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Sign in to follow the course Academy › Garment Industry Applications › Applied assessment Applied assessment · Module 10
Applied assessment — Garment Industry Applications Apply DMAIC and Lean tools to realistic end-to-end garment case decisions across cutting, sewing, washing, finishing and delivery.
Every question asks you to decide, judge or calculate from a situation rather than recall a definition. 5 questions, 75 per cent to pass, as many attempts as you like, and your best score is kept on this device. Free, and a self-study assessment rather than an accredited examination.
4 of 5 needed to pass
1. A cutting room reports 78 percent fabric utilization against a target of 85 percent, with marker efficiency flagged as the suspected driver. What is the most appropriate first analytical step? Choose one answer.
Switch to a different fabric supplier without further analysis Immediately purchase new cutting machines Stratify utilization data by marker, fabric width, and style to confirm where the loss actually occurs Increase the cutting team's headcount
2. A sewing line's First-Time-Right rate is 88 percent with a DHU (defects per hundred units) of 18. Management wants to prioritize which defect type to attack first. What should guide the decision? Choose one answer.
Attack defects in alphabetical order of their names A Pareto analysis of defect types by frequency and cost impact Address whichever defect the newest operator reported Rotate through all defect types equally regardless of frequency
3. Washing shade variation between batches is traced to inconsistent water temperature control. Which control-phase action best sustains the fix long term? Choose one answer.
An automated temperature control with an SOP, control chart monitoring, and a documented reaction plan Relying on the supervisor's memory to spot-check occasionally Removing temperature monitoring since the root cause is now known A one-time memo reminding operators to check temperature
4. A finishing line has an OEE of 68 percent, broken down as 88 percent availability, 90 percent performance, and 86 percent quality. Which single lever offers the largest potential percentage-point OEE gain if improved to 95 percent, holding the others constant? Choose one answer.
Improving performance from 90 to 95 percent All three factors would produce an identical OEE gain if each moved to 95 percent Improving availability from 88 to 95 percent, since it is the lowest current factor Improving quality from 86 to 95 percent, since it is the lowest current factor
5. On-time delivery has slipped for three consecutive shipments. A root-cause review finds fabric arriving late, but also finds that WIP between cutting and sewing has grown continually over eight weeks. Which conclusion best fits Little's Law thinking? Choose one answer.
Only the fabric-supplier delay matters; internal WIP levels are irrelevant to delivery dates Rising WIP is unrelated to lead time and can be ignored Rising WIP with a roughly constant exit rate signals a growing lead time, compounding the fabric-delay problem Rising WIP always indicates the exit rate has increased
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