Insights
Manufacturing
173 guides · page 3 of 4
JobBOSS and JobBOSS² data: export and licensing guide
A JobBOSS data export guide for job shop owners: the record map, how to keep quote, job and time ticket links intact, and what to exclude before licensing.
Legacy AS/400 (IBM i) manufacturing ERP data: archive before you retire it
An AS400 data archive keeps manufacturing ERP history readable after the system is gone. Use this checklist to extract, document, retain and assess it.
LIMS data export: QC results and certificates of analysis
A LIMS data export should carry QC results with specs, lot, method version and disposition, not just COA PDFs. Use this checklist before a migration.
Machine data clauses in equipment purchase contracts: what to look for
A machine data clause decides who controls what your equipment records. Red and green clause patterns, paraphrased, and a checklist for the next purchase.
Machine monitoring platforms: who owns the data from your machines?
Machine monitoring data ownership is set by your platform contract, not the machine. See the clause spectrum and what to add before you sign or renew.
Machine shop valuation in 2026: what buyers pay for and what they discount
Machine shop valuation in 2026: the value drivers buyers name, from equipment records to CAM depth, the record that proves each, and what gets discounted.
Maintenance work orders vs sensor data: which do AI developers want?
Maintenance work orders vs sensor data: what each captures, how the two link, and why AI developers value them most when they are kept and joined together.
Maintenance work orders vs sensor data: which is more useful to AI?
Maintenance records vs sensor data for AI, compared on signal, label quality, cost to collect, AI uses and licensing appeal, with a rule for which leads.
Manufacturing data readiness checklist for AI, including data rights
A manufacturing data readiness checklist for AI with the rights checks vendor lists skip: ownership, customer designs, export limits and outside use.
Manufacturing quality records retention: NCRs, CAPAs and inspection data
Quality records retention in manufacturing by record type: what sets the period for NCRs, CAPAs, inspection and SPC data, and how to keep records usable.
Manufacturing quotes and RFQ histories: why AI teams value them
RFQ and quote history for AI: how RFQs, routings, cost build-ups and won or lost outcomes map to AI tasks, and which customer design files must stay out.
Masking part numbers and customer names without breaking record links
How to mask part numbers and customer names in manufacturing records with consistent tokens, so jobs, NCRs and orders still join after de-identification.
MES data for AI: what to export from your manufacturing execution system
An MES data export for AI should pull genealogy, events and quality outcomes, not just tags. See record types, value, export methods and what to leave out.
MES data vs ERP data: which matters more to AI developers?
MES vs ERP data compared for AI licensing: where decisions, exceptions and production sequence live, how to join them, and which to prioritize first.
Microvellum, Cabinet Vision and INNERGY: keeping job history when switching
A Microvellum, Cabinet Vision or INNERGY migration can strand years of job history. Use this export checklist for libraries, material lists and estimates.
Mold transfers: which records go with the tool when a customer moves it
A mold transfer checklist for molders: what ships with the tool, what is negotiable, what stays as your know-how, and how to document the mold's condition.
Moldmakers: who owns mold designs and flow simulation files?
Who owns mold design files? The tooling contract usually decides, not who paid for the steel. See which clauses move designs, simulations and standards.
NCR and CAPA histories: what AI teams learn from quality decisions
NCR and CAPA records show AI teams how quality decisions get made. See the chain from NCR to effectiveness check, the fields buyers want and common gaps.
Nonconformance and CAPA records: why AI teams value quality decisions
NCR and CAPA data for AI: which fields support defect triage, disposition and root-cause tasks, and which customer-design details are removed first.
Paper lab notebooks and spreadsheets: digitizing formulation history
Digitize lab notebooks and formulation data in the right order: formulas tied to commercial products and test outcomes first. A field template for R&D.
PFAS-free reformulation with AI: what your formulation history is worth
AI PFAS-free reformulation depends on your formulation history: which lab records help most, from failed trials to raw-material data, and what they are worth.
Print MIS migration: what job history to keep when you switch
A print MIS migration plan in three buckets: what to migrate, what to archive and which estimate-to-actual history to assess before the old system goes dark.
Printing plates, cutting dies and artwork at converters: who owns them?
Who owns printing plates and dies depends on quotes, invoices and terms, not payment alone. See who usually owns artwork, plates, dies and dielines.
Private-label manufacturing: whose design and warranty data is it?
