79 articles exploring PLM history, strategy, and technology
79 articles
ProveIt! is the 4.0 Solutions / Walker Reynold's annual industrial operations conference. This year it drew 51 software vendor sponsors and hundreds of manufacturers to Dallas for five days of live demos, keynotes, and honest conversation about what's actually working on the factory floor. I stayed
Executive Summary PLM isn’t broken. The suite-centric architecture is. Keep PLM Core as the System of Record for what must be governed (BOM/configuration, change, lifecycle state). Then modernize the stack around it: * Data Contract + Governance: semantics, access rules, lineage, quality * MCP
Twenty-five years after MatrixOne, Arena, and Aras proved you could build PLM without owning CAD, a new wave of startups is attacking the same market—but with cloud-native architectures, AI copilots, and a focus on speed over customization[1][2][3]. This isn't just mid-market disruption anymore. Som
By the early 2000s, PLM was dominated by vendors with deep CAD roots—PTC, UGS/Siemens, and Dassault Systèmes. But a different breed of players emerged around the same time, building PLM without owning a flagship CAD system. They bet on cloud, open architectures, and flexibility long before those wer
While PTC and Siemens built PLM by extending engineering-centric PDM, Dassault Systèmes took a fundamentally different path: it started with CATIA's dominance in aerospace and automotive, acquired the building blocks for a multi-tier PLM portfolio, faced a major architectural setback, pivoted brilli
By the early 2000s, two powerful but incompatible PDM systems dominated different corners of manufacturing: UGS's IMAN ruled assembly-heavy industries like automotive and aerospace, while SDRC's Metaphase served discrete manufacturing and mid-market customers. What happened next—a merger, strategic
When Pro/INTRALINK reached the limits of engineering-centric PDM in the late 1990s, PTC made a strategic bet that would reshape its future and the PLM market: acquiring an upstart company called Windchill Technology and transforming it from an internet-based collaboration tool into the foundation of
From the 1980s to the 2000s, we see PDM evolving from simple file control into something much more ambitious. By the early 2000s, the distinction between PDM (managing CAD data) and PLM (Product Lifecycle Management) started to blur. The systems from PTC, UGS/Siemens, Dassault, and others were expan
While VPM V5 targeted the high end (large enterprises with CATIA V5), Dassault also had a mid-market strategy. In early 1999, they acquired a 75% stake in an Israeli company called Smart Solutions, whose product SmarTeam was a more affordable, department-level PDM. Initially, SmarTeam was positioned
As PDM capabilities matured at the high end, they also trickled down to the mid-market CAD world in the late 1990s and early 2000s. Many smaller companies using CAD now faced similar challenges managing assemblies and revisions, albeit on a smaller scale. Two representative examples are SolidWorks a
No discussion of 1990s PDM would be complete without IBM and Dassault Systèmes, the team behind CATIA. CATIA was a dominant CAD system in aerospace and automotive, known for handling massive assemblies (airplanes, for instance!). In the early ’90s CATIA (then in Version 4) had basic assembly managem
UGS iMAN: Distributed Assembly Management (Late 1990s) In parallel with PTC’s efforts, Unigraphics Solutions (UGS) – the company behind Unigraphics (later NX) CAD – was forging its own path in PDM. UGS introduced a system called iMAN, short for “Information Manager,” in the mid-1990s. From the star
Early CAD Assemblies and the Rise of Data Management (1980s) In the 1980s, CAD software began to support 3D assemblies, but managing the many files and relationships of a complex product was largely a manual or ad-hoc process. Engineers often relied on naming conventions and printed BOMs to track w
A funny thing happens when you zoom out far enough on the history of CAD: every few decades, the mathematics behind geometry quietly change — and suddenly, an entirely new design vocabulary opens up. The 1980s brought solids and Booleans. The 1990s perfected NURBS and parametrics. And the 2020s?
