Risk-Proof Your Supply Chain -- Lily Thomas | Baker Hughes

The commitment to environmental sustainability is rippling through the manufacturing world, from lifecycle management initiatives, to promises on behalf of executives to reduce the carbon footprint of their products. But it takes smart tools to give manufacturers the kind of data they need to evaluate real trade-offs between cost, carbon and design functionality. That's why PTC and aPriori have partnered together to deliver sustainability insights directly to design engineers, cost engineers, and sourcing professionals right within the software they're already using every day, such as PTC Creo and other 3D CAD products.

Catherine Knicker guides PTC Strategy as the Chief Officer of Strategy and Marketing. We spoke at aPriori's recent Manufacturing Insights Conference, where Catherine Knicker explained how PTC helps industrial and manufacturing companies incorporate sustainability throughout their entire product lifecycle, from design and manufacturing to service and end of life. We spoke about the skills and data that front-end designers need to really make a measurable impact on environmental goals. And she talked about how successful companies are empowering their decision-makers with the data and the tools they need to make the best real-time decisions for their business and for the planet.

Digitization makes it possible to analyze carbon footprint across the supply chain. So why are only 50% of manufacturers ready with a digital thread?

The COVID-19 pandemic brought into focus the need for digital tools to manage supply chains, preferably tools with intelligent analytics capabilities that look out for cost savings and manage risk in a shifting procurement landscape. Digitization was already near universal in some industries such as retail, but for physical commodities such as non-ferrous metals, oil, and gas, the adoption of the digital thread for the supply chain is still less than 50%. What does it take for these industries to move away from traditional paper and spreadsheet methods and what's the upside when they do so?

Andrea Aranguren is the CEO of MineHub. On this podcast, Andrea Aranguren makes the argument that digitization of the supply chain is not only good for inventory management and productivity, it opens the door for sustainability assessments that help companies reach their net carbon targets and reduce emissions throughout their supply chains.

The market demands for product development today mean that the product design process must include steps for ensuring design for manufacturing DFM, as well as design for assembly DFA, which are both rolled into one term DFMA, or design for manufacturer and assembly. A modern DFMA program might include steps to analyze the assembly costs, analyze the ease of assembly, assembly time, and the associated manufacturing costs of each manufacturing process. When you add in optimization for your particular supply chain, and then layer on top of that your sustainability goals, that's a hefty calculation to perform before a prototype even hits the factory floor.

This is why finding a digital solution for DFMA holds such a huge potential for cost savings and the real time productivity gains that ensure you hit your time to market goals. Today we're looking at a live case study of how one company simplified their design for manufacturing and assembly methodology through a digital twin solution.

Geopolitical strategist and bestselling author Peter Zeihan brings a unique perspective on how geopolitical risks are re-shaping the world economy, and what that means for global manufacturing.

In this interview we discuss:

The long-term labor crisis, and whether reshoring will help manufacturers solve the labor problem.

3 reasons to bring manufacturing to the United States.

And why the end of the world is just the beginning for manufacturing

Continuous improvements come from linking design, cost engineering, and procurement in one insights platform.

In this podcast, Vincent Bigot, the Director of Design to Cost at Alstom, explains Alstom's dynamic strategy, which brings together the cost engineering team and the design engineering organization through shared data in aPriori. 

For companies to win with digital transformation, they must expand digital twins to include digital process twins and digital factory twins. aPriori's CEO offers a case study in success with digital twinning.

Artificial Intelligence can’t be used for profit until your core manufacturing processes are digitized and made available to deep learning.

The rise of AI-driven modeling tools has some people in manufacturing scrambling to understand the impact of artificial intelligence and wondering how the product design process will change as a result.

Over the past year we have seen in real-time user-friendly AI tools such as ChatGPT from OpenAI and AI image generation from midjourney disrupt the markets for graphic design, web design, and social media content creation. Is product design and manufacturing prototyping the next in line for AI-powered disruption?

Today I'm excited to talk to one of the early founders of AI technology, CEO of Fire&Spark, Dale Bertrand. Dale was a pioneer in Artificial Intelligence research at Brown University where he also trained as an electrical engineer. His experience using AI to solve engineering problems puts him into a unique position to understand how AI design tools for manufactured products might be changing the workflow for design engineers and even the scope of design projects in manufacturing today.

I wanted to get a sense from Dale Bertrand based on his experience both in the AI field and in the engineering field, whether the innovations we are seeing today in generative AI and machine learning have any real bearing on the way products will be designed and manufactured in the future. I started our conversation by listing some of the AI innovations I've seen transform the creative process in other industries, and asking whether these digital products have any bearing on the future of manufacturing.

The manufacturing world today is feeling the impact of new environmental regulations. There's CSRD, the corporate sustainability reporting Directive, and the CSDD corporate sustainability due diligence directive, which put manufacturers in the hot seat for reporting and planning their carbon output. Then there's the international sustainability standards boards, S1 and S2, which lay out guidelines for reporting resource consumption and emissions respectively, and then there's the Carbon border adjustment mechanism or CBAM, which will make companies pay attention to the environmental cost of material imports, which will soon add up to financial cost as well. For manufacturing companies scrambling to fulfill these new regulations, the first hurdle is finding the right data, you need benchmarks to calculate carbon energy use and other sustainability goals accurately, and where can you get that data? That's where LCA data providers come in.

What does a cost engineer do? What's the hardest part of the job for a cost engineer? And how can SaaS costing solutions help?