Automation ROI and payback: a business case operations can verify
Separate installed cost, cash savings, released capacity and recurring expenses, then test a conservative scenario before approving automation.
HMI, historian, batch, OEE, and manufacturing applications.
Learning paths & worksheets: Manufacturing performance: pace, losses and quality · OT backup & restore test template · Industrial data contract template
Separate installed cost, cash savings, released capacity and recurring expenses, then test a conservative scenario before approving automation.
Inventory the files and dependencies needed to recover a control system, set recovery objectives, and test restoration on an isolated target.
Design a stable telemetry namespace with identity, timestamps, units, quality and schema ownership before connecting dashboards and consumers.
Estimate raw historian volume, distinguish acquisition from storage filtering, and validate compression against the signals and events that matter.
Calculate stage yield and cumulative first-time success, keep rework visible, and avoid averaging percentages across incompatible populations.
Design a small reason-code tree, separate frequency from duration, reconcile overlapping events, and attach cost assumptions to the constraint.
Worked capability examples explain centering, within-subgroup versus overall spread, and the checks needed before interpreting an index.
Apply SPC where it works — control chart selection, rational subgrouping, capability indices, and the reaction plans that turn charts into control.
How SECS messages, GEM state machines, and HSMS transport connect fab equipment to MES — and what to demand in equipment acceptance.
Design SCADA systems that scale — field layer, communications, servers, redundancy, and alarming — without painting the project into a corner.
Select manufacturing execution software that lasts — shop-floor requirements, integration ownership, vendor evaluation, and pilot criteria that predict success.
Design HMIs operators can read at a glance — grayscale abnormality display, information hierarchy, and navigation that follows ISA-101.
Implement a CMMS that technicians actually use — asset hierarchy, PM optimization, work-order discipline, spares, and KPIs that drive decisions.
Where industrial energy actually goes, how to meter it so the data is trustworthy, and how ISO 50001 turns projects into persistent savings.
P, I, and D in plain language — manual tuning, Ziegler–Nichols, lambda, and the anti-windup and filtering details that decide whether a loop behaves.
A plain-language map of lots, FOUPs, AMHS, equipment interfaces, MES, and process data in high-mix, high-discipline semiconductor manufacturing.
Sampling, timestamps, operating context, labels, and work-order feedback matter more than choosing a sophisticated model too early.
Decide which system owns orders, materials, quality, genealogy, and production results before building another fragile interface between the business and the plant.
Asset hierarchy, units, quality, timestamps, metadata, and versioning patterns for process data that engineers can still understand years later.
Three systems that all "collect plant data" but answer different questions. Boundaries, handoffs, and how to stop buying two of them for one job.
DDS middleware, real-time profiles, and the ROS-Industrial consortium — a controls engineer's map of the Robot Operating System.
From vibration sensor to work order: sensing, transport, context, models, and the analytics layer where predictions become decisions.
The base standard models anything; companion specs model your industry. How to find, read, and actually use them.
Adapters, agents, and streams — how the open machine-tool connectivity standard works and where it fits beside OPC UA.
What levels 0–4 actually mean for MES integration, B2MML exchanges, and conversations between IT and operations.
Ladder, function block, structured text, and the rest — what each of the five languages is good at and how shops actually mix them.
The Robot Operating System project: ROS 2 documentation, middleware (DDS), packages, and the industrial (ROS-Industrial) consortium.
MTConnect Institute: the open, read-only standard for shop-floor device data — adapters, agents, schemas, and companion specs.
AutomationML: the open data format for exchanging plant engineering data between tools (topology, geometry, logic, behavior).
HighByte: Industrial DataOps software for modeling, contextualizing, and governing data from edge to cloud.
Availability × performance × quality from your shift numbers, with the six big losses mapped to each factor.
Estimate theoretical output and expected good units from cycle time, parallel lanes, availability and yield.
Calculate two-sided capability or performance indices from specification limits, mean and an explicitly selected variation estimate.
Estimate contribution at risk from a production stop, with separate restart, scrap and overtime costs.
Build a simple undiscounted business case with installed investment, realizable annual benefit, recurring cost and a chosen horizon.
Manufacturing · MES · Industrial IoT / IIoT · SCADA · Robotics · Industrial AI