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Robust dynamic schedule coordination control in the supply chain

Authors :
Dmitry Ivanov
Alexandre Dolgui
Boris Sokolov
Department of Business Administration
Berlin School of Economics and Law
Mines Nantes (Mines Nantes)
Institut de Recherche en Communications et en Cybernétique de Nantes (IRCCyN)
Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (EPUN)
Université de Nantes (UN)-Université de Nantes (UN)-PRES Université Nantes Angers Le Mans (UNAM)-Centre National de la Recherche Scientifique (CNRS)
National Research University of Information Technologies, Mechanics and Optics [St. Petersburg] (ITMO)
Saint Petersburg Institute for Informatics and Automation of the RAS (SPIIRAS)
Mines Nantes (Mines Nantes)-École Centrale de Nantes (ECN)-Ecole Polytechnique de l'Université de Nantes (Polytech Nantes)
Source :
Computers & Industrial Engineering, Computers & Industrial Engineering, Elsevier, 2016, 94 (18–31), ⟨10.1016/j.cie.2016.01.009⟩, Computers and Industrial Engineering, Computers and Industrial Engineering, Elsevier, 2016, 94 (18–31), ⟨10.1016/j.cie.2016.01.009⟩
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

We extend the literature by representing the robust coordination approach.We consider disruptions in capacities and supply.The application of attainable sets to supply chain coordination. Coordination plays crucial role in supply chain management. In this paper, we extend the existing body of literature on supply chain coordination by representing a robust schedule coordination approach. A hybrid discrete/continuous flow shop supply chain with job shop processes at each supplier stage is studied. For this purpose, the developed scheduling model comprises operations control (for customer order fulfillment dynamics), channel control (production machine and transportation dynamics), resource control (material supply dynamics), and flow control (processing and shipment dynamics) with multiple objectives. Based on the scheduling model, we introduce a robust analysis of schedule coordination in the presence of disruptions in capacities and supply. The application of attainable sets opens a possibility to analyse schedule coordination dynamics under disruptions. The results provide insights of how to integrate the coordination issues into schedule robustness analysis. We exemplify the developed approach for the case of two-stage supply chain coordination, and derive managerial insights for both considered scheduling problem and application of dynamic control methods to supply chain coordination in general.

Details

Language :
English
ISSN :
03608352
Database :
OpenAIRE
Journal :
Computers & Industrial Engineering, Computers & Industrial Engineering, Elsevier, 2016, 94 (18–31), ⟨10.1016/j.cie.2016.01.009⟩, Computers and Industrial Engineering, Computers and Industrial Engineering, Elsevier, 2016, 94 (18–31), ⟨10.1016/j.cie.2016.01.009⟩
Accession number :
edsair.doi.dedup.....023fae083d42e6e60c6b18c87cfa85d3
Full Text :
https://doi.org/10.1016/j.cie.2016.01.009⟩