a quote about how a sustainable society doesn't require a few people to do things perfectly but needs everyone to do them imperfectly. She elaborates by saying that the most essential thing that entities can do is start it and get it going. Sustainability is not merely hiring a few people to address sustainability but infusing sustainability, quality, and environmental protection considerations into almost every organizational role.

Specific topics covered include:

• Minimizing standby energy usage by taking core technical or business-focused skillsets and applying sustainability principles and considerations.
• Reaching the eventual goal of sustainability – zero waste. The zero downtime, zero harm and zero impact on the planet with low-cost clean, renewable energy use – driving towards decarbonization, energy efficiency, resource efficiency, and circularity.
• Learning digitalization is a key enabler, providing the ability to think bigger and broader, bringing forward less intuitive ideas and leveraging technology.

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In this fourth episode, they cover aspects of OT/IT convergence that assist in controlling and predicting what's going happening on the production floor, managing the energy use of equipment, or optimizing it based on looking at minimizing resources. They also discuss digitalization in the virtual world, being able to start from scratch again and again, making it easy to take advantage of the benefits of a digital twin, leveraging it to reduce times and cost, using a digital twin to all the various operations, optimizing them, making production more flexible and predictive.

Specific topics covered include:

• A one percent reduction in the industrial carbon footprint means 70 million tons of CO2 emissions per year.
• The carbon emission impact can be driven by making the machines more efficient regarding energy usage and energy resource impact on the planet.
• Using digital twins to simulate hundreds of variations ensures correct design choices.
• Optimizing the process helps you optimize your performance, and in turn, it helps maximize sustainability requirements.
• Virtual commissioning and a digital twin can help understand the carbon impact by assisting with peak performance, sustainability, and machines' carbon impact.

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They will look at digitalization and sustainability holistically, helping a company to be more adaptable, agile, and flexible and improve the overall ability to deliver their product. The focus is on the best way to optimize the design process using digitalization tools while looking at the cost of the part from a supplier, its carbon footprint and the supplier's carbon footprint in delivering it to your factory or location.

Specific topics covered include:

• A brief background of Eryn and Rahul's professional work experience.
• The four issues driving the need for change in the industrial machinery industry.
• How the need for electrification is driving the need for efficiency.
• Leveraging digitalization for energy efficiency, decarbonization circularity, and resource efficiency.
• How to best optimize your design process using digitalization tools for sustainable outcomes.

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Today, we have part 2 of the discussion between Dale and Eryn Devola, Head of Sustainability at Siemens Digital Industries, with guest host Nick Finberg, who is our resident sustainability expert on the Thought Leadership team. In part 2, Dale, Eryn, and Nick continue to dive into the challenges and opportunities presented by sustainability initiatives, and how a digitalization strategy can help companies to achieve the sustainability demands of tomorrow.

Specific topics covered include:

• How the Digital Twin plays a role in the journey to sustainability
• The importance of understanding and considering the breadth and depth of a modern supplier ecosystem and supply chain to sustainable innovation
• Key goals for several industries in their pursuit of sustainability
• And more

Thanks for listening!

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Today, we have a slight programming change. For this two-part episode, I asked my colleague Nick Finberg to guest host in my stead. Nick is our resident sustainability expert on the thought leadership team, making him a perfect fit for our guest.

Speaking of which, Nick and Dale are joined by Eryn Devola, Head of Sustainability at Siemens Digital Industries. They will discuss how companies are pursuing sustainability today, some of the challenges that stand in the way, and how a digitalization strategy can help companies to achieve the sustainability demands of tomorrow.

Topics covered include:

·      Why companies are making sustainability central to their organizational strategy

·      The concept of collective intelligence, and how it is generated

·      How the Digital Twin plays a role in the journey to sustainability

·      And more!

Thanks very much for listening!

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Throughout the series, we’ve taken this deep dive into Intelligent Performance Engineering to help answer questions and curiosities about this groundbreaking technology. We’ve talked about integrated part design, simulation, the digital twin, and how these are reshaping the traditional process models. 

Joining us again today are Rahul Garg, Industry Leader for Siemens Industrial Machinery, and Giulio Camauli, Industry Solutions Manager at Siemens Digital Industries Software. As  representatives of the industrial machinery industry, they’ve really helped us understand the  Intelligent Performance Engineering Solution, and they’ve outlined the benefits manufacturers stand to gain through its implementation.

In today’s episode, we’ll close out this series by summarizing what makes Intelligence Performance Engineering so valuable to customers. We’ll also talk about how the digital twin eases the process of gathering information, share some insights around closed-loop validation, and discuss the unique ability of the digital twin to quickly respond to customer needs. 

