Metal Treating Institute and commercial heat treating: standards and ERP realities

What commercial heat treaters do for customers

A commercial heat treater receives parts from machine shops, forges and OEMs, loads them into furnaces, runs a recipe and ships them back with a certificate. Each job comes with a customer spec that states hardness, case depth, temper, straightness or atmosphere, and each furnace has qualification data that says which classes of work it may run.

Orders may be small lots of mixed part numbers or large repeat runs. Both rely on load building that fits furnace capacity and recipe compatibility, which is a scheduling problem as much as a metallurgical one.

Quoting and estimating realities

Heat treat pricing is usually by weight, piece or load, with add-ons for straightening, testing, special atmospheres, expedite and certification. Estimators need to know recipe time, furnace type, fixturing and quench method, and which jobs can share a load.

Common pricing misses are cycles that run longer than assumed, fixture cost and rework from hardness failures. Capturing actual cycle time per recipe and furnace gives a far better basis for quoting than a standing price list.

• Price by weight, piece or load with a minimum charge
• List testing, straightening and certification as separate lines
• Track actual cycle time by recipe and furnace

ERP and systems in heat treat shops

Many heat treaters run industry specific software for loads, furnace charts and certificates, sometimes alongside accounting packages such as QuickBooks, Epicor or similar. General job shop ERPs can work, but they are built for jobs with bills of materials, not for customer-owned parts moving through shared loads.

The data that matters most is the link from a customer lot to a furnace load, the recipe, the control and recording thermocouple charts and the test results. Weak links here are where certificate preparation turns into hours of manual copying.

Compliance and data handling

Under AMS 2750 and Nadcap, furnace and instrument records are audited, including calibration schedules, uniformity surveys and test intervals. Under CQI-9, process tables and monitoring plans are part of the assessment. These records need retention, revision control and clear ownership.

Aerospace and defense work may involve controlled technical data. Keeping documents and chart data on infrastructure the shop controls, and keeping AI tools read-only, fits the way these audits already expect records to be handled.

Where private AI helps and where it does not

Helpful tasks include asking which loads used a given furnace and recipe, finding calibration or survey due dates, drafting certificate content from load and hardness data for review, and searching past nonconformances and customer spec revisions in plain language.

AI should not set furnace recipes, change controller setpoints or release loads. Process control and metallurgical judgment stay with qualified people and the furnace control systems. If the shop already has good heat treat software, a vendor feature may be enough.