A reactive mitigation approach for managing supply disruption in a three-tier supply chain

Paul, S, Sarker, R and Essam, D 2016, 'A reactive mitigation approach for managing supply disruption in a three-tier supply chain', Journal of Intelligent Manufacturing, pp. 1-17.


Document type: Journal Article
Collection: Journal Articles

Title A reactive mitigation approach for managing supply disruption in a three-tier supply chain
Author(s) Paul, S
Sarker, R
Essam, D
Year 2016
Journal name Journal of Intelligent Manufacturing
Start page 1
End page 17
Total pages 17
Publisher Springer
Abstract In this paper, we develop a quantitative reactive mitigation approach for managing supply disruption for a supply chain. We consider a three-tier supply chain system with multiple raw material suppliers, a single manufacturer and multiple retailers, where the system may face sudden disruption in its raw material supply. First, we develop a mathematical model that generates a recovery plan after the occurrence of a single disruption. Here, the objective is to minimize the total cost during the recovery time window while being subject to supply, capacity, demand, and delivery constraints. We develop an efficient heuristic to solve the model for a single disruption. Second, we also consider multiple disruptions, where a new disruption may or may not affect the recovery plans of earlier disruptions. We also develop a new dynamic mathematical and heuristic approach that is capable of dealing with multiple disruptions, after the occurrence of each disruption as a series, on a real-time basis. We compare the heuristic solutions with those obtained by a standard search algorithm for a set of randomly generated disruption test problems, which shows the consistent performance of our heuristic. Finally, a simulation model is developed to analyze the effect of randomly generated disruption events that are not known in advance. The numerical results and many random experiments are presented to explain the usefulness of the developed models and methodologies.
Subject Logistics and Supply Chain Management
Operations Research
Keyword(s) Supply chain
Supply disruption
Reactive mitigation
Recovery plan
Mathematical model
Quantitative approach
Heuristic
Simulation
DOI - identifier 10.1007/s10845-016-1200-7
Copyright notice © Springer Science+Business Media New York 2016
ISSN 0956-5515
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