Scrap Reduction in Manufacturing

STOP PAYING FOR PARTS
YOU CAN'T SHIP.

Capture every reject where it happens, understand what caused it, and catch process drift before it creates more bad parts. Turn scrap from an unexplained cost into something you can find, fix, and prevent.

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YOU FIND OUT AT INSPECTION.
YOU PAID FOR IT AT THE SPINDLE.

By the time inspection finds a bad part, you’ve already paid for the material, machine time, labor, and tooling. Capture every reject where it happens and catch process drift before it creates the next one.

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SCRAP ATTRIBUTED TO ITS CAUSE

Tie every reject to the machine, job, operation, operator, shift, and reason so you can find what’s actually driving scrap and fix it.

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MORE GOOD PARTS THE FIRST TIME

Catch tool degradation and process drift before they create an out-of-spec part, so improving quality doesn’t require making scrap first.

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COST OF POOR QUALITY

Put a dollar value on scrap and rework, see where the biggest losses are coming from, and track whether your improvements are actually reducing them.

CAPTURE WHAT HAPPENED.
PREVENT WHAT'S NEXT.

Capture quality where the work happens, find what’s driving defects, and monitor the process closely enough to prevent the next one.

Log the reject where the part was made.

Operators record rejects against the job as they happen, with the reason and production context attached. See scrap alongside live job progress so problems surface while the job is still running.

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GOOD PARTS. BAD PARTS. ONE RECORD.

Send verified good counts, reject counts, and reasons back to your ERP, tied to the job and operator. Keep production, inventory, and costing aligned without reconstructing quality records after the shift.

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FIRST ARTICLE READY. QUALITY NOTIFIED.

Notify quality as soon as a first article is ready and track approval back to the job. Cut the wait between setup and production without letting unapproved parts pile up.

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Which quality problem is costing you the most?

Break scrap down by machine, job, part, operator, shift, and reason. Rank the biggest losses, see what keeps recurring, and focus improvement where it will have the most impact.

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CATCH THE TOOL BEFORE IT MAKES SCRAP.

Use high-frequency machine data to detect tool wear, breakage, and chatter as they develop. Catch problems before they create bad parts, without adding another sensor to the machine.

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CATCH THE DRIFT BEFORE IT MAKES AN OUT-OF-SPEC PART.

See when process conditions begin moving outside their normal range and alert the right people early enough to intervene before the process produces scrap.

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MAKE SURE THE PROBLEM STAYS FIXED.

Set a baseline, measure the improvement, and see when performance starts slipping again. Know whether the fix actually held before the old problem starts making scrap again.

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See It In Action

First article inspection shouldn’t leave a machine waiting. See how one button press alerts quality, automates the handoff, and gets an approved first part back into production faster. FASTER FAI. MORE UPTIME.

TESTIMONIALS

CATCH IT BEFORE IT COSTS MORE.

Manufacturers are capturing quality at the source, getting the right people involved faster, and turning rejects and inspection delays into measurable problems they can improve.

Explore Case Studies

Hamilton

CATCH IT BEFORE IT BECOMES AN NCR.

We might stop those from making it to assembly and causing NCRs for us later on.

- Philip Linscheid, Director of Manufacturing, Hamilton Company

FULL CASE STUDY →

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85% FEWER INVENTORY CORRECTIONS.

Tuffaloy reduced inventory corrections 85% year over year by capturing quality issues with the production context attached and getting quality involved faster.

FULL CASE STUDY →

FIRST ARTICLE WAIT, CUT FROM HOURS.

Pindel routes first articles directly to quality as soon as setup is complete, cutting hours of inspection wait and getting machines back into production faster.

FULL CASE STUDY →

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OEE

OEE & Production Analytics

See where quality losses are hurting OEE and which machines, jobs, and parts are driving them.

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tool life-1

Tool Life Management

Catch premature tool wear and failures before they create scrap or put parts at risk.

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work order management

Work Order Management

Keep job status, quantities, rejects, and production context together from release through completion.

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condition monitoring

Condition Monitoring

Detect process and machine drift early enough to intervene before it becomes a quality problem.

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