Match Game: Maximizing ROI and Minimizing Inventory
Track
:
Principles of Operations Management
Program Code:
P-4
Date:
Sunday, September 14, 2008
Time:
3:45 PM to 5:00 PM
EST
Location:
Room 2105
SPEAKER
:
Anne Haberkorn, CFPIM, CIRM, CSCP, Lead Supply Chain Solutions Instructor, Fox Valley Technical College
Anne Haberkorn, CFPIM, CIRM, CSCP, Jonah, is lead supply chain solutions instructor at Fox Valley Technical College in Appleton, Wisconsin. Her expertise is in production and inventory control training and lean manufacturing practices. Haberkorn’s past experience includes inventory control manager at OshKosh B’Gosh, logistics analyst at Appleton Papers, and the international finance department of Kimberly Clark. Haberkorn chaired the 2005 APICS International Conference, and most recently, she completed the Wisconsin Development Leadership Program, and was recognized as the APICS Fox Valley Chapter’s 2007 Member of the Year.
SUBMITTER
:
Jim Robison, CFPIM, CPIM, CIRM, Lecturer, Sonoma State University
Jim Robison has held positions as Director of Production Control, Director of Supply Chain, and Materials Manager. He is a past chapter president, winner of the Romey Everdell Award, and co-winner of the Plossl Doctoral Dissertation Competition. He currently teaches operations management, strategy, and statistics at Sonoma State University.
Description
Here, participants will play three iterations of the match game (from "The Goal," by Eliyahu M. Goldratt). The exercise will demonstrate the importance of identifying the system constraint and the means to identify it. Once identified, the constraint can be used to minimize inventory and maximize return on investment. Real data from the audience are used to illustrate learning points and generate discussions. Analysis of the data includes a brief discussion of cost justifying a constraint reduction project. Prior knowledge of the game or the book is not required.
LEARNER OUTCOMES:
Identify constraints (bottlenecks) in a manufacturing or service system
Use the constraint to optimize system throughput
Develop a model that may, or may not, cost-justify improvements to the constraint