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Supply chain network design with financial considerations: A comprehensive review

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  • Jahani, Hamed
  • Abbasi, Babak
  • Sheu, Jiuh-Biing
  • Klibi, Walid

Abstract

Supply chain network design (SCND) is a large and growing area of research. Although SCND has a remarkable effect on companies’ main financial accounts, our examination reveals that most of the models only investigate roughly the costs and revenues related to the design project and neglect other significant financial factors linked to its future performance. This study carries out a comprehensive survey of SCND articles published from 2008 to 2021 by systematically selecting 689 journal papers and exploring their types, paradigms, modelling methods, and uncertainty factors, with special attention to financial considerations. We develop a framework to classify and analyse all these aspects. We also analyse the most recent survey studies related to SCND models, notably facility location problems (FLPs), hub location problems (HLPs), reverse logistics (RL), and closed-loop supply chains (CLSC). Compared to these studies, a broad range of topics is added to the search process. We recommend a framework for detecting and reporting financial perspectives by employing useful concepts, e.g., the duality principle, charts of accounts, and financial statements analysis. We identify several research gaps and offer future research directions such as using specific complementary equations, e.g., depreciation, amortisation, and inventory valuation, to improve the applicability of the SCND models.

Suggested Citation

  • Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
  • Handle: RePEc:eee:ejores:v:312:y:2024:i:3:p:799-839
    DOI: 10.1016/j.ejor.2023.02.033
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    11. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.
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