I am working on implementing OEE in one of our machines that makes centertubes for automotive oil filters. The steel is rolled and each part number has specific diameter and length. However, the run-rates vary for each part numbers. I am somewhat able to calculate Takt time for each part number based on the standard run-rate. However, the problem for me is to determine Ideal Cycle Time. The machine can run as fast as 65 PPM for one part number while it runs as slow as 13 PPM for some other part number. In this case, what would be the optimal way to calculate Ideal Cycle Time for each part numbers? As you know, Ideal Cycle time is required to calculate Performance Metric of OEE.
If we let the person who’s best at performing the “specify” function handle more of that work, then we may also need to coordinate handoffs between ourselves. Adding the specify-complete column communicates to the team that a work item which was previously in the specify state is now ready to be pulled by anyone who wants to move it to the execute state. Work that is still in the specify state is not eligible to be pulled yet. If the owner of a ticket in the specify state wants to hand it off, he can put it in the complete buffer. If he doesn’t want to hand it off, he can move it directly into the execute state as long as capacity is available. It might be that the execute state is full, and the only eligible work is to pull another ticket from the ready queue into specify.
He serves on the advisory board of a number of technology startups, and has consulted to new and established companies as well as venture capital firms. In 2010, he was named entrepreneur-in-residence at Harvard Business School and is currently an IDEO Fellow. Previously he co-founded and served as CTO of IMVU, his third startup. In 2007, BusinessWeek named him one of the Best Young Entrepreneurs of Tech. In 2009, he was honored with a TechFellow award in the category of Engineering Lean Startup methodology has been written about in The New York Times, The Wall Street Journal, Harvard Business Review,Inc. (where he appeared on the cover), Wired, Fast Company, and countless blogs. He lives in San Francisco.