Session Information
2009 APICS International Conference & Expo Global Ability
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Improved Responsiveness with Lean Six Sigma and Simulation (A-4)
Track
:
Lean
Program Code:
P-200
Date:
Sunday, October 4, 2009
Time:
4:00 PM to 5:15 PM
EST
Location:
717A
SPEAKER
:
SUBMITTER
:
Description
This case study will demonstrate how Bayer lean six sigma (LSS) team members used the DMAIC (define-measure-analyze-improve-control) method—supported by digital modeling/discrete event simulation—to quantify and qualify manufacturing process improvements. You will learn how to develop hypotheses to test cause-and-effect relationships, position resources to keep projects moving forward, and bring about accurate evaluation of opportunities to lead the marketplace.
LEARNER OUTCOMES:
- Understand how this team marshaled the resources to move a critical operations improvement project forward Explain to others how the team developed hypotheses to test the manufacturing cause & effect relationships Understand how the tean developed high-level regression equations depicting algorithmic linear cause & effect relationships and leveraged Value Stream Mapping Explain how the team injected new Digital Modeling/Discrete-event simulation and DOE, Design-of-Experiment methods into the Bayer continuous improvement environment to rigorously test every hypothesis in a complex manufacturing environment Leverage Stochastic/Probabilistic techniques to quantify, qualify and sensitize What-If scenarios impacting Y outcomes by modifying X variables such as lead times, customer service, capacity utilization, forecast error, transitions and production lot sizes Evaluate the What-if scenario outcomes and their bottom-line business impacts leveraging Six Sigma Multiple Response Optimization techniques and Curve Fitting routines Develope a plan to move into the Improvement Phase of the DMAIC process leveraging the new Manufacturing Model and DDPM, Demand-driven Predictive Manufacturing approach to drive profitable manufacturing responsiveness
Audio Synchronized to PowerPoint
(Code: P-200)
This session is a part of:
This session is a part of: