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A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers

This paper investigates a collaborative scheduling model in the assembly system, wherein multiple suppliers have to deliver their components to the multiple manufacturers under the operation of Supply-Hub. We first develop two different scenarios to examine the impact of Supply-Hub. One is that supp...

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Detalles Bibliográficos
Autores principales: Li, Guo, Lv, Fei, Guan, Xu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032755/
https://www.ncbi.nlm.nih.gov/pubmed/24892104
http://dx.doi.org/10.1155/2014/894573
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author Li, Guo
Lv, Fei
Guan, Xu
author_facet Li, Guo
Lv, Fei
Guan, Xu
author_sort Li, Guo
collection PubMed
description This paper investigates a collaborative scheduling model in the assembly system, wherein multiple suppliers have to deliver their components to the multiple manufacturers under the operation of Supply-Hub. We first develop two different scenarios to examine the impact of Supply-Hub. One is that suppliers and manufacturers make their decisions separately, and the other is that the Supply-Hub makes joint decisions with collaborative scheduling. The results show that our scheduling model with the Supply-Hub is a NP-complete problem, therefore, we propose an auto-adapted differential evolution algorithm to solve this problem. Moreover, we illustrate that the performance of collaborative scheduling by the Supply-Hub is superior to separate decision made by each manufacturer and supplier. Furthermore, we also show that the algorithm proposed has good convergence and reliability, which can be applicable to more complicated supply chain environment.
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spelling pubmed-40327552014-06-02 A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers Li, Guo Lv, Fei Guan, Xu ScientificWorldJournal Research Article This paper investigates a collaborative scheduling model in the assembly system, wherein multiple suppliers have to deliver their components to the multiple manufacturers under the operation of Supply-Hub. We first develop two different scenarios to examine the impact of Supply-Hub. One is that suppliers and manufacturers make their decisions separately, and the other is that the Supply-Hub makes joint decisions with collaborative scheduling. The results show that our scheduling model with the Supply-Hub is a NP-complete problem, therefore, we propose an auto-adapted differential evolution algorithm to solve this problem. Moreover, we illustrate that the performance of collaborative scheduling by the Supply-Hub is superior to separate decision made by each manufacturer and supplier. Furthermore, we also show that the algorithm proposed has good convergence and reliability, which can be applicable to more complicated supply chain environment. Hindawi Publishing Corporation 2014 2014-04-15 /pmc/articles/PMC4032755/ /pubmed/24892104 http://dx.doi.org/10.1155/2014/894573 Text en Copyright © 2014 Guo Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Li, Guo
Lv, Fei
Guan, Xu
A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers
title A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers
title_full A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers
title_fullStr A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers
title_full_unstemmed A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers
title_short A Collaborative Scheduling Model for the Supply-Hub with Multiple Suppliers and Multiple Manufacturers
title_sort collaborative scheduling model for the supply-hub with multiple suppliers and multiple manufacturers
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4032755/
https://www.ncbi.nlm.nih.gov/pubmed/24892104
http://dx.doi.org/10.1155/2014/894573
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