The plant
One plant, around 25 people, building furniture to order. Every product comes together from several parts made in different areas: cut, sewn, quilted and glued components that have to meet at final assembly. If one part is missing, the order waits, however far along the rest of it is.
The starting point
- Only about 60% of orders shipped on time and in full, and getting there took overtime.
- Inventory turned about three times a year, so cash and floor space sat in material and parts.
- Every area could be busy while the orders due to ship were still waiting for one part.
- Only a few people could run some of the steps, so one absence could stall an area.
What we did
- Found the bottleneck and measured it. Output was tracked as units per hour through the constrained step, week by week, against the schedule.
- One schedule, built around that step. A simple scheduling workbook set the order sequence at the bottleneck; every other area worked to feed it.
- Aimed improvement at the bottleneck. The items with the longest cycle time at the constrained step were tackled first, since an hour saved there is an hour gained for the whole plant.
- Re-laid the floor. Staging areas for “today” and “next” work at each station, so the parts for an order meet when it is time to close it.
- Wrote down the basics. Standard processes for receiving material and for handling customer returns.
- Cross-trained the team. A skill matrix across sewing, quilting, gluing, assembly and pack-and-ship, reaching 94.7% of the target skill level.
- Put four numbers on one board. Output through the bottleneck, inventory turns, on time in full (returns included) and skill level, reviewed every week.
The results
- Shipping: the best month in the company’s history, three months after go-live.
- Inventory: cut by about half.
- Inventory turns: from 3.02 to 4.20 a year.
- On time in full: from about 60%, with overtime, to 100%.
Another case study: more output from the same robots, with 40 people short. See all case studies.
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