Mistake-proofing in place of inspection, tied to a verified cause and priced for a six-week pilot: the improvement proposal that GM504 sections often assign around Unit 7, complete. Searches like "gm 504 unit 7 assignment example", "gm504 unit 7 sample" and "gm504 unit 7 example" land here.
What a finished GM504 Unit 7 improvement proposal looks like
Eight pages or so in APA format open with a one-paragraph summary a busy owner could act on. The problem statement restates the verified cause in a sentence: stock moves are never recorded, so 15.5 percent of audited bins hold something other than what the system says. Three alternatives are then weighed in a table against cost, speed, and whether each removes the cause or only catches its effects: a second staging checker, retraining pickers, and system-enforced scanning. The recommended package has three parts, directed moves that require a scan out of the old bin and into the new one, pick confirmation that rejects a mismatched barcode, and a cleanup of unit-of-measure errors in the item master for fasteners sold by the box. A pilot plan, a predicted effect and named owners follow.
How a GM504 Unit 7 example is structured
Every element of the proposal is traced back to something the earlier analysis established, through a short cause-to-change table. Directed moves address the unrecorded location changes; pick confirmation addresses the wrong-item bar; the unit-of-measure cleanup addresses most short-quantity errors. The alternatives section explains why the cheapest option, a second checker, is rejected: it is inspection, it catches errors after the pick, and the company has watched one checker disappear under summer volume. Retraining is rejected too, since pickers were already going to the bin the system named. The pilot runs six weeks across the central yard, with a daily twenty-order spot check as a safety net until results hold. Predicted effect is stated as numbers: wrong-item corrections from 52 a month to about 15, short quantities from 41 to about 24, and the overall rate from 5.8 to roughly 3.5 percent.
Cause to change, line by line
A three-row table linking each verified cause to the change that removes it: unrecorded moves to directed moves, wrong product at the pick to barcode confirmation, box-versus-each confusion to a cleaned item master.
Three options, one survives
A second checker, retraining and system-enforced scanning are compared on cost, speed and effect on the cause. Only scanning changes what happens at the bin; the other two act before or after it.
How the scanning works on the floor
A picker scans the bin, then the product; a mismatch locks the line until the right item is scanned. Moving stock requires a scan out and a scan in, which adds about fifteen seconds per move and is costed as such.
Pilot, owners and a prediction
Six weeks across the central yard, owned by the yard operations manager, with the inventory control lead owning the location record. Predicted rate: about 3.5 percent, down from 5.8, stated before the pilot starts.
What could go wrong
Weak wireless coverage in the lumber shed, pickers bypassing scans under time pressure, and item master errors surfacing faster than they can be fixed. Each risk carries a mitigation and a person responsible.
Where marks go in GM504 Unit 7
The commonest loss on an improvement proposal is a recommendation unconnected to the analysis that came before, usually training, a new policy or another approval step. Rubrics in this course tend to reward a visible link from each change back to a verified cause, and a proposal that fixes a problem the analysis never established reads as a guess. Adding inspection is a specific trap: a checker or sign-off catches errors without preventing them, and many graders read it as evidence the writer missed the course's central argument. Proposals also drop credit when the predicted effect is vague, such as fewer errors, because nothing can later be compared against it. Stronger submissions weigh real alternatives, price the chosen option, name an owner for each element and state the result expected before the pilot runs.
Get a GM504 Unit 7 example written to your instructions
Send the cause your analysis established, even roughly, the fix you currently favor, and any budget or technology limits your organization works under, along with the Unit 7 prompt and rubric. Within 24-48h a first proposal comes back free, matched to your section's instructions, with alternatives weighed and the predicted effect stated in numbers.
GM504 Unit 7 questions, answered
Should the proposal include more than one change?
Only where each change addresses a separate verified cause. Bundling unrelated fixes makes it impossible to tell later which one worked, and graders often read a long list as a sign that the analysis did not settle anything. The example proposes three linked changes because the analysis found two causes, and it says which change is expected to move which error type.
What if my organization cannot afford the ideal fix?
Propose what it can afford and be honest about the difference. A cheaper change that still removes the cause, such as a manual move log kept at each aisle, is better than an unfunded ideal. State the tradeoff: the manual version depends on people remembering, so it needs a stronger sustainment plan than a system-enforced one would.
Is mistake-proofing the same as poka-yoke?
Yes. Poka-yoke is the Japanese term associated with Shigeo Shingo and the Toyota Production System, and it covers devices or process designs that make an error impossible or immediately obvious. A barcode scan that refuses the wrong product is a common modern example. Citing Shingo, or a Lean text that discusses his work, strengthens a proposal built on the idea.