In this time of uncertainty and new technologies, is it time to re-evaluate how we explore and fine-tune our supply chain forecasts, schedules, and plans? For decades, optimization and what-if planning have been in place in manufacturing supply chains. We’ll discuss new possible approaches and what we have seen working. Are traditional algorithmic and simulation…
- Are traditional algorithmic and simulation approaches to optimization still working with the current volatility and uncertainty?
- Have you used digital twins for your supply chain? How is that working?
- Are you optimizing at all levels: strategic, tactical, and operational? Are some more effective than others? Are there barriers?
- Are machine learning and related advanced analytics helping with optimization?
- Do you see a role for Generative AI or other new approaches?
- Beyond technologies, are there new processes, and mindsets needed for optimization and scenario planning?
Making plant floor software more straightforward to use, rollout, maintain, and sustain is a worthy endeavor. The fourth annual release of the GE Digital Proficy portfolio as an integrated release was packed! Updates range from expanding industry fit to architecture for enterprise rollout, cloud everywhere, composability, consistency for connected workers, sustainability functionality, and pre-built analytics for common needs.
Jim Brown and Julie Fraser had a chance to catch up with the GE Digital product management team for a preview of the Proficy 2024 unified launch. Unified is a relatively new capability for Proficy, with cloud or hybrid hosting, a common user experience (UX), and common administration. That’s rare, since this suite includes not only comprehensive MES and plant applications, but also historian, automation software and Sustainability software.
Some of the highlights are:
Coherent, flexible architecture: Historian and MES are entirely rewritten to be containerized on the same unified namespace (UNS). Other components of this model are a data model, support for a range of databusses including MQTT, OPS-UA and more, and a directory service. We see this as a solid approach for the software to stay useful at enterprise scale over the long term.
Connected worker consistency: IT are not the only ones with new capabilities. Operations Hub supports operators, supervisors, technicians, and other connected workers. It lets the customers compose applications as they wish behind a single UI. Applications from HMI, dashboards, engineering analytics, and MES all use containers and Operations Hub to appear in a consistent way. It aims to work even beyond the Proficy suite.
Enterprise scale: Cloud, on-prem, or hybrid hosting is working into most of this suite. Customers can now pipe data into data lakes and an array of analytics tools. The file storage approach means sending even millions of data points per second from OT tags across multiple plants is possible. Configuration Hub is central to the ability of a center of expertise (CoE) to manage all of these applications seamlessly. GE reports that one automotive customer is automatically building tag databases for their many plants retooling for EV production, and it’s taking only weeks to build HMI/SCADA databases. Licensing by tags also enables customer flexibility to deploy as needed.
Expanded discrete industry support: GE Digital is working with GE Aviation to support complex low-volume discrete industries such as A&D (Proficy has long had a strong base in automotive). This industry has only a few successful MES who offer what they need in engineering change and dispatching, so this market entry is welcome.
Expanded analytics: More of the applications now have embedded issue-specific analytics already included. The suite also offers customers the ability to build their own analytics models. Sustainability is one such area, based on Vernova’s focus. PID loop health is another. Alarm management in the automation suite has been upgraded to reduce distribution during alarm floors, and new capabilities for troubleshooting alarms are included also.
All of these new capabilities are in a coherent yet open suite of products. Customers can benefit across OT, IT, sustainability, and plant operations. We see how this would put GE Digital in a strong position as the spin-off of GE Vernova approaches.
Thank you, Steve Pavlovsky, Prasad Pai, Joe Gerstl, and Ben Whiteman, for an excellent overview of the new possibilities in Proficy. Thanks, Carter Conway and Spenser Murray, for setting up the briefing for us. We will look forward to more news as Proficy continues to leverage technology advances and meet market shifts.
For related content, read our previous insights on how GE Aims to Operationalize Sustainability and how they plan to Enhance MES for TCO and Flexibility.
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Denodo Data Virtualization Capabilities[/caption]
Julie Fraser and I were introduced to Denodo through a connection made in the Manufacturing Enterprise Solutions Association (MESA) International Smart Manufacturing Community. Denodo is a large, fast-growing data management company with capabilities supporting enterprise data fabric and data integration. We spent some time with the Denodo team, learning about their solution for data virtualization to create “integration without integration.”
Denodo helps companies create a single view of distributed data to drive analytics. As one would expect, the offering provides data integration, management, quality, and governance. But Denodo’s solution does not aggregate and replicate large volumes of data, instead creating a form of data mesh by sourcing and storing metadata while leaving data in place, but accessible. They then use the metadata to create a data catalog that allows self-service data discovery and data preparation on a logical abstraction of a variety of data stores. Although Denodo takes a “logical first” approach, leading with virtualization, they can also support ETL, ESBs, or APIs with over 200 adapters for complete data management and delivery.
Our research shows that manufacturers typically invest significant time and effort in creating and maintaining integrated data to drive decisions and support AI. In particular, they struggle to put IT and OT data in context. Denodo’s abstraction layer and services could play a significant role in simplifying this and deliver significant benefits.
[caption id="attachment_19829" align="aligncenter" width="824"]
Denodo Platform Functionality[/caption]
The real value comes by putting the data into action. Denodo provides connectivity to data analysis tools like Tableau or PowerBI to turn that data into actionable insights. In this way, their data virtualization approach can help create intelligence from fragmented and proliferated data in real time without waiting for traditional extract, transformation, and load (ETL) processes.
We’ve seen some case studies and we’re impressed, but we also have more to learn. We believe that Denodo can offer significant value to support manufacturing and supply chain analytics and AI with their data fabric approach. Thank you, Dave Nixon, for making the connection, and Saptarshi Sengupta and Deborah Wiltshire for introducing us to Denodo’s capabilities. We look forward to continuing our learning and watching their progress in manufacturing industries.
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I caught up with an old friend who has an exciting new role as Executive Board Member and Co-Owner of PDTec, a company that I am excited to get to know better. The company offers a series of composable apps based on their data management platform, ice. NET. I love their tagline “innovation through integration” and their focus spanning data, process, and systems integration. Their solutions, based on a scalable component architecture, are designed to help engineers be more effective and efficient in product development, including:
- Simulation and systems engineering data management - SimData Manager
- PDM / PLM - CAD Portal
- Data exchange for tasks like supplier integration and collaboration - PDMconnect
In addition to these preconfigured standard offerings, PDTec can leverage their component-based platform to develop unique solutions on a consultative basis driven by their deep industry expertise.