What You'll Learn In This Episode:

• Why closed-loop validation is important for machine builders and suppliers (1:57)
• The complexities of data sharing from the customer perspective (3:49)
• The benefits of using a digital twin (5:27)
• Why the connection between the simulation model and the machine conditions in real-time is so important (10:07)
• The biggest advantages for the machine industry embracing digitalization (15:02)
• Why Intelligent Performance Engineering is critical for manufacturers(16:07)

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The answer is simple: integration. When part design and simulation are integrated, designers and engineers can work together seamlessly. Proposed changes in design can be simulated using simple drag and drop tools. This integrated approach has the capacity to streamline a process that would otherwise be inefficient and profoundly cost-prohibitive. 

Joining us again today are Rahul Garg, Industry Leader for Siemens Industrial Machinery, and Giulio Camauli, Industry Solutions Manager at Siemens Digital Industries Software. Their expertise as representatives of the industrial machinery industry will help us to better understand the ins and outs of the Intelligent Performance Engineering Solution from Siemens Digital Industries Software.

In today’s episode, we’ll talk about the advantages of integrated part design and simulation, how this is benefitting manufacturers, and where the digital twin fits into the equation. We’ll also share a few examples of how companies are successfully applying these integrated systems in ways that weren’t possible with the traditional process model. 

What You'll Learn In This Episode:

• The challenges that machine builders are facing where the multiphysics simulation approach comes in handy. (01:43)
• Why it’s useful to pre-assess any new design modifications and what it entails. (02:50)
• The importance of implementing the integrated design and manufacturing process. (04:22)
• Why the digital twin is unique in the context of Intelligence Performance Engineering (06:46)
• The benefits the manufacturers can achieve by incorporating integrated design and simulation into their manufacturing process. (08:56)
• A real-world example of a company that implemented this integrated design and simulation approach. (10:09)

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Joining us again today are Rahul Garg, Industry Leader for Siemens Industrial Machinery, and Giulio Camauli, Industry Solutions Manager at Siemens Digital Industries Software. Their expertise as representatives of the industrial machinery industry will help us to better understand the ins and outs of the Intelligent Performance Engineering Solution from Siemens Digital Industries Software.

In this episode, we’re diving deeper into Multiphysics Simulation. We’ll talk about how this technology helps companies design, validate, and manage contemporary manufacturing and assembly operations seamlessly despite such complexity. 

Some Questions I Ask:

• What exactly is Multiphysics Simulation? (1:45)
• What are some benefits of Multiphysics Simulation? (4:57)
• How does Multiphysics Simulation help OEMs and their broader supplier network, connect and potentially act smarter? (6:15)
• How does Intelligence Performance Engineering leverage Multiphysics Simulation to aid in collaboration? (7:36)

What You’ll Learn in this Episode:

• A recap of the three key differentiators in the Intelligent Performance Engineering Solution (0:40)
• How machinery is approaching the current validation and analysis practices in the field today (3:06)
• How Multiphysics allows the user to collaborate more efficiently (5:40)
• An example of a company using this technology and how it benefited their bottom line (8:50)

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My guests today are Rahul Garg, Industry Leader for Siemens Industrial Machinery, and Giulio Camauli, Industry Solutions Manager at Siemens Digital Industries Software. As representatives of the industrial machinery industry, they have an advanced understanding of the Intelligent Performance Engineering solution from Siemens Digital Industries Software.

In this episode, we’ll talk about the growing complexity of manufacturing equipment, and why it’s crucial for industrial OEMs to build more accurate, trustworthy simulations using advanced software capable of meeting the needs of customers. 

Some Questions I Ask:

• What is Intelligent Performance Engineering, and why is this critical? (1:24)
• Can traditional processes support the digital twin approach? (3:35)
• Has technology been the biggest catalyst for change in the machinery industry? (5:38)
• Why is digitalization so important for machine manufacturers? (9:18)

What You’ll Learn in this Episode:

• Why there is growing attention towards Intelligent Performance Engineering (2:10)
• How the growing demands of flexibility and complexity are being addressed (7:27)
• Why intelligent performance is so important in today's marketplace (10:39)
• The importance of closed-loop validation (11:58)

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Manufacturers in-the-know are relying on digitalization, and additive manufacturing is saving the day in more ways than one. By enabling improvements to product quality and design, and with its ability to create complex geometries, manufacturers are using digital parts production to build stronger and lighter products that are out-innovating and out-producing the competition. It’s become clear that the faster companies adopt this digital technology, the more successful they will be.

