Product · Material · Quality · Process Change

Product Size / Shape / Weight Change

Use this flow when the machine begins jamming, misfeeding, rejecting, slipping, tipping, missing counts, or mishandling product after product size, shape, weight, center of gravity, fill level, or surface behavior changes.

Terminology Panel

Key Terms in This Section

Need a term? Start here. Use these quick links, then return to this section without losing your place.

Walt — Simple Man Takeaway

A machine tuned for yesterday’s product may be innocent when today’s product acts different.

The machine may be innocent when today’s product no longer behaves like yesterday’s product.

H.M.M.M.A.A.I.™ Investigation Lens

Human · Method · Material · Machine · Atmosphere · AI

Human

People and support

Training, fatigue, handoff, role fit, communication, pressure, and whether the system supports the person properly.

Method

How the work is done

Setup, recipe, changeover, inspection, cleaning, adjustment, standard work, and actual practice.

Material

What the machine is asked to run

Product, lot, supplier, thickness, stiffness, moisture, ink, adhesive, tape, cardboard, film, and surface behavior.

Machine

Capability and condition

Wear, alignment, tooling, controls, sensors, drives, motion, utilities, and whether the equipment can still perform the required work.

Atmosphere

The process world

Temperature, humidity, dust, static, airflow, lighting, vibration, washdown, storage, and surrounding conditions.

AI

Information and automation

Inputs, context, prompts, data quality, integrations, outputs, human verification, and whether AI was used responsibly.

First Checks

Additional checks

  • Check whether product speed, spacing, pitch, or orientation changed.
  • Check whether labels, coatings, moisture, oil, dust, or surface finish changed.
  • Check whether upstream or downstream equipment is forcing product into the machine differently.
  • Check if the product behaves differently at startup, full speed, after warmup, or after storage.

R.E.A.L. Questions

  • There was a point when this machine ran the product well. What changed?
  • Is the product still inside the physical window the machine was built to handle?
  • Is the problem a machine failure or a product mismatch?
  • Does the failure follow one lot, one supplier, one SKU, one shift, or one storage condition?

Q.C. Module — Lot-Code Material Investigation

Goal: prove whether the material still matches the process before blaming the machine. This is a field guide for practical first-pass material investigation and evidence preservation; it does not replace a certified lab or formal quality system.

Record

Material identity

Product / SKU, supplier, lot code, batch code, date received, storage location, date opened, line/station affected, and good/bad/in-between sample IDs.

Compare

Good vs. bad

Place a known-good lot beside the suspect lot and document measurable differences, photos, test results, and process outcomes.

Ask without blame

Partner in discovery

Approach suppliers, vendors, service people, machine builders, operators, and associates as partners in discovery — not suspects in a trial.

Standard checks / tests

  • dimension / thickness / width / length checks
  • weight / basis weight checks
  • stiffness, curl, flatness, warp, or bend resistance checks
  • moisture content / moisture exposure checks
  • surface condition, ink, coating, or wetting checks
  • adhesion, peel, tack, tape, or glue bond checks where applicable
  • side-by-side good lot vs. bad lot vs. in-between lot comparison

Recommended test equipment

  • calipers / micrometer / thickness gauge
  • scale, ruler, tape, square, straightedge
  • moisture meter and temperature / humidity meter
  • magnifier / inspection light / camera for comparison photos
  • force gauge, peel gauge, spring scale, dyne pens, or compression/crush tester where appropriate

Supplier questions by lot code

Helpful framing: We are trying to determine whether this is isolated to our process or if similar behavior has been seen elsewhere with this lot/material. Can you help us compare this lot against prior accepted lots and check whether any other customers have reported similar behavior?

  • What formulation, material, adhesive, coating, ink, or construction was used for this lot?
  • Did this lot use the same raw materials as the previous accepted lot?
  • Were there any raw-material substitutions or process setting changes?
  • Were there any documented deviations, rework, quality holds, or out-of-family results?
  • What are the certified dimensions, tolerances, and lot-specific test results?
  • What moisture, humidity, temperature, storage, or shipping exposure occurred?
  • Were there changes in ink, coating, surface treatment, release liner, adhesive, tape, glue, or case ingredients?
  • Can you provide a certificate of analysis, inspection report, or lot-specific quality record?
  • How does this lot compare to the prior lot that ran well?
  • Are there storage, acclimation, shelf-life, open-time, or conditioning requirements before use?
  • Can you reach out and see if you have other customers experiencing this or similar issues?
R.E.A.L. communication: No finger pointing. No blame-first language. Evaluate evidence, adjust based on proof, learn from the result, and protect people, production, standards, and relationships.

Recipe / Health Log

Everything is a recipe. Capture the conditions when the process runs good, bad, and in the unstable middle.

Human / Method

People and setup

Shift, operator/team, setup method, changeover notes, inspection method, adjustment values, cleaning, loading, and workarounds.

Material / Machine

Lot and equipment

SKU, lot code, supplier, machine settings, tooling, speed, guides, sensors, pressure, temperature, timing, and machine condition.

Atmosphere / Outcome

Conditions and result

Humidity, moisture, temperature, dust, static, storage, quality result, reject rate, corrective action, and whether the condition improved.

A.I.R.O.N. reminder: the manual Recipe / Health Log teaches the user what A.I.R.O.N. captures automatically: conditions, context, timing, material, method, atmosphere, and outcome — so learning does not disappear.

Common Mistakes

  • Blaming sensors before checking product position and surface.
  • Adjusting guides around one bad lot and hurting the next good lot.
  • Assuming a supplier part number means the material behaves the same.
  • Ignoring center of gravity, fill level, stiffness, and surface condition.

Reverse-Trace / Ghost Busting™ Decision

Use Reverse-Trace Logic Solving™
when a stable, visible logic condition is blocking the machine and a qualified person can go online with the live PLC program in RUN mode.
Use Ghost Busting™
when the failure is intermittent, self-clearing, timing-based, signal-based, lot-based, or disappears before a human can preserve the evidence.

Walt says STOP! - Safety First

Make these checks prior to proceeding.

Stop and follow site procedures when motion, stored energy, pinch points, hot surfaces, adhesives, cutting tools, moving web/film, conveyors, or lockout/tagout requirements are involved. Do not bypass guards, safeties, interlocks, or qualified-person requirements to inspect a product/material issue.

Do not let troubleshooting create a new hazard.

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