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논문 기본 정보

자료유형
학술저널
저자정보
Mohammad Derakhshi (Sharif University of Technology) Seyed Taghi Akhavan Niaki (Sharif University of Technology) Seyed Armin Akhavan Niaki (West Virginia University)
저널정보
대한산업공학회 Industrial Engineering & Management Systems Industrial Engineering & Management Systems Vol.17 No.3
발행연도
2018.9
수록면
417 - 433 (17page)
DOI
10.7232/iems.2018.17.3.417

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초록· 키워드

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Supply chain management has gained much interest from researchers and practitioners in recent years. Proposing practical models that efficiently address different aspects of the supply chain is a difficult challenge. This research investigates an integrated production-distribution supply chain problem. The developed model incorporates parties with a specified number of processes to obtain raw materials from the suppliers in order to convert them to semi and final products. These products are then distributed through warehouses to end-distributors having uncertain demands. This uncertainty is captured as a dynamic stochastic data process during the planning horizon and is modeled into a multi-stage stochastic mixed integer linear program using a scenario tree approach. For large-size instances, a hybrid exact-approximate algorithm is proposed, where its effectiveness is assessed via several numerical cases. Furthermore, the model is generalized to its bi-objective version by considering the accessibility of the products based on the safety stock policy of the companies involved. In the end, an existing algorithm is combined with the ε-constraint method to obtain an approximate Pareto front.

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ABSTRACT
1. INTRODUCTION
2. LITERATURE REVIEW
3. PROBLEM DESCRIPTION
4. METHODOLOGY
5. SOLUTION METHOD
6. COMPUTATIONAL RESULTS
7. CONCLUSION
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