Back with us today is Rahul Garg, the industry leader for Siemens industrial machinery industry. We’re also welcoming Ashley Eckhoff to today’s show, he’s a member of the Additive Manufacturing Programme team with Siemens Digital Industry Software. 

In this episode, we’re taking a closer look at the advantages of additive manufacturing, both in terms of efficiency and quality of parts. You’ll hear how digital parts production leads to less waste and more efficiency, and how creating a digital twin allows manufacturers to take advantage of the data being collected. Finally, we’ll close out the series by summarizing the biggest advantages for the machinery industry to step into digitalization, and how manufacturers can get started.

In this episode you will learn:

• The definition of additive manufacturing and its advantages (2:14)
• How additive meets the specific challenges that manufacturers are facing today (3:25)
• Understanding digital parts production (5:30)
• The purpose of a digital twin (6:29)
• Additive success stories (9:28)
• The biggest advantages of digitalization for manufacturers (12:43)
• 3 important ways to take advantage of digitalization(15:19)

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Manufacturers often struggle with facilitating communication and timing between the data and people. As the flow of information becomes increasingly complex, synthesizing all that information becomes a major challenge. If manufacturers don’t embrace synchronized parts manufacturing, problems may arise from the data’s lack of organization.

Today, I welcome back Rahul Garg, the industry leader for Siemens industrial machinery industry. I’m joined as well by Brad Rosenhamer, a portfolio development executive focused on manufacturing operations management for industrial machinery, heavy equipment, and automotive markets. 

In this episode, you’ll learn about some challenges facing machine builders, the advantages of synchronized parts manufacturing, and how the digital twin fits into the discussion. Brad also discusses some companies that are successfully implementing synchronized parts manufacturing and we’ll explore why adopting this process is a critical strategy for manufacturers. 

In this episode you will learn:

• Some common issues plaguing today’s manufacturers (02:26)
• Why it's so important to have a synchronized part manufacturing process and some of the risks in not doing so (03:30)
• About the digital twin in the context of digital part production and synchronized part manufacturing (04:48)
• The benefits for manufacturers that incorporate synchronized part manufacturing (06:38)
• Why it’s critical for manufacturers to look at the sum of all manufacturing process (08:17)
• Some examples of companies that have integrated a holistic approach into their manufacturing (10:28)

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Understanding the importance of efficiency in high-level manufacturing, the designers behind CAM sought to create a solution that digitized the design and manufacturing process, while connecting the various types of software from every aspect of the part-making process. It also allows companies to capture and reuse data, minimize waste, and increase overall efficiency. With CAM, manufacturers can now pivot quickly when digital threats arise.

Today, we’re taking an in-depth look at highly automated CAM, or Computer-Aided Manufacturing. Here to help us understand how this technology works are Sashko Kurciski, leader of the marketing efforts for Siemens part manufacturing software portfolio, and Rahul Garg, Industry Leader for Siemens Industrial Machinery.

In this episode, you’ll hear about how CAM links manufacturing, engineering, and production, resulting in better efficiency and simplified communication across the board. Sashko and Rahul will also share a couple of real-world examples of early adopters to CAM, and you’ll hear how manufacturers are differentiating themselves by taking advantage of this technology. 

In this episode you will learn:

• A breakdown of CAM software and how it helps manufacturers (2:38)
• One example of a highly automated CAM solution (4:51)
• The shared goal of modern manufacturers (6:58)
• Why software connectivity is so important (10:05)
• How the digital twin saves time (13:51)
• The role of additive manufacturing in part production (16:59)
• How digitalization helped a Netherlands-based manufacturer perform better (18:25)
• The link between automation and efficiency (20:49)

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As industrial equipment becomes more complex, it is increasingly obvious that leading industrial manufacturers have to use new strategies in order to succeed in today's competitive market. OEMs have to create fixes that put forth superior shop management as well as more efficient operations. Right now, Digital Part Production looks like the fix for many of those concerns. 

Bill is joined today by Rahul Garg, Industry Leader for Siemens Industrial Machinery and Frans Adamowicz, Solution Director at Siemens Industrial Machinery. Each has over 30 years of experience and will help us break down some of the major challenges facing digital production and the digitalization within the industry today. 

In this episode you will learn:

• What exactly digital production is and why it’s critical for industrial machinery companies to develop new engineering practices (00:58)
• The four key trends driving the need for adopting digitalization (3:50)
• About the concept of digitalization and the context of the digital twin in digital production (7:18)
• The key differentiators of digital production and what makes them unique in today’s marketplace (8:58)
• About new technologies additive manufacturing (11:12)

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In the first three podcasts, we talked about the evolution of technology within the machinery industry, key trends that continue to shape the industry today, and we have also introduced the Advanced Machine Engineering solution at a high level by describing two of the three key differentiators: multi-disciplinary design and virtual machine simulations & commissioning.

