Research and writing
AI in a factory should start from a real problem and real data. The research and articles here come from my own work.
M.Sc. in Digital Technology
Predictive Work Order Management for Semiconductor Production Using the Random Forest Algorithm
Pisarn Boonnuk and Walisa Romsaiyud
KMUTNB Journal of Information Technology (TCI Tier 1), Vol. 23 No. 1, January–June 2027
AI articles: principles and practice
Published
Floor-First: my way to change an organization, six weeks at a timeA faster take on enterprise architecture: one day on the floor, one decision, an AI-drafted worksheet, a slice in use within two weeks, and a blueprint that fills up from real work.
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Enterprise architecture, part 5: building the blueprint with the Design & Track worksheetHow to fill in the DT worksheet box by box, with a factory example, and how worksheets roll up into a one-page, color-coded enterprise blueprint.
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Enterprise architecture, part 1: a map so factory systems stop growing apartWhat enterprise architecture is, the four layers to look at together, the four steps, and a current-state survey table a factory can use today.
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Enterprise architecture, part 2: business and applications, fitted to the jobCapabilities versus processes, five application design activities, balancing user, business and system, and a table for choosing app types in a factory.
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Enterprise architecture, part 3: master data in one place, with an ownerData management principles, TOGAF, DMBOK and COBIT, the enterprise data model, hybrid data placement, and five starting steps for a factory.
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Enterprise architecture, part 4: technology, change and governanceThe technical reference model, change management, architecture contracts, how to change the organization so the blueprint is used, and a first-year plan for a factory.
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Home hydroponics guide: the numbers to check every daypH, EC and temperature ranges for lettuce, a five-minute daily routine, and common beginner mistakes, from real growing.
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Guide: retire paper forms for a mobile app in five stepsA small-business method, from picking the first form and watching real use to running beside paper and retiring it, with a checklist.
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Technology is only one of six dimensionsSix dimensions of reshaping management for digital transformation, with real examples from a factory moving off paper and a small farm.
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Strategy first, technology secondA six-step framework for digital strategy, with two real system examples: a smart farm, and a factory moving from paper forms to mobile-app recording.
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Building systems with AI: fast without breakingSix rules from practice: plan first, tests first, verify on the real thing, security now, small reversible steps, people accountable.
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Sequencing semiconductor work orders with Random ForestMy master’s research in brief: 4 million production rows, three models compared, and how it went into use.
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AI in the factory starts with the data you already haveFive principles from practice: start from a decision, reuse existing data, measure fully, deploy where people work, keep people in charge.
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An edge + cloud smart farm that survives an internet outageSeparate control from analysis, keep data in the right place, and let the board own safety.