Abstract
This paper promotes an adaptive optimal model and algorithm for the distributed inventory system which includes one plant, m candidate distribution centers and time-varying customers. The inventory control policy (Q,s) is used in the distributed inventory system. First of all, we adopt theory of the weighted graph to build a mathematical model, which can convert general optimal mathematical model of the distributed inventory allocation to the weighted graph optimal model. Secondly, an adaptive optimal algorithm based on Steiner tree theory is presented to solve the mathematical model above. Finally, the results of numerical simulation show that the model and algorithm are effective. We discuss the sensitivity of potential cost reduction to the changes of inventory key parameters, such as demand of customers and the distribution center inventory capacity.
| Original language | English |
|---|---|
| Title of host publication | IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management |
| Pages | 1684-1688 |
| Number of pages | 5 |
| DOIs | |
| State | Published - 2009 |
| Event | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 - Hong Kong, China Duration: 8 Dec 2009 → 11 Dec 2009 |
Publication series
| Name | IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management |
|---|
Conference
| Conference | IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 |
|---|---|
| Country/Territory | China |
| City | Hong Kong |
| Period | 8/12/09 → 11/12/09 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Distributed inventory allocation
- Mathematical model
- Steiner tree theory
- Weighted graph
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