In one of my favorite books, Zen and the Art of Motorcycle Maintenance, author Robert Pirsig described how tinkering with his motorcycle led him to deeper philosophical insights and a sense of zen. In the Product Lifecycle Management (PLM) world, “tinkering” or heavy customization has traditionally
After tracing PLM’s evolution in the United States and Europe, it would be easy to imagine the story as complete — a tale dominated by the Boston Route 128 corridor, Silicon Valley, Stuttgart, and Paris. Yet that would ignore an equally compelling truth: CAD and PLM are not Western monopolies. Acros
While Silicon Valley birthed the personal computer and Boston’s Route 128 pioneered CAD innovation, Europe’s contribution to Product Lifecycle Management tells a fundamentally different story—one of manufacturing heritage meeting digital transformation.
The Kernel Wars: A Modern Perspective Today's CAD landscape is defined by a complex ecosystem of geometric kernels and constraint solvers, each representing different strategic approaches. To better understand it, let's first look at the history of the various platforms: Fun fact: I was born in 19
The future of engineering software lies not in the dominance of individual kernels but in their seamless integration. The boundaries between CAD, CAM, and CAE are dissolving as products become more complex and development cycles compress. The Data Handshake Challenge ISO 10303 (STEP) was supposed t
The Reality Engine In 1941, Alexander Hrennikoff published a paper that would reshape human civilization. Working at MIT, the structural engineer proposed dividing complex structures into simple elements, solving each element's behavior, then assembling the results into a complete solution. He call
The Translation Engine The story of Computer-Aided Manufacturing is fundamentally about translation—converting the perfect mathematical surfaces of CAD models into the messy reality of cutting forces, tool deflection, and heat management. It's the bridge between digital dreams and physical products
Chapter X: The CAD Kernel Revolution - From Drafting Tables to Digital Twins The Geometry Engine The fluorescent lights hummed overhead in General Motors' Warren Technical Center as Chuck Eastman hunched over his terminal in 1973, wrestling with what would become the most expensive software mista
Before we wrap up the Kernel Wars, I thought it would be good to look at the hardware side of the trench warfare fought between companies we discussed such as Silicon Graphics. Here is the story of graphics adapters and AI, their unlikely beneficiary of the 21st century!
The Evolution of Graphics APIs Graphics APIs have been the unsung heroes of the Kernel Wars, serving as the critical bridge between surfacing algorithms and visual output. These interfaces translated mathematical constructs like Bézier surfaces and NURBS into renderable forms, powering CAD, visual
Equally important in the evolution of the Kernel Wars, the battle for controlling surfaces - and ultimately the automotive body industry as well as the nascent Hollywood Special Effects industry, is the history of surfacing technology. It is not only a tale of mathematical innovation—it is one of br
Here is inline math: ( e^{i\pi} + 1 = 0 ) Here is block math: $$ \int_a^b f(x), dx = F(b) - F(a) $$
I have been at pains to prove that all this MCAD history is relevant to us today because the problems it solved were found to be analogous to those required for advancing artificial intelligence. The full mathematical story below.
At the beginning there was only direct modeling on solids. PTC changed the game with parametric modeling when they launched Pro/ENGINEER, but then CATIA V5 was the first to achieve the best of both worlds. What follows in an explanation of what these terms mean and where the MCAD industry is headed.
Sometimes vendors approached the market haphazardly or did not see a technological shift, and sometimes they were too lazy to fix their bugs. This is the story of three dead ends in the history of MCAD.
At the advent of Microsoft Windows stood Jim Meadlock of Intergraph and Jon Hirschtick of Winchester Design (later SolidWorks) that saw the writing on the wall for the death of UNIX workstations. This is the story of how they got there and their very different fates afterwards.
Development of graphics kernels is pretty hard are we'll see a little later, so not everyone could afford to build their own. This is the story of a few that were modular and usable by other applications and some that stayed proprietary to their original company.
The origins of modern CAD technology come from the laboratories of computer science at the University of Cambridge. Let's explore the story.
A graphics kernel is the unsung hero of CAD systems, managing the rendering and manipulation of graphical elements. This chapter explains the DNA of MCAD applications.
inaugural #SharePLMSummit in the superb Bodegas Fundador in (very) sunny Jerez, Spain. It is hard to do a final post, but here is a helpful index listed chronologically according to the agenda
Despite decades of digital transformation, most organizations still struggle to connect their Systems of Engagement (where people interact), Systems of Record (where data is stored), and Systems of Insight (where intelligence is created).
