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A Mathematical Modeling approach for Supply Chain Management under Disruption and Operational Uncertainty
  • Marianthi Ierapetritou,
  • Oluwadare Badejo
Marianthi Ierapetritou
University of Delaware

Corresponding Author:mgi@udel.edu

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Oluwadare Badejo
University of Delaware
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Abstract

In this work, we proposed a two-stage stochastic programming model for a four-echelon supply chain problem considering possible disruptions at the nodes (supplier and facilities) as well as the connecting transportation modes and operational uncertainties in form of uncertain demands. The first stage decisions are supplier choice, capacity levels for manufacturing sites and warehouses, inventory levels, transportation modes selection, and shipment decisions for the certain periods, and the second stage anticipates the cost of meeting future demands subject to the first stage decision. Comparing the solution obtained for the two-stage stochastic model with a multi-period deterministic model shows that the stochastic model makes a better first stage decision to hedge against the future demand. This study demonstrates the managerial viability of the proposed model in decision making for supply chain network in which both disruption and operational uncertainties are accounted for.
16 Sep 2022Submitted to AIChE Journal
21 Sep 2022Submission Checks Completed
21 Sep 2022Assigned to Editor
27 Sep 2022Reviewer(s) Assigned
08 Nov 2022Review(s) Completed, Editorial Evaluation Pending
10 Nov 2022Editorial Decision: Revise Major
07 Dec 20221st Revision Received
09 Dec 2022Submission Checks Completed
09 Dec 2022Assigned to Editor
09 Dec 2022Review(s) Completed, Editorial Evaluation Pending
11 Dec 2022Reviewer(s) Assigned
03 Jan 2023Editorial Decision: Accept