
Ep. 274 - David Schultz on ISA 95, Knowledge Graphs, and Building a Data Model for AI
There is no pyramid anywhere in the ISA 95 standard. David Schultz explains what is actually inside it and how to turn it into a working data model.
Most engineers meet ISA 95 as a layered triangle on LinkedIn and never get past it. David Schultz of Amárach StackWorks takes that image apart. The pyramid appears nowhere in the standard, which exists to define how business systems such as ERP exchange information with manufacturing and control systems. Eight parts are published today, Part 1 refreshed in 2025, with Part 9 still in committee. Start with Parts 1 and 2. Part 1 sets the scope, Part 2 delivers the resource, information and process models. Parts 3 and 4 add the activity models and the work master. Parts 5 and 6 supply the verbs and exchange patterns.
From there it collapses into a frame you can hold in your head: four resources of equipment, physical asset, personnel and material, four domains of production, maintenance, quality and inventory, and four exchanges covering definition, capability, schedule and performance. Use what works and leave the rest. On adoption David is candid. The full set runs roughly $1,400, and the paywall keeps it out of most LLM workflows because ISA would forfeit copyright by opening it up.
Where it breaks is data governance. When every site builds bespoke models, stitching them together means inventing a fourth abstraction. Vlad offers a first hand version from Procter and Gamble, where nobody at plant level owned the data structure moving from Rockwell controls into Proficy. For brownfield sites the advice is the Strangler fig pattern: leave what runs and replace functionality over time.
The second half demystifies knowledge graphs using a family tree. A graph stores a subject, a predicate and an object, and the relationship is a first class citizen, not a foreign key. RDF defines the things, RDFS adds schema, OWL adds inference so a system can derive siblings from a shared parent, and SHACL constrains the shapes. Applied to a tank, that means volume and level as properties plus the resource relationship network to map which pump feeds which vessel. Rhize implemented the entire 2018 standard as a graph. David stays cool on AI. A shared ontology means a model never guesses whether two names match, but he expects it to underwhelm. His book pick is The Semantic Web for the Working Ontologist.
About David Schultz
David Schultz is a principal consultant and co founder of Amárach StackWorks, a consultancy describing itself as standards based manufacturing operations management built on a modern technology stack. He has spent close to 30 years in process control and factory automation, starting at the device layer before moving through SCADA into MES and ERP integration. He was previously a senior consultant at Rhize Manufacturing Data Hub, where ISA 95 was implemented as a knowledge graph. He last appeared on Manufacturing Hub for Episode 85.
https://www.amarach.io
Timestamps
0:00 Introduction and ICC preview
2:05 David Schultz and Amárach StackWorks
4:10 What ISA 95 actually is and why the pyramid is not in it
7:20 Where to start with the standard
9:40 The ROI of a shared data model
15:00 Which parts of the standard to read first
20:40 The adoption gap: cost and misconceptions
24:20 Who inside a plant should own the model
32:50 Knowledge graphs: RDF, RDFS, OWL and SHACL
43:30 The standard is not prescriptive about protocols
47:40 Knowledge graphs, ontologies and AI
53:40 Future of standards, career advice and book pick
References
ISA 95 Standard and Training: https://www.isa.org
Rhize ISA 95 Learning Resources: https://docs.rhize.com/isa-95/
About Your Hosts
Vladimir Romanov is a co-host of The Manufacturing Hub Podcast and the founder of Joltek, an independent manufacturing and industrial automation consulting firm specializing in modernization strategy, digital transformation, and workforce development. Joltek works with manufacturers and investors to de-risk modernization and build the internal capability to sustain results.
Connect with Vlad: https://www.linkedin.com/in/vladromanov/
Want to go deeper? Vlad and the team at Joltek have covered related topics here:
Manufacturing Execution Systems: https://www.joltek.com/blog/manufacturing-execution-systems-mes
Unlocking Industrial Data in Manufacturing: https://www.joltek.com/blog/unlocking-industrial-data-in-manufacturing
Dave Griffith is a co-host of The Manufacturing Hub Podcast and founder of Capelin Solutions, an industrial automation firm helping manufacturers adopt smart manufacturing technology. He brings 15 years of experience in industrial automation and digital transformation.
Connect with Dave: https://www.linkedin.com/in/davegriffith23/
Subscribe to Manufacturing Hub: https://www.manufacturinghub.live
LinkedIn: https://www.linkedin.com/company/manufacturing-hub-network
YouTube: https://www.youtube.com/@ManufacturingHub
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