Advanced Machine Engineering: Leveraging the Multi-Disciplinary Design

Digital Transformation by Siemens Digital Industries

Digital Transformation by Siemens Digital Industries

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תוכן מסופק על ידי Siemens Digital Industries. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Siemens Digital Industries או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.player.fm/legal.

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MP3•בית הפרקים

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:

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

70 פרקים

#Tech #Podcasting Education #News #Tech News #Siemens Digital Industries #Manufacturing #Software #Industries #HowTo #Machinery #Productivity #Business #Siemens

Digital Transformation by Siemens Digital Industries

Advanced Machine Engineering: Leveraging the Multi-Disciplinary Design

Digital Transformation by Siemens Digital Industries

published לפני 4 שנים

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MP3•בית הפרקים

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:

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

70 פרקים

#Tech #Podcasting Education #News #Tech News #Siemens Digital Industries #Manufacturing #Software #Industries #HowTo #Machinery #Productivity #Business #Siemens

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לפני 4 years15:41

15:41

It is a daunting task to design, validate, and manage modern industrial machinery to address rapidly increasing automation complexity and mass customization requirements while increasing market share and unlocking new business opportunities. 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) Connect with Bill: LinkedIn Hosted on Acast. See acast.com/privacy for more information.…

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