PDTec is not a flashy software company, instead focusing on serving their customers who include majorlinke complex, discrete manufacturers with significant adoption in the automotive industry. In fact, they publicly list many German automotive OEMs as their customers, including Porsche AG, AUDI AG, Volkswagen, Mercedes-Benz AG, and Daimler Truck. Their customers also include tier 1 automotive suppliers such as Brose Group, Japanese automotive OEMs Mitsubishi Corporation and Nissan Motor Corporation.
PDTec is a company I look forward to learning more about. Thank you Michael Murgai for the overview.
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Tech-Clarity Analysts Jim Brown and Michelle Boucher at Autodesk University[/caption]
2023 is in the rearview mirror and I’m reflecting on a few things that Michelle Boucher and I learned and what they mean for our industry. Here are some takeaways from Autodesk University 2023, including AI and PLM strategy updates, that will have a big impact on the industry. This is only a small portion of what we learned from multiple presentations and conversations, it’s always hard to decide what to report on from these large conferences!
Artificial Intelligence
Not surprisingly, one of the biggest takeaways from AU2023 was related to the increased attention being placed on artificial intelligence (AI). AI was a central conference theme and it’s clear that Autodesk believes in its potential. Autodesk CEO Andrew Anagnost dedicated a portion of his keynote highlighting the ability for AI to change the way people work. Although a lot of the attention in the market today is about generative AI, thanks to the increased attention created by ChatGPT, Andrew also pointed out how AI can automate away non-value-added (NVA) work. A tangible example of automating repetitive, NVA tasks with AI is creating drawings and documentation with Fusion automated drawings. Autodesk shared other examples across the industries they serve.
It's important to point out that Autodesk is not new to AI. We’ve been in conversations with Autodesk about AI for a long time. Autodesk was one of the first large engineering software vendors to focus heavily in generative design and has been at it for some time. They are continuing their investment in generative AI to augment human innovation, for example they announced an acquisition of Blank.AI to rapidly develop design concepts for the automotive industry.
Autodesk has invested a lot of brainpower into how AI can make a difference for their customers. They’ve also invested a lot of expensive computing power to develop AI models from the vast amount of data they have access to. They have learned a lot and we expect to see continued AI capabilities rolled out at all levels of Autodesk products. To support this, Autodesk announced Autodesk AI to provide intelligent assistance and generative capabilities across their software portfolio as a part of the Autodesk Platform.
Autodesk VP Vikram Dutt further shared their vision for AI, “The cloud has connected our customers’ data, and it's enabling AI to unlock new ways of working. We really believe we're on the cusp of a new era, one where AI will fundamentally change the way our customers do business, unleashing both their agility as well as creativity. And we believe our customers really need an entirely new way of working.” It’s a bold objective that offers significant potential. We’re keeping our eyes on the progress.
Design & Manufacturing - PLM
We were also excited to get an update on the solutions for the manufacturing industries. Given that one of the biggest challenges with AI initiatives is having trusted, organized data we’ll start with data management. We were excited to see Autodesk integrate a “PLM Summit” into AU. The summit was a dedicated track for PLM customers to learn how to get business value from PLM. It was a well-organized, well-attended, collaborative event that primarily focused on Fusion 360 Manage and allowed users to openly share tips and techniques and what they’ve accomplished with the system. [caption id="attachment_19629" align="aligncenter" width="935"]
Autodesk University PLM Summit[/caption]
Fusion 360 Manage is a flexible, workflow-oriented system. Fusion 360 Manage complements Autodesk’s extended PDM solution, Vault. They also offer their still relatively newly acquired Upchain solution that supports what they described as “fully cloud PDM with some PLM capabilities,” which is well suited for design-centric, multi-CAD environments.
Although there is some overlap in the offerings, Autodesk is investing in integrating all of these solutions with Fusion, their industry cloud for manufacturing. In a presentation on Autodesk Fusion Data Management, Jeremy Lambert explained that their goal is a single, unified industry cloud with capabilities from Prodsmart, Fusion 360 Manage, Fusion 360, Vault, and Upchain.
[caption id="attachment_19628" align="aligncenter" width="961"]
Autodesk Fusion Data Management[/caption]
Fusion is clearly Autodesk’s long-term strategy for the manufacturing industry. Fusion is a pure platform built from the ground up and goes well beyond PLM. As described by VP Cloud Data and PLM Derrek Cooper, Fusion is CAD, CAM, PLM, and MES data in a graph database, decoupled from logic, run through APIs. It leverages a common data model across applications, which is the target for integrating Autodesk’s PDM and PLM offerings.
Design & Manufacturing - General
As the vision for Fusion shows, Autodesk design and manufacturing goes beyond PLM. AU gave us the opportunity to hear from EVP Design & Manufacturing Jeff Kinder and others about how they support the industry. Jeff shared a number of updates and customer stories, including how Rivian uses Fusion to develop more / faster prototypes, create real-time rendering, ensure design and manufacturability, and manufacture using CAM / CNC to machine prototype parts. Rivian spoke as well, explaining how Fusion enables them to work on a common data model to understand if a design is manufacturable, and if not change it in the design tab and move back to the manufacturing tab. They also shared how they leverage VR / AR to eliminate early physical models using VRED. This is a great example of how Fusion is intended to work across functions. In fact, Rivian shared how Autodesk can help a manufacturer with everything from AEC for the plant to line planning and factory layout, all in the same data model. As Jeff Hammoud, Rivian Chief Design Officer, shares, Fusion provides “seamless data sharing across the organization.” This helps them rethink not just their product, but their manufacturing processes. There is so much more to share, including a new partnership with Cadence and well-received enhancements to existing products like Vault with numerous user-driven enhancements and Inventor adding IFC in Inventor for industrialized construction and sheet metal tools. There isn’t room to share it all.Design & Manufacturing – Supporting The Factory
One last area I want to focus on is the factory. Autodesk is the “design and make” company. Their strategy goes beyond engineering to the plant. They’ve extended their factory planning and manufacturing portfolio by partnering with CloudNC for AI toolpaths and acquiring a factory simulation solution to extend their ability to help manufacturing engineers understand factory flow and bottlenecks. Beyond that, it will be very interesting to see what they do with Prodsmart and how they evolve to support plant operations. I asked Steve Hooper, VP Product Development, about future for manufacturing planning and execution. He mentioned that they already have capabilities for manufacturing engineers / process planners, from the plant / facility design, 1D planning, factory design, CAM, and CNC. He explained that he does see going deeper to support others who are left out of factory technology and need a digital thread solution that extends to lines, workcells, and workers. We’ll be watching this space. [caption id="attachment_19625" align="aligncenter" width="889"]
AU Design & Manufacturing Executive Panel[/caption]
Architecture, Engineering, Design, and Construction (AEC)
We also heard from Amy Bunszel, EVP of AEC Design and Jim Lynch Senior VP, GM of Autodesk Construction Solutions. In a similar way to manufacturing, supporting AEC is all about the data. Autodesk continues to invest in BIM, with industry-leading Revit solution moving to Forma, their industry cloud for AEC. As Amy explains, “Forma is AI-powered design.” Autodesk shared some great examples of using AI in AEC to test different concepts, showing the impact of designs on sunlight, noise, and solar array positioning, and shared that these kinds of capabilities will eventually cover the entire BIM process. [caption id="attachment_19620" align="aligncenter" width="957"]
Autodesk University AEC Panel[/caption]
Autodesk has a leading position in AEC and there is much more to share, but I’m going to limit my commentary to one more exciting update related to the the intersection of D&M and AEC, industrialized construction. There was a very interesting presentation and exhibit from Factory OS sharing how they use Forma for sustainable modular construction, working collaboratively in the cloud , around a common language and drawings. The parallels with Fusion are noticeable, and both supported by Autodesk Platform.