Today, in our final podcast of the series, Bill and I are discussing the third key differentiator of the Advanced Machine Engineering solution – multi-disciplinary Bill of Material and configuration management.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through the application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy.

So, listen to Episode 4 of the Siemens Podcast on Advanced Machine Engineering, to learn how to leverage your proprietary data to create a digital thread approach to engineering and also create a competitive advantage.

Questions I ask:

• What is a managed environment and why should it be important to the machine builders and their suppliers? (02:15)
• Is complexity the only challenge around this topic of data management, or are there other areas that we need to be concerned with, as well? (07:31)
• How can Advanced Machine Engineering solution help solve these challenges? (10:25)
• Before we end this podcast, could you quickly summarize the main advantages of the Advanced Machine Engineering solution and why it should be considered by our listeners? (14:58)

In this episode, you will learn:

• The Configure to Order approach. (03:48)
• The Engineer to Order approach. (04:46)
• The importance of having a Bill of Material that represents the entire machine. (05:57)

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• LinkedIn

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Today, our expert in the series, Bill, focuses the discussion around virtual machine simulation and commissioning and how machine manufacturers are implementing this approach to improve the quality and reduce delivery time for highly complex machines.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through the application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy.

So, listen to Episode 3 of the Siemens Podcast on Advanced Machine Engineering, where we talk about the importance of adopting and integrating virtual machine simulation and commissioning into the manufacturing process.

Questions I ask:

• What is virtual machine simulation and commissioning? (01:51)
• What are the simulation approaches that are being leveraged to address the challenges? (08:01)
• What are some of the benefits for the manufacturers that incorporate this virtual machine simulation and commissioning approach and integrate it into their manufacturing process? (16:16)

In this episode, you will learn:

• The challenges that machine builders are currently facing. (03:21)
• The advantages of simulating the machine’s performance in a virtual world. (13:53)

Connect with Bill:

• LinkedIn

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Today, in our second podcast of this series, we are discussing the first key differentiator and we are learning how machine manufacturers are leveraging multi-disciplinary design to make their manufacturing more efficient.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through the application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy.

So, listen to the second part of the Siemens Podcast on Advanced Machine Engineering, where we discuss the significance of multi-disciplinary collaboration for machine builders and we also expand on the benefits of implementing this approach.

Questions I ask:

• What exactly is multi-disciplinary design? (01:55)
• How would you respond to someone who might minimize the value that you just described for multi-disciplinary collaboration? (04:28)
• Do you have any examples for any companies that have embraced Advanced Machine Engineering as a strategy and if so, what kind of results they might have seen? (14:08)

In this episode, you will learn:

• The meaning of the Mechatronics Concept Designer. (06:59)
• The dangers of having too much integration too quickly. (08:01)
• The benefits for those who are incorporating a multi-disciplinary collaboration into their manufacturing process. (10:47)

Connect with Bill:

• LinkedIn

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Today, in our first podcast of the series, we are discussing how machinery manufacturers are gaining a competitive advantage by implementing a digital twin approach to engineering, which enables the development of highly complex machines faster.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy. 

So, listen to the first part of this Siemens Podcast on Advanced Machine Engineering, where we will cover some of the challenges and trends facing machinery manufacturers today, and how these challenges are driving an evolution of technology that is now enabling machine manufacturers with the ability to maximize profits and also look at the industry trends driving the adoption of this innovative technology.

Questions I ask:

• Let's take a look back at the last 10 years. There have been so many changes in the machinery industry, but what would you cite, from your perspective, as one or two significant technology changes that have shaped the industry in the past decade? (03:52)
• Would you say technology has been the biggest catalyst for change in the machinery industry? Or are there other factors that are creating the need for advanced technology solutions as well? (05:58)
• Can you, from your perspective, elaborate a bit on the concept of digitalization and more specifically, the digital twin in the context of the industrial machinery? (09:11)
• Can you help the listeners understand what exactly is Advanced Machine Engineering, and what makes it unique from any other approaches machine builders and their suppliers are using today? (12:23)

In this episode, you will learn: 

• About Bill’s background and how that has helped him with his current role at Siemens. (01:42)
• The meaning of Generative Design Movement. (04:50)
• How the consumer-driven customization influences machine manufacturing. (06:27)
• Why you should adopt a digital twin, from a machinery standpoint. (10:43)

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• LinkedIn

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With technological advancements all around us in the manufacturing industry, it's important to understand how improving machinery operations is dependant upon making your factory smarter.