Private label manufacturing data ownership turns on the supply agreement. See who usually holds designs, specs, production and warranty records.
Process historian data: what to keep, archive and license
Process historian data for AI: a keep, compress or discard table by signal type, the context that makes tags usable, and what stays out of a license.
Process recipes and setpoints: what to keep out of a data license
Process parameters are often trade secrets. See which recipes and setpoints stay out of a data license, what can be shared as ranges and which terms help.
Production downtime logs: why AI teams value reason codes and fixes
Downtime data AI teams can use: which stop log fields matter, why repair notes outrank reason codes, and what plants remove before licensing stop history.
Production schedule changes and expedites: decision records on the shop floor
Production schedule changes records show who moved a job, why, and what shipped. See which expedite and reschedule records to keep and how to link them.
Production schedules and changeovers: what AI learns from planning decisions
Production planning data AI teams value: how schedule versions, changeover logs and reschedule reasons become training records, and what to save first.
Production scheduling records: why the reschedules matter more than the plan
Production scheduling data is most useful where it records change. See which plan and reschedule fields capture planner judgment and how to keep that history.
ProShop ERP data: what a machine shop can export and keep
ProShop ERP data export, planned by record area: work orders, quotes, NCRs, inspection data and documents, plus the export routes to confirm before a switch.
Quality records after a plant closes: NCRs, CAPAs and product liability
Closing a plant? How to keep NCRs, CAPAs and inspection records for product liability, who holds them, and which retained records could later be licensed.
Quote-to-cash records for AI: what a complete chain looks like in manufacturing
Quote-to-cash data is valuable for AI when quotes, order changes, shipments, invoices and credits link end to end. See the chain and the fields that matter.
Records retention schedule template for manufacturers
A records retention schedule template for manufacturing by record class: system of record, trigger event, period source and reuse limits for quality data.
Resourcing: what records and tooling go when an OEM moves your parts
Automotive resourcing tooling transfer, item by item: which customer tooling, PPAP files and part records go, and which process know-how your plant keeps.
Returned part teardown reports: why failure analysis records matter
Failure analysis report records connect a warranty claim to a teardown finding and a fix. See what each record holds and where the chain breaks.
Robot cell logs and cobot programs: are they useful training data?
Robot program data and cobot logs can be useful AI training data when they record faults, recoveries and operator interventions. What to keep and check first.
SAP ECC end of maintenance in 2027: what to do with historical manufacturing data
SAP ECC 2027 historical data options for manufacturers: migrate, archive, retire or preserve for licensing, plus a checklist to finish before decommissioning.
Scrap and rework logs: licensing value and privacy checks
Scrap and rework data can be licensed for AI once it passes three checks: consistent reason codes, linked jobs and operator names removed. Test yours.
Selling a co-packing business in 2026: buyers, terms and value drivers
Selling a co-packing business in 2026? Who buys co-manufacturers, the deal terms to expect, and the records that prove customer, contract and capacity value.
Selling a commercial printing company in 2026: what buyers check
Selling a printing business in 2026? The questions buyers ask about customer retention, equipment and MIS data quality, and the records that answer each.
Selling a label or flexible packaging company: what PE roll-ups want
Selling a label printing company or flexible packaging converter? What PE roll-ups check, from press fleet to short-run capability and MIS data quality.
Selling a manufacturing business in 2026: preparing your data room
A manufacturing business data room checklist for 2026: the folders buyers expect, plus the system inventory and data-rights summary diligence now asks for.
Selling a manufacturing business: what to do with quality and maintenance history
Selling a manufacturing business? Plan what happens to NCRs, SPC data and maintenance history before signing, including what you keep and a license option.
Selling a metal fabrication business: what buyers check first
Selling a metal fabrication business? Buyers check backlog, customer mix, equipment, certifications and estimate accuracy first. See the record behind each.
Selling a specialty chemical or coatings company: formulas in diligence
Selling a specialty chemical company puts formulas at risk in diligence. A staged-disclosure checklist: summary data first, clean teams, formulas last.
Selling an injection molding company in 2026: buyers and value drivers
Selling an injection molding company? Value drivers buyers test, from press fleet and tooling ownership to scientific molding, and the records behind each.
Service manuals and troubleshooting trees: licensing for equipment makers
Service manual data licensing works best when internal troubleshooting history comes with the manuals. What equipment makers can license and what stays out.