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Integrated supply chain design models: a survey and future research directions

max Shen, Zuo-Jun, ,Department of Industrial Engineering & Operations Research, University of California, Berkeley, CA 94720·2007·Journal of Industrial & Management Optimization

Abstract

Optimization models, especially nonlinear optimization models,have been widely used to solve integrated supply chain designproblems. In integrated supply chain design, the decision makerneeds to take into consideration inventory costs and distributioncosts when the number and locations of the facilities aredetermined. The objective is to minimize the total cost thatincludes location costs and inventory costs at the facilities, anddistribution costs in the supply chain. We provide a survey ofrecent developments in this research area.

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Metadata

Authors
max Shen, Z.-J., & D. O. I. E. &. O. R.
Venue
Journal of Industrial & Management Optimization
Published
2007
Volume
3
Issue
1
Pages
1-27
ISSN
  • 1547-5816 (ISSN-L)
  • 1553-166X
OpenAlex
W2151802896
Cited by
274
References
0
FWCI
22.43
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Integrated supply chain design models: a survey and future research directions. https://app.cochat.ai/papers/10.3934/jimo.2007.3.1
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max Shen, Z.-J., & D. O. I. E. &. O. R. (2007). Integrated supply chain design models: a survey and future research directions. Journal of Industrial & Management Optimization. https://doi.org/10.3934/jimo.2007.3.1

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.