Today, in our fourth and final podcast of these series, Bill Davis — the Director of Industrial Machinery and Heavy Equipment Solutions at Siemens — and I, we're discussing the smart manufacturing techniques to use to improve machine assembly, shop layouts, and process simulation.

So, listen to the Final Episode of the Siemens PLM Podcast series, to learn how to be more efficient in terms of generating more cash and reducing the quality problems overall, with the help of the digital twin.

In this episode, you will learn:

• How to make sure you get the right parts to the right spot on the assembly floor at the right time. (01:53)
• Why process simulation is important for continuous improvement. (02:55)
• Why scheduling machines and multiple product lines at the same time is as important as the individual assembly process. (05:12)
• What you can do to bring a machine into the commissionable state as quickly as possible so that you don’t have idle time for your cash. (06:30)
• Examples of use cases where companies have implemented the simulation and seen a reduction in errors and time, while an increase in cash flow. (09:49)
• What closed-loop quality is and how does it work. (14:29)

Connect with Bill Davis:

• LinkedIn

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There are not many companies the size of Siemens with both the manufacturing capability and their industry breadth of knowledge.

Today we're learning how machine manufacturers are implementing smart manufacturing to improve the product of parts manufacturing. 

Listen to the Third Episode of Siemens PLM Podcast series, where Bill and I are going to take a close inspection of the improvement smart manufacturing brings to manufacturing execution management, including manufacturing of the bill of process, and manufacturing of the bill of materials. 

Questions I ask:

• When you look at the greater global Siemens and their approach to smart manufacturing, could you give some of the things we have learned in our approach, and how that's changed and how it's been a dynamic process of learning and improving and just our general philosophy in approaching smart manufacturing? (01:25)
• When you spoke of quality, when we're looking at building the highest quality parts for the lowest amount of labor content in the fastest time, what are some of the differentiators that Siemens provides in parts manufacturing? What kind of technology are we inputting to make sure that happens? (08:13)
• When you're talking about these complex machine centers, how we can be smarter and the challenges of manufacturing operations to maximize quality in assembly and in commissioning, what are some of the right solutions that we use in implementing that?

In this episode, you will learn:

• What the concept “Bill of Process” means. (04:53)
• The importance of meeting the conditions that the machine shop has, when fabricating any part of the machine (08:56)
• The implications of moving away from single-purpose machining centers toward higher capacity multi-function machining centers. (13:40)
• How Siemens is dealing with the skilled labor shortage. (15:10)

Connect with Bill Davis:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

In this podcast, Bill Davis—the Director of Industrial Machinery and Heavy Equipment Solutions at Siemens—and I do a deep-dive into how machine manufacturers leverage the digital twin technology to start utilizing smart manufacturing. The digital twin does more than what one sees on the surface; it really spans the whole gamut, from design to manufacturing to operations management, into commissioning and service life. 

Tune in to learn about the portability of this tool, and how the digital twin overall vastly improves the production process. 

Some Questions I Ask: 

• How does 3-D printing come into play with Smart Manufacturing? (1:31)
• What are the benefits of smart manufacturing? (10:29)

In This Episode, You Will Learn: 

• What the digital twin fully encompasses and how it functions in the design process. (4:06)
• How the digital twin is applied to manufacturing disciplines. (6:26)
• What factors determine the overall return on investment in smart manufacturing. (10:47)

Connect with Bill Davis:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

Siemens is one of the largest industrial automation supplier in the world,

With a unique position in the software side. 

They have been a leading provider of industrial automation for a number of years 

So they understand how technology needs to be integrated into the machinery.

Today, in our first podcast in this series, Bill Davis and I, we're discussing how machinery manufacturers are gaining a competitive edge by implementing smart manufacturing.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens. He has a Mechanical Engineering Degree, Bachelor in Science Degree from Milwaukee School of Engineering, with a Masters in Business Administration from Marquette University. In the course of his experience, he has gained a lot of skills with regards to CAD and PDM, as well as operations management. 

Listen to the First Episode of Siemens PLM Podcast series to learn how machine manufacturers are maximizing profits, and the industry trends driving the adoption of this innovative technology.