Autodesk Platform Services
Sitting behind the industry solutions for manufacturing, AEC, and media & entertainment is the Autodesk Platform. As announced at AU last year, The Forge platform is now Autodesk Platform Services (APS). APS is a significant investment in the future, shared across all industries. They’ve taken a data-centric approach with a granular data model, interoperable apps, and APIs on the cloud. Autodesk took this approach early and started from the ground up with the fundamentals. Autodesk shared some updates including continued investment in APIs and Autodesk Docs, offering cloud document management and a common data environment (CDE). Autodesk is extending what is already one of the most advanced platform strategies. Again, this is a space to watch as the Autodesk Platform continues to mature and offer comparable capabilities on a cloud platform.Summary
There is a lot that I’ve left out, but I hope this gives you an idea of what we took away from the event. Thank you to Jason Love, Christa Prokos, and the entire Autodesk University team for coordinating our AU2023 experience and putting together such great learning opportunities. [post_title] => Reflections on AI, PLM, and more from Autodesk University [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => autodesk-ai [to_ping] => [pinged] => [post_modified] => 2024-01-30 12:22:56 [post_modified_gmt] => 2024-01-30 17:22:56 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19614 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [5] => WP_Post Object ( [ID] => 19638 [post_author] => 2574 [post_date] => 2024-01-16 09:00:39 [post_date_gmt] => 2024-01-16 14:00:39 [post_content] =>
What is holding companies back from Industry 4.0 project and initiative success? A few things: integration for data flows, speed to deploy software consistently to multiple sites for scalability, disconnects between corporate IT mandates and in-the-plant needs, and projects that don’t fit the budget of smaller plants and companies. Recently, Jim Brown and Julie Fraser learned how IndustryApps aims to alleviate those issues and democratize access to best-in-class Industry 4.0 approaches.
How? By building an industrial dataspace using industry standards, and inviting software application providers to use this platform to expand their reach and speed time-to-value for their projects. Manufacturers subscribe to the apps they need at any time. The OpEx approach lowers the barrier to entry and the cloud-based hosting speeds implementation.
Aiming to Democratize Industry 4.0
IndustryApps’ stated mission is to make Industry 4.0 simple for all industrial businesses. They envision their single platform as a foundation for digital transformation. The platform is based on digital twin standards. With this platform, manufacturers can create digital twins for machines and products. The platform is a secured, private application enablement environment. Beyond the platform, the AppStore of proven solutions across the broad array of functional needs creates new opportunities for manufacturers of all sizes and industries.Ecosystem
Creating an ecosystem for other software companies has the potential to accelerate growth for IndustryApps – and rapidly expand value for manufacturers who use it. There are already 80 solution providers with software in the AppStore. All of these applications use the standard data exchange approach IndustryApps has built into its platform. Solution providers are interested in participating for several reasons. They get a new channel to market, covering geographies or industries that are hard for them to reach, that provides first-line support. Participating is a driver to adopt the many industry standards at the core of the IndustryApps Platform. These include RAMI 4.0, Asset Administration Shell (AAS) Consortium, ISO/ECLASS for semantics, Open Industry 4.0 Alliance architectures, GAIA-X distributed sovereign data rules, and ISA 95. Many software companies are already adopting these standards to provide customers with more flexibility and better integration. Although it takes a strong commitment from vendors, adopting standards is a path to more complete digital threads and industrial dataspaces.Industry Origins
The founders began to develop this platform approach while working at Henkel. When Sandeep Sreekumar’s scope expanded to 140 plants, he realized he needed a way to scale and roll out rapidly, plus allow flexible deployment at sites. Developing a platform enabled the bottom-up approach to digitalizing factories. Some of these Henkel factories became lighthouses in the World Economic Forum Industry 4.0 program. Extend Manufacturers continually seek to extend their company's capabilities by leveraging software. New applications from solution providers make up one aspect of the extensibility of IndustryApps. Now, the platform is open for manufacturers to onboard their internally-developed solutions. Manufacturers can subscribe to new apps for a monthly fee and get up and going with minimal training or delay. The connectivity is provided or open to using their own data connectivity layer.Cybersecurity
Another crucial aspect of Industry 4.0 software is cybersecurity and data protection. With manufacturers increasingly being a target for cyberattacks, this is crucial. Also, when the data may need to flow among multiple companies or departments, the ability to dictate and update access control for each person is vital. Further, the manufacturers always own their own data on the IndustryApps platform and ecosystem. Thank you, Sandeep Sreekumar, for spending time to update us on your vision and status. We look forward to following IndustryApps’ progress in the market. [post_title] => IndustryApps Industrial Dataspace and Ecosystem Aims to Democratize Industry 4.0 [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => industrial-dataspace [to_ping] => [pinged] => [post_modified] => 2024-01-26 13:56:31 [post_modified_gmt] => 2024-01-26 18:56:31 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19638 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [6] => WP_Post Object ( [ID] => 19484 [post_author] => 2 [post_date] => 2024-01-10 10:00:12 [post_date_gmt] => 2024-01-10 15:00:12 [post_content] =>Introduction
I had the opportunity to join two industry experts, Stephen Birtsas and Leo Moran of Kalypso, in an interactive panel discussion about the manufacturing digital twin. Our goal was to examine the business value of manufacturing digital twins in the consumer packaged goods (CPG) industry and review some tangible examples of successful implementations. There's a lot of confusion about digital twins in the market, including competing definitions and requirements. The panel cut through the hype and shared real-world experience about using digital twins in manufacturing to solve practical problems and unlock new value. I hope you find this summary informative.What is a Digital Twin Anyway?
