Published by Goldratt Research Labs on 2019-11-07
1. This model simulates the entire supply chain and highlights the negative impact that demand and supply variability has on operational and financial performance as well as the positive impact on all key performance metrics when switching from PUSH to PULL.
2. In this model, the PULL environment is based on Theory of Constraints' Critical Chain Project Management (CCPM) and Demand-Driven Replenishment with Dynamic Buffer Resizing.
3. In Round 3 simple management rules are changed to improve operational and financial performance of the maintenance depot.
4. In Round 2 variability in both the arrival of airplanes and the supply of parts is introduced and all key performance metrics deteriorate dramatically.
5. In Round 1 the Maintenance Depot is run with no variability in order to create a baseline to compare the impact of changes.
6. 2) How much better can we do if we are willing to change from PUSH to PULL based planning and execution rules.
7. In Round 4 we stop making use of a Min-Max ordering policy and synchronize the Maintenance Depot with the part suppliers.
8. Prioritization of work is based on the percentage buffer penetration.
9. We also dynamically adjust the buffers of the parts based on actual demand.
10. The objective is to see if by simply changing the rules how close can we get to the perfect world results when there was no variability.
11. Work in progress (WIP) is limited and no multitasking is allowed.
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