Questions I ask:

• Within that 30-year span of your career, how long have you been focused on smart manufacturing? (02:28)
• What is smart manufacturing? (03:01)
• In what way is Siemens PLM implementing smart manufacturing into companies and into manufacturers? (06:08)
• In looking at just the trends in this industry, how do you see Siemens with the machine trends and aligning that with smart manufacturing? (08:38)
• How are you seeing trends changing in the way customer purchases a machine? (12:52)

In this episode, you will learn:

• Bill Davis’s background and career. (01:15)
• Smart manufacturing at the product level. (03:55)
• Smart manufacturing at the machinery level. (04:32)
• What adaptability means, in terms of smart manufacturing. (09:42)
• What extendability refers to, in terms of smart manufacturing. (11:22)

Connect with Bill Davis:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

We’ve witnessed the industry-wide benefits that digitalization has provided for companies around the world. Smart factory solutions have helped manufacturers manage disruptions and keep workflow constant, while simultaneously minimizing risk to employees. It’s produced an increased interest in IoT technology, and that interest is only growing as more companies turn towards digitalization. 

In this final episode of the “Future-proof with the IoT” mini-series, Jörg Ludwig joins colleagues Heiko Dickas, team leader of the digitalization team, and Sebastian Oeder, the head of the production unit main motors, from the electric motor factory at Siemens Bad Neustadt an der Saale, Germany. He also welcomes back Colm Gavin, Portfolio Development Manager, and Matthias Lutz, Head of PreSales and Solution Design.

We’re finishing up this discussion by talking about how sudden and fluctuating economic conditions, such as the COVID-19 pandemic, can affect manufacturers, and how IoT can ease the associated costs and pain. We’ll discuss smart factory solutions that are helping customers adapt more quickly to disruption, and how companies can begin to implement IoT and digitalization throughout their organization. We’ll also talk about the importance of predictive maintenance in controlling the controllable in order to minimize the overall impact when disruptions occur.

Some Questions Asked:

• How can manufacturers use the industrial IoT to prepare for disruptions? (1:43)
• How prepared was the factory at Siemens Bad Neustadt? (5:05)
• Has the COVID-19 pandemic been a catalyst for digital transformation? (6:52)
• How can IoT help manufacturers better prepare for unforeseen and uncontrollable events? (8:47)

What You Will Learn:

• Questions manufacturers need to ask to prepare for future disruptions (3:37)
• How digitalization helped ease the disruption brought on by the pandemic (5:44)
• The solution for managing an uncontrollable event in manufacturing (10:17)
• Solutions for decreased energy consumption (11:24)

Connect with Heiko Dickas:

LinkedIn

Connect with Sebastian Oeder:

LinkedIn

Connect with Colm Gavin:

LinkedIn

Connect with Matthias Lutz:

LinkedIn

Connect with Jörg Ludwig:

LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

The answer is the Internet of Things (IoT). It’s helping industrial manufacturers leverage digitalization and overcome manufacturing disruptions so that they’re able to bounce back stronger. Digitalization and connectivity are the keys to success as the industry progresses toward the future, and the time to take advantage of this revolutionary technology is now. 

In this episode, Jörg Ludwig once again welcomes our colleagues from the electric motor factory at Siemens Bad Neustadt an der Saale, Germany, Heiko Dickas, team leader of the digitalization team, and Sebastian Oeder, the head of the production unit main motors. Colm Gavin, Portfolio Development Manager, and Matthias Lutz, Head of PreSales and Solution Design, also join in the conversation.

You’ll hear from these industry and digitalization insiders why there’s no better time than the present to start connecting systems by implementing IoT. You’ll learn how to choose the solution that best fits your company, real-world results achieved by using the digital twin, and the impressive benefits of digitalization throughout the manufacturing process. The efficiency, connectivity and information gathered from data sources all provide exponential benefits that begin to help companies meet the challenges faced within the industrial machinery industry today.

Some Questions Asked:

• What solutions and benefits IoT can offer to face the challenges of the manufacturing trends? (1:30)
• Between building your own IoT solution and adopting a ready-made one, how do companies decide between the two? (6:49)
• What improvements has IoT brought to Siemens Bad Neustadt? (12:06)

What You Will Learn:

• Why companies shouldn’t wait to implement IoT solutions (3:15)
• The benefits of connectivity (4:50)
• One common mistake companies make in managing cloud-based solutions (8:01)
• Impressive results from using the digital twin (13:20)
• How MindSphere®, the industrial IoT as a service solution from Siemens, is being used to optimize processes (16:29)

Resources:

Links to previous episodes 

Connect with Heiko Dickas:

LinkedIn

Connect with Sebastian Oeder:

LinkedIn

Connect with Colm Gavin:

LinkedIn

Connect with Matthias Lutz:

LinkedIn

Connect with Jörg Ludwig:

LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

Understanding the benefits to production capacity and the reduction of energy consumption is a good start. Taking small steps along the road like incrementally increasing machine connectivity serves as a motivating and daily reminder of the benefits business can leverage to their advantage. Within the collection of so much data lies limitless potential.

In today’s episode, Jörg Ludwig continues the conversation with Heiko Dickas, team leader of the digitalization team, and Sebastian Oeder, the head of the production unit main motors, both from Siemens Bad Neustadt, an electric motor factory in Bad Neustadt an der Saale, Germany. Also with us today are Portfolio Development Manager, Colm Gavin, and Head of PreSales and Solution Design, Matthias Lutz.

Today’s discussion centers around how the industrial IoT can help companies with today’s complex challenges within manufacturing. You’ll hear why getting started is less about fancy analytics and more about machine connectivity, and how we can ensure customers that their data is not only safe, but remains confidential.

Some Questions Asked:

• Where should companies start with digitalization? (2:22)
• What are the differences between an edge implementation and doing so on the cloud? (6:10)
• How has industrial IoT improved your factory? (13:38)

What You Will Learn:

• A common misconception about implementing digitalization (3:47)
• The surprising amount of data that you could be collecting (7:37)
• What customers really mean when they talk about security (10:00)

Resources:

Survey: Foundation, Eclipse. “The Eclipse Foundation Releases IoT Commercial Adoption Survey Results.” The Eclipse Foundation, www.eclipse.org/org/press-release/20200310-iot-commercial-adoption-survey-2019.php. 

Article: “Digital Transformation at Scale for Industrial Products.” IBM, www.ibm.com/thought-leadership/institute-business-value/report/transformation-industrial-products. 

Connect with Heiko Dickas:

LinkedIn

Connect with Sebastian Oeder:

LinkedIn

Connect with Colm Gavin:

LinkedIn

Connect with Matthias Lutz:

LinkedIn

Connect with Jörg Ludwig:

LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

There’s also the issue of an aging workforce and impending retirement of knowledgeable, dedicated employees. We’re expecting a mass exodus of machine workers in the coming years, and with that exodus, knowledge walks out the door with it. However, IoT technology has the potential to close the information gap. Digital collaboration could be the answer manufacturing has been waiting for.

In today’s episode, Jörg Ludwig is joined again by Heiko Dickas, team leader of the digitalization team, and Sebastian Oeder, the head of the production unit main motors, both from Siemens Bad Neustadt, an electric motor factory in Bad Neustadt an der Saale, Germany. Also returning are Portfolio Development Manager, Colm Gavin, and Head of PreSales and Solution Design, Matthias Lutz.

They’ll continue discussing the trends hammering productivity in manufacturing now, and before the COVID pandemic arrived, adding additional complexities to the way we work. They’ll talk about the growing competition among low-cost manufacturers, the impending issue of worker shortage that’s certainly high on the minds of companies as a generation enters retirement, and how IoT might be able to help preserve a lot of that potentially lost knowledge when the time comes to welcome the next generation into the workforce. 

__

Some Questions Asked:

• Are hyperautomation and other technologies the key against the low-cost competition? (1:37)
• Is there a sector with high competition of low-cost providers? (4:22)
• How are companies expecting to fill the employee and skill shortage? (6:22)
• What has been a hurdle to adopting a new factory workflow? (10:52)

What You Will Learn:

• The differentiators for machine builders against low-cost manufacturers (2:11)
• How IoT helps machine builders get closer to customers (3:37)
• How IoT can help companies retain tribal knowledge (7:35)
• Digital use cases for the next generation (9:39)

Connect with Heiko Dickas:

LinkedIn

Connect with Sebastian Oeder:

LinkedIn

Connect with Colm Gavin:

LinkedIn

Connect with Matthias Lutz:

LinkedIn

Connect with Jörg Ludwig:

LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

This means learning how to connect machines to collect and structure data, learning how to use data effectively, and finding ways to offer IoT services that bring value and higher margins of profitability to customers. As companies continue to find new ways to structure their next-generation business models, smart machines and hyperautomation are helping to pave the way.

In the first episode of the series, Jörg Ludwig welcomes two guests from Siemens Bad Neustadt, an electric motor factory in Bad Neustadt an der Saale, Germany. Heiko Dickas is the team leader of the digitalization team, and Sebastian Oeder is the head of the production unit main motors. We’ll also hear from Portfolio Development Manager, Colm Gavin, and Head of PreSales and Solution Design, Matthias Lutz.