We've all heard the term, maybe more than we wanted to. There's a lot of marketing hype, and the term "digital twin" itself has become a bit of a buzzword. Part of that is because people are trying to attach themselves to a valuable concept, even if they are just rebadging an existing capability to do so. Fortunately, we had the experts on the webinar to set the record straight on what it is and its real potential. I'll share some of their most insightful commentary here, but please watch the recorded panel discussion to get the complete picture, including how to get started. Stephen described the manufacturing digital twin as a visual representation, in silico, that simulates a production process. That process, he shares, could be anything from an entire facility to a line to a particular operation or cell. The representation allows engineers to evaluate production at a high level all the way down to the control logic that will control a manufacturing line and its equipment. He explains that doing this in a digital environment allows manufacturers to simulate production flow down to how PLC code impacts the physical world in a virtual simulation. Leo Moran further explained that digital twins are a discipline and capability they use to improve their clients' operations on their factory floors, warehouses, and distribution centers. They do this by determining the data needed to build a model and simulating equipment and operations to create analyses of an area to improve in the factory.What's the Value of a Digital Twin in CPG?
With the understanding of what a digital twin is, we turned to the obvious question of why they are valuable. We all agreed that the objective isn't to develop a model or digital twin, it's to solve a real business problem like optimizing plant efficiency. It's a strategic business capability, and our research shows that about two-thirds of manufacturers see the digital twin not just as a technology but as an important or critical capability to achieve their business strategy. Leo described the versatility and scope of the digital twin. He shared that Kalypso helps their clients across the lifecycle of a factory. It can start as they first design a factory to validate the design and ensure that it will meet requirements. Following that, it can go into a phase where they have to install and commission a great deal of complex equipment and then ultimately into operations to help optimize and manage production. He explained that there's a tremendous amount of time and cost savings available from simulation technology with the digital twin in all of these phases. Stephen shared a bit more detail, describing how clients look to solve real-world problems by applying a digital twin in one of those three areas:- In the design phase, to predict how a design would work, for example, doing a throughput or feasibility analysis, and adjust the design to deliver on requirements and create a very high level of confidence that the operation is going to work effectively
- In the commissioning phase, by virtually testing controls and systems integration to find bugs and optimize designs early to commission and get up to your target OEE rates much faster
- In the operations phase, for example, for troubleshooting and testing a hypothesis on a potential solution to quickly implement improvements
Learning from Real Case Studies
Stephen and Leo shared a number of projects they've completed with their clients. I'll provide a summary of the benefits here, but I encourage you to watch the webinar to learn more about how they achieve these significant benefits from the manufacturing digital twin.- Design
- A medical device company simulated factories to understand real production flow, identify where bottlenecks occur, rightsize their warehouses, and improve supply chain planning, allowing them to meet a huge increase in demand as they release new products
- A solar panel manufacturer used both simulation and emulation to identify and eliminate over 157 design flaws in their material handling process design, leading to a significant improvement in the overall capacity of the factory
- Commissioning
- A major CPG company built a digital twin for both design and emulation of all of their control systems, leading to incredible savings in commissioning time for new lines
- A global retailer simulated and virtually commissioned half a dozen automated storage and retrieval systems, delivering 30% savings in commissioning time and a massive reduction in downtime
- Operations
- A tire manufacturer built a more analytical model of tire splicing that enabled them to reduce downtime, resulting in an annual production increase of about half a million tires per year
- A beverage manufacturer developed a digital twin to simulate and replicate line stoppages and was able to test potential solutions ten times faster, solving the problem which resulted in a 52% downtime reduction and 14% improvement in OEE
Final Thoughts
The conversation confirmed that the manufacturing digital twin can drive a lot of business value. The case studies show that digital twins are more than hype, they're a path to improve how manufacturers design, commission, and operate their plants, lines, equipment, and processes. Thank you to Stephen, Leo, and host Hadley Bauer for including me in the discussion. To learn more about how Kalypso helps manufacturers gain tangible value from the digital twin, you can watch the webinar replay (no registration required) and find additional information about digital twins for consumer and retail companies on the Kalypso site. For related content, read the State of PLM in CPG find out what top performers are doing with their PLM systems. [post_title] => The Value of the Manufacturing Digital Twin in CPG [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => manufacturing-digital-twin-2 [to_ping] => [pinged] => [post_modified] => 2024-02-20 12:33:14 [post_modified_gmt] => 2024-02-20 17:33:14 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19484 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [7] => WP_Post Object ( [ID] => 19366 [post_author] => 2574 [post_date] => 2024-01-04 09:00:24 [post_date_gmt] => 2024-01-04 14:00:24 [post_content] =>
How can you get on the journey to a model-based enterprise? What are we learning that you can put into action today? Mark your calendars for January 17th at 11AM PT/2PM ET to join us for an engaging webinar covering topics such as:
- Why transform? What are the biggest benefits as a manufacturer moves toward MBE? (For example, traceability, agility, time to market, quality, efficiency, new customer requirements, etc.)
- What do aerospace and complex manufacturers need to do now to prepare and embark on the MBE journey?
- Given that program cycles are long, how do we learn and iterate to advance MBE practices within just a few years?
- What software advances are needed in both PLM and MES to enable better PMI and model-based process planning?
- What is metadata, and what is its role in model-based design (MBD)?
- What are solution providers doing to support model-based manufacturing and get usable PMI from engineering to manufacturing?
- What have we already learned about what has worked and has not?
