Data‐Driven Rolling Horizon Approach for Dynamic Design of Supply Chain Distribution Networks under Disruption and Demand Uncertainty

ABSTRACT We address the dynamic design of supply chain networks in which the moments of demand distribution function are uncertain and facilities’ availability is stochastic because of possible disruptions. To incorporate the existing stochasticity in our dynamic problem, we develop a multi‐stage st...

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Bibliographic Details
Published in:	Decision sciences Vol. 53; no. 1; pp. 150 - 180
Main Authors:	Fattahi, Mohammad, Govindan, Kannan
Format:	Journal Article
Language:	English
Published:	Atlanta American Institute for Decision Sciences 01.02.2022
Subjects:	Conic optimization Data‐driven rolling horizon approach Decisions Demand Disruption Distribution Distribution functions Distribution management Dynamic supply chain network design Multi‐stage stochastic programming Network design Networks Optimization Risk management Stochastic programming Supply chains Uncertainty
ISSN:	0011-7315, 1540-5915
Online Access:	Get full text
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