In today’s episode, we’ll talk about how companies can leverage digitalization in order to overcome potential manufacturing disruptions. We’ll also run through some of the greatest challenges that the manufacturing industry faces in normal times, forces that cause them to escalate, and how businesses can come back stronger after disruptions. 

Some Questions Asked:

• What have been the biggest challenges on this journey? (2:35)
• Can these challenges be generalized to industrial machinery? (5:12)
• How are industrial IoT customers shaping the industry? (7:46)
• Has there been a significant implementation of these new industrial IoT business models in recent years? (9:20)
• What is hyperautomation? (11:27)

What You Will Learn:

• Why permission to fail helps us learn (4:04)
• What customers are saying about IoT (8:21)
• An OEM customer use case (9:56)
• What a smart factory does differently (12:09)
• How hyperautomation spurred growth (16:18)

Connect with Heiko Dickas:

LinkedIn

Connect with Sebastian Oeder:

LinkedIn

Connect with Colm Gavin:

LinkedIn

Connect with Matthias Lutz:

LinkedIn

Connect with Jörg Ludwig:

LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

In the first three podcasts, we talked about the evolution of technology within the machinery industry, key trends that continue to shape the industry today, and we have also introduced the Advanced Machine Engineering solution at a high level by describing two of the three key differentiators: multi-disciplinary design and virtual machine simulations & commissioning.

Today, in our final podcast of the series, Bill and I are discussing the third key differentiator of the Advanced Machine Engineering solution – multi-disciplinary Bill of Material and configuration management.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through the application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy.

So, listen to Episode 4 of the Siemens Podcast on Advanced Machine Engineering, to learn how to leverage your proprietary data to create a digital thread approach to engineering and also create a competitive advantage.

Questions I ask:

• What is a managed environment and why should it be important to the machine builders and their suppliers? (02:15)
• Is complexity the only challenge around this topic of data management, or are there other areas that we need to be concerned with, as well? (07:31)
• How can Advanced Machine Engineering solution help solve these challenges? (10:25)
• Before we end this podcast, could you quickly summarize the main advantages of the Advanced Machine Engineering solution and why it should be considered by our listeners? (14:58)

In this episode, you will learn:

• The Configure to Order approach. (03:48)
• The Engineer to Order approach. (04:46)
• The importance of having a Bill of Material that represents the entire machine. (05:57)

Connect with Bill:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

Today, our expert in the series, Bill, focuses the discussion around virtual machine simulation and commissioning and how machine manufacturers are implementing this approach to improve the quality and reduce delivery time for highly complex machines.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through the application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy.

So, listen to Episode 3 of the Siemens Podcast on Advanced Machine Engineering, where we talk about the importance of adopting and integrating virtual machine simulation and commissioning into the manufacturing process.

Questions I ask:

• What is virtual machine simulation and commissioning? (01:51)
• What are the simulation approaches that are being leveraged to address the challenges? (08:01)
• What are some of the benefits for the manufacturers that incorporate this virtual machine simulation and commissioning approach and integrate it into their manufacturing process? (16:16)

In this episode, you will learn:

• The challenges that machine builders are currently facing. (03:21)
• The advantages of simulating the machine’s performance in a virtual world. (13:53)

Connect with Bill:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.

Today, in our second podcast of this series, we are discussing the first key differentiator and we are learning how machine manufacturers are leveraging multi-disciplinary design to make their manufacturing more efficient.

Bill Davis is the Director of Industrial Machinery & Heavy Equipment Solutions at Siemens Digital Industries Software, working to help industrial machinery customers and heavy equipment customers improve innovation and profitability through the application of the Siemens portfolio. His background is in automation, converting, and packaging machinery. His 30 years of experience in engineering and management positions have shaped how he helps their customers and their go-to-market strategy.

So, listen to the second part of the Siemens Podcast on Advanced Machine Engineering, where we discuss the significance of multi-disciplinary collaboration for machine builders and we also expand on the benefits of implementing this approach.

Questions I ask:

• What exactly is multi-disciplinary design? (01:55)
• How would you respond to someone who might minimize the value that you just described for multi-disciplinary collaboration? (04:28)
• Do you have any examples for any companies that have embraced Advanced Machine Engineering as a strategy and if so, what kind of results they might have seen? (14:08)

In this episode, you will learn:

• The meaning of the Mechatronics Concept Designer. (06:59)
• The dangers of having too much integration too quickly. (08:01)
• The benefits for those who are incorporating a multi-disciplinary collaboration into their manufacturing process. (10:47)

Connect with Bill:

• LinkedIn

Hosted on Acast. See acast.com/privacy for more information.