Six Sigma DMAIC project on order-to-delivery delays
Run a full DMAIC project on late deliveries: charter, measure the baseline, find root causes with data, pilot fixes, and hand over a control plan.
Industry project · for Arvalis Home Appliances, a distributor that ships 9,000 orders a month from one central warehouse
Arvalis Home Appliances sells washing machines, refrigerators and air conditioners to about 1,100 dealers. It promises delivery within 4 days of order. Last quarter the average order-to-delivery time was 6.8 days, and 22% of orders arrived late. Two of its five biggest dealers have threatened to move to a competitor, and the sales team is offering discounts to keep them.
The operations director has asked for a Six Sigma project run properly, because two earlier "quick fixes" (overtime in the warehouse and a new courier for one region) cost money and changed nothing. You will act as the Green Belt on the project.
You have: - an order extract of about 2,000 orders from last quarter, which you will generate in the Measure phase with realistic patterns and stated assumptions: order time, region, product category, payment clearance time, pick start and end, dispatch, carrier, and delivery time; - access, in role-play, to the warehouse manager, credit controller and transport lead, whose views you will record as voice-of-process notes.
You will follow the five DMAIC phases in order: - Define the problem, scope, customers and CTQ in a charter; - Measure the baseline with a check of the data you rely on; - Analyse root causes with Pareto analysis, a cause-and-effect diagram and statistical tests; - Improve with solutions tested in a pilot; - Control with a control plan, control charts and a handover.
Done means a measured reduction in late orders in the pilot, statistical evidence that it is real, a control plan the warehouse can run without you, and a storyboard the director can show the board.
Project charter + measured baseline with data check + root cause analysis + pilot results + control plan with control charts + DMAIC storyboard
Stack: Excel or Google Sheets, Minitab, JASP or Python with scipy, Miro, draw.io or Visio, PowerPoint or Google Slides
- Disciplined DMAIC20
Each phase is completed in order with its standard outputs, and no solution appears before Analyse is done.
- Trustworthy baseline20
The measurement system is checked and the baseline is stated as mean, spread, percentage late and sigma level.
- Evidence-based root causes25
Root causes are confirmed with data and statistical tests, not just listed on a fishbone.
- Proven improvement20
Pilot results show a statistically significant reduction in late orders with the size of the effect stated.
- Sustainable control15
The control plan, charts and owner handover would keep the gain without the project team.
Pass 60% · Merit 75% · Distinction 90%
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