While most manufacturers are familiar with the Bill of Materials (BOM) concept, there’s growing interest in more comprehensive frameworks like the Bill of Information.
delve into the Agentic AI use cases in the context of PLM, providing more detail on the pieces and parts, the AI's role, the system interactions, and how the sources discuss dealing with issues. Here are five key PLM-related use cases discussed, integrating the details provided across the sources.
From San Diego to Seattle, West Coast innovators infused PLM with computing breakthroughs, consumer-focused design thinking, and eventually, cloud transformation that would reshape how the entire world approaches product development.
The central United States—spanning from the Great Lakes to the Gulf Coast and from the Appalachians to the Rockies—has been home to pioneering companies and visionaries who fundamentally transformed how products are designed, engineered, and manufactured.
Product Lifecycle Management (PLM) software has a surprising epicenter: Boston's Route 128, home to many PLM and engineering software giants.
#ArasACE2025 was a fantastic few days in Boston where I got to learn about the Aras Corporation vision, hear from their customers, but especially interview some of the PLM Hall of Fame members such as Peter Schroer, Jim Cashman, Tony Affuso, Martin Eigner, and Peter Billelo amoung many, many others.
Index of My Summaries from Capgemini Engineering Horizons Conference 2025
Building on our previous analysis of current PLM implementation challenges, we project a technological trajectory for the next 3-5 years, identifying key inflection points, technical prerequisites, and strategic implementation pathways.
While the vision of AI agents orchestrating a seamless digital thread across enterprise systems is compelling, several readers rightfully pointed out that many organizations are still struggling with fundamental PLM implementation challenges.
Just as we've moved from talking about "Big Data" and "IoT" to "Digital Twin" and "Digital Thread" in recent years, we're now witnessing another transformation with "Agentic AI" taking center stage.
Demystifying Digital Twins
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A Short History of Autodesk-hd
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Digital Maturity
Will an AI really replace all programmers? Building a Full-Stack Application from Scratch with Spring Boot, Java, ImageJ, OpenCV, and DevOps: A Journey with AI
Aras Connect Paris 2024 Field Report
Introduction In the ever-evolving landscape of manufacturing in the 21st century, one thing remains constant: the pursuit of efficiency and quality. For decades, manufacturers have strived to optimize their processes, reduce defects, and enhance productivity. Enter Artificial Intelligence (AI), the
Robust data integration is essential for managing complex operations across systems such as Product Lifecycle Management (PLM), Manufacturing Execution Systems (MES), and Enterprise Resource Planning (ERP).
DS brands, ENOVIA, CATIA, DELMIA, SIMULIA
October 29, 2017 UPDATED December 2023 In 2014, Dassault Systèmes announced the launch of the 3DEXPERIENCE platform which replaced their V6 product line. Customers and partners still seem to be confused about the differences between the old architecture and the new one, so I propose to take a few
Presentation 1: Saab's HELIPLE-2 and Federated PLM by Erik Herzog Erik Herzog of Saab Aerospace provided an insightful introduction to the HELIPLE-2 project at Saab, a proposal for industry standards in Product Lifecycle Management (PLM). The session opened with a robust dialogue on enhancing PLM t
In the 21st century, the focus of product development is increasingly around the business outcome delivered to the customer rather than the product itself. This means that product data needs necessarily to be associated more closely with consumer data, service data, and other sources which tradition
Digital Threads
Why do Digital Threads and Digital Twins need Digital Straws, or, how do PLM and Data Governance dovetail with each other? It is hard to read an article about Product Lifecycle Management in modern manufacturing industries without reading the terms Digital Twin, Digital Thread, and Data Governance.
Every few quarters, we tend to use new words to describe old concepts that are tweaked and update to sounds fresh and...complicated. A few years back, we were talking about Big Data and IOT whereas nowadays we hear about Digital Twin and Digital Thread. In this article, I will try to demystify these
UPDATED 07/10/2020! Siemens Digital Industries Software held its virtual global conference on June 23-24, 2020 to announce its new Teamcenter X platform. The content is free and accessible until July 24 via their website (https://events.sw.siemens.com/realizelive/) and there was a wealth of content