- Ron Squires, who leads Digital Transformation for the Strategic Space Systems Division of Northrop Grumman Space Systems
- Jeff Gleeson, an independent consultant and digital manufacturing leader with decades of experience at Lockheed Martin as both a practitioner and an innovator of production operations business processes and supporting technologies
- Michel Gadbois, Senior Vice President and Chief Enterprise Architect at iBase-t
- Julie Fraser, VP of Research for Operations and Manufacturing at Tech-Clarity and long-time industry analyst, will join and moderate.
Semiconductor makers must evolve and innovate, so how can MES keep delivering value? Specialty chips can be great niches, but they don’t necessarily improve linearly or predictably. So, semiconductor companies must become more effective innovators rather than only seeking stability or increased product processing speed. Changing products, processes, and customers can boost win rates. No matter what, research and development (R&D) is a crucial foundation for business success.
Yet historically, innovation, changes, and R&D created significant challenges for legacy MES. As a result, these older systems have lost value over time. Semiconductor companies need MES that is reliable and flexible to keep up with innovation and evolving business and production processes.
Meeting new applications that build on the company’s current capabilities is a winning strategy. Specialty chips often work where virtual meets real. The intersection of virtual and real is also where MES models and capabilities meet actual fabrication, assembly, and test of chips.
In the face of constant innovation, the MES must be able to process multiple experiments at the same time as standard runs. The MES should be able to support fabs in running experimental lots with little to no disruption to commercial production. The MES ideally fully records and reports all the runs, small, large, or one-off experiments.
For reliability at the same time as flexibility, it’s ideal to have an MES that includes not only dispatching of special and commercial lots, but also maintenance, quality, materials, and more. The value comes from support for all aspects of change and innovation.
Fortunately, there are semiconductor MES available that have all of that and support greater agility with less manual effort than ever before. These modern systems enable semiconductor companies to set and meet their goals for evolving and innovating into new market opportunities. Choosing the right semiconductor MES to evolve and innovate is crucial.
Read this third in a blog series about semiconductor MES issues by Julie Fraser for a deeper look into what you might need and why. Thank you to Eyelit for supporting our efforts to educate the market to the business value of technology.
For related content, please read the previous senmconductor blog posts by Julie Fraser on Eyelit, including Redefining Semiconductor MES and the Semiconductor Risk Conundrum.
[post_title] => Ongoing Value from MES as a Semiconductor Company Evolves and Innovates
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[post_content] => [post_title] => The Semiconductor Risk Conundrum: MES Status Quo or Migration? [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => risk-conundrum [to_ping] => [pinged] => [post_modified] => 2023-12-19 16:34:19 [post_modified_gmt] => 2023-12-19 21:34:19 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19130 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [10] => WP_Post Object ( [ID] => 19119 [post_author] => 2 [post_date] => 2023-12-05 13:00:44 [post_date_gmt] => 2023-12-05 18:00:44 [post_content] => What’s new and interesting in the product portfolio management (PPM) market? I caught up with Bryan Seyforth’s new company, BrightFire, to find out. What I learned is that he’s planning to make PPM more accessible for smaller companies. This is early, but something to watch.
PPM Leader Starting Fresh
I was excited to catch up with Bryan Seyfarth after learning that he started a new company in the portfolio management space. I’ve known Bryan for years as an executive at Sopheon, that he helped become a leader in product portfolio management (PPM) solutions for consumer-oriented companies like food, beverage, and consumer packaged goods (CPG). BrightFire follows in the footsteps of other PPM solutions to help companies better capitalize on their product innovation portfolios to get the most out of their R&D and new product development (NPD) efforts.
Managing Portfolios from Innovation Through Execution
One of the things that struck me about Bryan’s vision for BrightFire is the comprehensive, yet right-sized scope. One of the key areas that many PPM solutions lack is the ability to put innovation decisions into action in the execution phase. As Bryan says, the goal is to support companies “from strategy, to prioritization, to execution.” To do this, Brightfire offers capabilities to help with:
- Strategy/platform governance
- Phase-gate governance
- Portfolio governance
- Resource planning
A lot has happened since I last wrote about Propel and their Product Value Management strategy. Several significant updates are their continued progress toward their vision, very successful Propulsion and Dreamforce conferences, and a carefully executed shift in executive leadership.
Delivering on PVM
Let’s start with vision. The goal of PVM, in a nutshell, is to better connect product development with product commercialization. It sounds obvious, and those from outside of the engineering software community would probably assume PLM (Product Lifecycle Management) would inherently create digital continuity across design and commercial people and processes. Instead, most PLM solutions don’t address go-to-market or incorporate the customer experience. Interestingly, perhaps, some are starting to focus on the service lifecycle of the product following commercialization, but that’s a different post. Propel is relatively unique in their focus on PVM to close the “Product Value Gap” between product and commercial teams.
Since our last post, Propel formally announced their PIM (Product Information Management) solution to complement their existing PLM and QMS (quality management) capabilities. They also released significant additional capabilities to support new product development and go-to-market. This is evidence of significant investment to achieve their PVM strategy and we expect to see more over time.
It's important to mention, though, that they’ve also continued to further their PLM capabilities, for example with recent enhancements to further support design collaboration and visualization and integration with Altium to support ECAD (electronic CAD) alongside mechanical designs and RenderDraw for converting CAD files to interactive 2D and 3D viewables. They’ve also extended their capabilities to better support design for supply to help manufacturers develop products that are better optimized for their supply chain with a SiliconExpert integration.
Leadership Change
Founder Ray Hein has paved the path to rethink how a software category supports an industry more than once, and proved his abilities again with Propel. He surrounded himself with a strong team and listened to his customers more than most CEOs I’ve met. He and the team continued to evolve their vision by learning from customer goals and experiences. They also leveraged their strong, inherent relationship with CRM and platform provider Salesforce to streamline and integrate across the digital thread from product inception to commercial offering. The result, their PVM strategy, is both valuable and differentiating.
Ray is stepping away from Propel’s day-to-day operations, but he’s leaving after a calculated and thoughtful transition. He passes control to Ross Meyercord, who has already been Propel CEO and worked on product planning and strategy for a year while Ray focused on the broader company vision as Chief Strategy Officer. Ray will retain a role on the Propel Board and continue to offer guidance. But Ross comes with strong experience in enterprise software for the manufacturing industry and appears to be taking the same customer-centric role that Ray did. He also inherited a strong team with great credentials. See the press release here.
We’re excited to see how Propel and their PVM vision continue to grow and create a continuous digital thread across the product lifecycle, as many would agree is the ultimate goal of PLM.
Thank you Ray Hein, Ross Meyercord, and Tom Shoemaker for continuing to keep us abreast of Propel’s progress.
Our related eBook teaches companies how to adapt people, processes, and technology to improve revenue and customer experiences by connecting the product digital thread. Watch the on-demand webinar with Jim Brown, Mark Boles (Propel), and Tom Shoemaker (Propel) to learn how to solve the product information disconnect, improve NPDI, and drive product profitability.
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[post_content] => How do you build a business case for PLM that puts business value first and recognizes the role that product lifecycle management (PLM) technology plays in achieving it? Watch the replay of our President of Digital Innovation Research, Jim Brown, and Trace One PLM expert, Jobi Varghese, to learn organizational and industry drivers that you can leverage to build a solid business case around the value of a single source of truth PLM platform for the CPG and retail industries.
Watch the webinar replay to:
- Learn how to build a data-backed business case for PLM implementation
- Uncover industry and organizational drivers that impact NPDI
- Understand projected ROI from implementing a PLM system
[post_title] => Building the Business Case for PLM
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[post_content] => Can a “dot-release” of SaaS software deliver even more value to the industry? If it expands the footprint, yes. The Apprentice press release announcing Tempo Manufacturing Cloud Version 7.2 appeared November 8, and quotes Tech-Clarity’s Julie Fraser.
This SaaS product aimed at biotech and pharmaceutical manufacturers includes MES, but is much more. Per the quote in the press release, “[Apprentice’s] Tempo suite is a fresh approach that marries the latest enterprise mobile and SaaS technologies with composable applications for pressing industry issues," said Fraser. "Yes, there’s a SaaS MES – but there is more for the plant, quality lab, enterprise, and manufacturing network. It serves the product lifecycle, starting with preclinical and clinical."
Apprentice has entered a crowded market for pharmaceutical-focused software with great success. The relationship between plant, quality, and enterprise is a foundation. Now the extension to trading partners such as CDMOs makes the solution even stronger. We have been researching the role of cloud-based applications in manufacturing, and reaching across siloes is one advantage.
We continue to watch the progress of the Apprentice Tempo Manufacturing Cloud. The vision of meeting the changes in the industry with a new type of software to support regulated operations clearly resonates. Thank you, Kristen Kucks and team for the opportunity to share our views in this Apprentice press release.
For related content, read an Insight from Julie Fraser's briefing with Apprentice back in June 2023 on Tempo.
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One of our most recent guides, Seven Keys to Improving Service with the IoT, focuses on helping manufacturers and service companies get the most out of machine monitoring. The guide offers seven considerations for companies to consider when they target service transformation.
As we published the guide, I wondered if writing about “how” to improve service and the system capabilities it requires is enough. Are most companies aware of “why” they should be doing it in the first place, and how it can positively impact their business? If so, why isn’t everyone doing it successfully now that barriers to implementing machine monitoring through the industrial IoT (IIoT) have dropped?
Share your thoughts on my guest blog post on the PTC blog (registration required).
For related content, read our buyer's guide, Seven Keys to Improving Service with the IoT, to learn practical steps for companies to improve service through IoT condition-based monitoring.
You can also hear Jim Brown share insights from this buyer's guide and share his thoughts about improving field service by leveraging the IoT in episode 20 of PTC’s Speaking of Service Podcast with PTC’s VP of Strategic Partnerships, Christine Wolff,
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The transition to electric vehicles (EVs) is fundamentally disrupting the automotive industry, forcing manufacturing engineering to digitally transform. Given this:
- How can automotive companies leverage digital manufacturing best practices to launch and scale EV programs faster?
- How can they set the stage for greater agility to drive innovation and improvements of all kinds into production?
Table of Contents
- The EV Revolution Demands Change
- Adopt Best Practices in Production Planning
- Digitally Transformation Manufacturing Planning
- Increase use of 3D Modeling
- Simulate, Validate, and Optimize Production
- Conclusions and Next Steps
- Acknowledgments
EVs are a Disruptive Force
Electrification is Disrupting the Transportation Industry Our data shows that risk and disruption increased for about two-thirds of automotive and transportation companies over the last five years, and for roughly one-third, it "significantly" increased.1 The electric vehicles (EV) transition is causing upheaval and is undoubtedly a big contributor to the problem. The impact is significant on both pure EV manufacturers and traditional internal combustion engine (ICE) driven vehicle producers combatting new entrants. Today's rapid pace of innovation has disrupted the status quo, resulting in the need for speed, innovation, and agility. Leading automotive companies are taking the opportunity to turn disruption to their advantage, creating a chance to innovate and differentiate themselves. Driving Change through Better Manufacturing Planning The EV-driven disruption demands digital transformation across the business. One area that can make a strategic difference is manufacturing engineering. Companies need to improve production planning to drive faster, more agile introduction of innovation in EV and ICE programs alike. And they have to do this despite increased complexity and without disrupting quality. Fortunately, the automotive industry is accustomed to change, and best practices already exist. Our research shows that top-performing automotive companies are more likely to leverage proven practices for manufacturing engineering, specifically 3D modeling, simulation, and collaboration. This eBook explores:- How can automotive companies leverage digital manufacturing best practices to launch and scale EV programs faster?
- How can they set the stage for greater agility to drive innovation and improvements of all kinds into production?

