Enhancing buffer management in theory of constraints replenishment system
This globalised world has seen a growing dispersion of production functions and new emerging markets sprouting out across the globe. Outbound logistics has grown to become a complex network of distribution. Yet, the objectives of a distribution system still remain the sa...
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| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://hdl.handle.net/10356/39690 |
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| 總結: | This globalised world has seen a growing dispersion of production functions and new
emerging markets sprouting out across the globe. Outbound logistics has grown to
become a complex network of distribution. Yet, the objectives of a distribution system
still remain the same – to have the right inventory in the right place at the right time.
A Theory of Constraints (TOC) Replenishment System is one such model to have
emerged over the last decade to confront this complicated issue. It uses a central
warehouse in the factory to aggregate inventory buffers and changes the mode of
operation from push to pull. The solution is powerful, but the TOC methodology of
finding the optimal amount of buffer remains generic at best. In a real world, a TOC
Replenishment System practitioner must give consideration to the stochastic demand
and replenishment lead time.
The Theory of Constraints also proposes a Dynamic Buffer Management (DBM)
approach to complement the Replenishment System. It offers a methodology to
monitoring and adjusting the buffer stock level. DBM is feasible and effective but is
insufficiently rigorous.
This report elucidates on a responsive (s*, S*) methodology to enhance buffer
management in a Replenishment System by proposing a responsive reorder level (s*)
and order-up-to level (S*) to capture customer demand trends. By having a responsive
(s*, S*), a timely adjustment can be made to the buffer stock level to react to changing
customer demand trends. A timely adjustment to the buffer stock level will result in a
lower average inventory level leading to inventory savings and better service level to
achieve higher customer satisfaction.
A case study will demonstrates the feasibility of the proposed (s*, S*) methodology |
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