The EV Revolution Demands Change
Transformation is Mandatory The move toward electric vehicles is picking up pace. New entrants paved the way and created a market that demands alternative fuel source transportation. In many cases, these companies have innovated in manufacturing processes in addition to vehicle designs. Some changes have been necessary because of new processes like battery assembly and fundamental powertrain differences. But these companies have also pushed the limits on new materials and new production processes like additive manufacturing and Tesla's Giga Press. Don’t Forget Lessons Learned Some manufacturing methods have to be revised, reinvented, or invented in the first place to bring EVs to full-scale production effectively. However, traditional manufacturers have decades of experience and knowhow on effectively planning and launching vehicle programs at scale. Many of the basics still apply, and manufacturers shouldn't discount decades of learning. That knowledge must continue to be captured, reused, and continuously improved. At the same time, new materials and methods from EV programs can be evaluated for ICE production. Of course, it's important to remember that even "traditional" vehicle production needs to transform to accommodate increasingly software- and systems-oriented vehicles, shorter vehicle lifecycles, and greater vehicle personalization. [post_title] => Transforming Manufacturing Planning in the EV Era [post_excerpt] => [post_status] => publish [comment_status] => open [ping_status] => open [post_password] => [post_name] => electric-vehicles-ebook [to_ping] => [pinged] => [post_modified] => 2023-12-15 13:28:54 [post_modified_gmt] => 2023-12-15 18:28:54 [post_content_filtered] => [post_parent] => 0 [guid] => https://tech-clarity.com/?p=19037 [menu_order] => 0 [post_type] => post [post_mime_type] => [comment_count] => 0 [filter] => raw ) [16] => WP_Post Object ( [ID] => 19025 [post_author] => 2574 [post_date] => 2023-11-14 10:00:44 [post_date_gmt] => 2023-11-14 15:00:44 [post_content] => Might international standards for data exchange and interoperability between trading partners worldwide finally take hold? Could multi-enterprise manufacturing networks get cost-effective data flows in an open, vendor-agnostic network? That’s the intention of International Manufacturing-X Council (IM-X). Michelle Boucher and I had an opportunity to learn about this new consortium of 10 nations from CESMII (The US’ Smart Manufacturing Institute) CEO John Dyck. This is an urgent need. Our research shows that over two-thirds of manufacturers spend a lot of time, effort, and expertise to integrate and maintain integration between MES, quality, maintenance, scheduling, IoT, and machine or equipment data. From 2020 to 2023, this did not improve. And that’s just in the operations. Extending integration so data flows across the enterprise and supply chain compounds that challenge. CESMII has been advocating for the best interoperability standards in manufacturing enterprises and plants. The goal is to democratize digitalization by commoditizing (or turning open-source) aspects that are not proprietary. This new consortium takes work CESMII has been doing – and some it has done jointly with Germany’s Platform Industrie 4.0 – more global and into the supply chain. IM-X’s vision “is to enable open, global and cross-industry operation of cost-effective data networks. This will be realized through three sets of strategic initiatives:- Connect value chains and manufacturing data networks across supply chains, industries, and countries
- Implement global foundations for data-driven resilient, sovereign and climate-neutral production covering the full life cycle of production and products
- Enable innovative value creation in an interoperable and sovereign data ecosystem.”
- the USA (CESMII)
- Germany (Plattform Industrie 4.0)
- Austria (Plattform Industrie 4.0 Österreich)
- France (Alliance Industrie du Futur)
- Australia
- Canada (Offensive de Transformation Numérique)
- South Korea (KOSMO)
- Japan (RRI)
- Italy (Confindustria)
- the Netherlands (Smart Industry)
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What is missing in transforming into a model-based enterprise (MBE)? For one thing, continuity from engineering to shopfloor and back.
Gaining MBE continuity is a many-faceted challenge. There are people, process, and technology issues to transform.
In this on-demand webinar we explored those issues. It will get you thinking about how details of the digital model flow impact your business success. We also pointed out ways to start the MBE journey, even if continuity is not 100% in place.
Julie Fraser hosts a discussion of the issues that arise and how to get on the journey. Panelists Jonathan Scott of Razorleaf has deep PLM and product design engineering expertise, and Michel Gadbois of iBase-t is an expert in A&D manufacturing and operations. Each of them sees many customer challenges and will share some of what they see and the problems that a lack of continuity from engineering to shopfloor creates.
In this wide-ranging interactive discussion, we will touch on these questions:
- Where are the common breaks in the digital thread?
- What are some practical things companies can do to improve continuity?
- How can the comprehensive product models envisioned in MBE generate more value?
- Why do the UUID or CAD ID and instance identification matter so much?
Plans for the Future
Duro also plans to provide customers with the option to use Box, Google Drive, or Microsoft OneDrive to give customers the choice to use what best fits their business, and likely the one they are already using. They’ve implemented PDM One in a file-centric way that mimics folder structures that many smaller companies and startups already use to manage their files and lifecycle states.
Today, PDM One is what we would call design data management or basic product data management (PDM) and it offers a more comprehensive offering in combination with their product lifecycle management (PLM) solution. It will be interesting to watch how the solution evolves and how it is adopted by customers. It’s a clever approach that leverages a robust cloud data platform and extends it for simple data management. Duro has work to do to build integrations with CAD solutions and will likely extend the capabilities, but their initial offering will probably prove to be enough for many companies moving from an unmanaged or ad hoc environment. Duro is definitely a vendor that high tech companies should keep on their radar screen.
Thank You
Thank you James White and Aphrodite Brinsmead for bringing this to my attention and to Mike Prom for your time explaining the product and future strategy.
For related research, read the commentary from our December, 2022 briefing with Duro about their goal to deliver agile PLM for hardware manufacturers.
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Visibility and collaboration are crucial to supply chain success and resilience, but even getting that internally can be a challenge. Join as Julie Fraser facilitates a discussion in MESA’s Smart Manufacturing Community Smart Connected Supply Chain Group on November 29.
- What are manufacturers doing to see and work both within and beyond the supply chain discipline?
- Who most needs to contribute to and collaborate in the supply chain planning process for it to be effective in the face of constant change?
- What data and types of systems are you integrating as top priority?
- Is internal visibility and collaboration more or less important than with suppliers and customers? Where are the interdependencies?
- What role do digital twins play in supply chain visibility and collaboration?
- What are the keys to success in people, processes, and technology?
- Are you treating this a major transformation or ongoing adjustments?
In this time of uncertainty and new technologies, is it time to re-evaluate how we explore and fine-tune our supply chain forecasts, schedules, and plans? For decades, optimization and what-if planning have been in place in manufacturing supply chains. We’ll discuss new possible approaches and what we have seen working.
- Are traditional algorithmic and simulation approaches to optimization still working with the current volatility and uncertainty?
- Have you used digital twins for your supply chain? How is that working?
- Are you optimizing at all levels: strategic, tactical, and operational? Are some more effective than others? Are there barriers?
- Are machine learning and related advanced analytics helping with optimization?
- Do you see a role for Generative AI or other new approaches?
- Beyond technologies, are there new processes, and mindsets needed for optimization and scenario planning?
All Results for "All"
GE Proficy 2024: Expanding on IT, OT, Sustainability, and Operations Scale and Ease
Making plant floor software more straightforward to use, rollout, maintain, and sustain is a worthy endeavor. The fourth annual release of the GE Digital Proficy portfolio as an integrated release was packed! Updates range from expanding industry fit to architecture for enterprise rollout, cloud everywhere, composability, consistency for connected workers, sustainability functionality, and pre-built analytics…
Denodo Delivers Data Fabric Value via Data Virtualization
Julie Fraser and I were introduced to Denodo through a connection made in the Manufacturing Enterprise Solutions Association (MESA) International Smart Manufacturing Community. Denodo is a large, fast-growing data management company with capabilities supporting enterprise data fabric and data integration. We spent some time with the Denodo team, learning about their solution for data virtualization…
PDTec offers Manufacturers Innovation through Integration
I caught up with an old friend who has an exciting new role as Executive Board Member and Co-Owner of PDTec, a company that I am excited to get to know better. The company offers a series of composable apps based on their data management platform, ice. NET. I love their tagline “innovation through integration”…
Reflections on AI, PLM, and more from Autodesk University
2023 is in the rearview mirror and I’m reflecting on a few things that Michelle Boucher and I learned and what they mean for our industry. Here are some takeaways from Autodesk University 2023, including AI and PLM strategy updates, that will have a big impact on the industry. This is only a small portion…
IndustryApps Industrial Dataspace and Ecosystem Aims to Democratize Industry 4.0
What is holding companies back from Industry 4.0 project and initiative success? A few things: integration for data flows, speed to deploy software consistently to multiple sites for scalability, disconnects between corporate IT mandates and in-the-plant needs, and projects that don’t fit the budget of smaller plants and companies. Recently, Jim Brown and Julie Fraser…
The Value of the Manufacturing Digital Twin in CPG
Introduction I had the opportunity to join two industry experts, Stephen Birtsas and Leo Moran of Kalypso, in an interactive panel discussion about the manufacturing digital twin. Our goal was to examine the business value of manufacturing digital twins in the consumer packaged goods (CPG) industry and review some tangible examples of successful implementations. There’s a…
MBE in Action Complex Discrete Manufacturing Experts Panel
How can you get on the journey to a model-based enterprise? What are we learning that you can put into action today? Mark your calendars for January 17th at 11AM PT/2PM ET to join us for an engaging webinar covering topics such as: Why transform? What are the biggest benefits as a manufacturer moves toward…
Ongoing Value from MES as a Semiconductor Company Evolves and Innovates
Semiconductor makers must evolve and innovate, so how can MES keep delivering value? Specialty chips can be great niches, but they don’t necessarily improve linearly or predictably. So, semiconductor companies must become more effective innovators rather than only seeking stability or increased product processing speed. Changing products, processes, and customers can boost win rates. No…
The Semiconductor Risk Conundrum: MES Status Quo or Migration?
When can an early technology decision create a risk conundrum? When you’re a semiconductor company that implemented MES a decade ago or more. You now face the decision of whether to stick with an outdated legacy system or migrate to current MES. Julie Fraser explores this risk conundrum in her second of three guest blog…
BrightFire Aims to Operationalize Innovation Portfolios for Smaller Companies
What’s new and interesting in the product portfolio management (PPM) market? I caught up with Bryan Seyforth’s new company, BrightFire, to find out. What I learned is that he’s planning to make PPM more accessible for smaller companies. This is early, but something to watch. PPM Leader Starting Fresh I was excited to catch up…
Propel Transitions Leadership, Continues Delivering on PVM Strategy
A lot has happened since I last wrote about Propel and their Product Value Management strategy. Several significant updates are their continued progress toward their vision, very successful Propulsion and Dreamforce conferences, and a carefully executed shift in executive leadership. Delivering on PVM Let’s start with vision. The goal of PVM, in a nutshell, is to…
Building the Business Case for PLM
How do you build a business case for PLM that puts business value first and recognizes the role that product lifecycle management (PLM) technology plays in achieving it? Watch the replay of our President of Digital Innovation Research, Jim Brown, and Trace One PLM expert, Jobi Varghese, to learn organizational and industry drivers that you…
Julie Fraser Quoted in Apprentice Press Release for Tempo 7.2
Can a “dot-release” of SaaS software deliver even more value to the industry? If it expands the footprint, yes. The Apprentice press release announcing Tempo Manufacturing Cloud Version 7.2 appeared November 8, and quotes Tech-Clarity’s Julie Fraser. This SaaS product aimed at biotech and pharmaceutical manufacturers includes MES, but is much more. Per the quote…
What Do You Need to Improve Service with IoT?
One of our most recent guides, Seven Keys to Improving Service with the IoT, focuses on helping manufacturers and service companies get the most out of machine monitoring. The guide offers seven considerations for companies to consider when they target service transformation. As we published the guide, I wondered if writing about “how” to improve…
Transforming Manufacturing Planning in the EV Era
The transition to electric vehicles (EVs) is fundamentally disrupting the automotive industry, forcing manufacturing engineering to digitally transform. Given this: How can automotive companies leverage digital manufacturing best practices to launch and scale EV programs faster? How can they set the stage for greater agility to drive innovation and improvements of all kinds into production? Read…
International Manufacturing-X Council for Supply Chain Data Flow
Might international standards for data exchange and interoperability between trading partners worldwide finally take hold? Could multi-enterprise manufacturing networks get cost-effective data flows in an open, vendor-agnostic network? That’s the intention of International Manufacturing-X Council (IM-X). Michelle Boucher and I had an opportunity to learn about this new consortium of 10 nations from CESMII (The…
MBE Continuity from Engineering to Shopfloor and Back
What is missing in transforming into a model-based enterprise (MBE)? For one thing, continuity from engineering to shopfloor and back. Gaining MBE continuity is a many-faceted challenge. There are people, process, and technology issues to transform. In this on-demand webinar we explored those issues. It will get you thinking about how details of the digital…
Duro offers Simplified Design Data Management with PDM One
I just learned about a new solution from a briefing from PLM provider Duro. The briefing, by coincidence, followed a recent conversation on LinkedIn about the value of a simple approach to managing product data. The discussion brought me back to a lot of my early research on “how much PLM is enough” and generated…
Building Internal Supply Chain Visibility and Collaboration
Visibility and collaboration are crucial to supply chain success and resilience, but even getting that internally can be a challenge. Join as Julie Fraser facilitates a discussion in MESA’s Smart Manufacturing Community Smart Connected Supply Chain Group on November 29. What are manufacturers doing to see and work both within and beyond the supply chain…














