Designing reliable supply chain network with disruption risk
Although supply chains disruptions rarely occur, their negative effects are prolonged and severe. In this paper, we propose a reliable capacitated supply chain network design (RSCND) model by considering random disruptions in both distribution centers and suppliers. The proposed model determines the...
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Growing Science
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Online Access: | http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_68.pdf |
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doaj-908d698cd36f4603be48e802dffc3d1b2020-11-24T22:26:07ZengGrowing ScienceInternational Journal of Industrial Engineering Computations1923-29261923-29342013-01-0141111126Designing reliable supply chain network with disruption riskAli Bozorgi AmiriEbrahim TeimoryFateme Bozorgi AtoeiAlthough supply chains disruptions rarely occur, their negative effects are prolonged and severe. In this paper, we propose a reliable capacitated supply chain network design (RSCND) model by considering random disruptions in both distribution centers and suppliers. The proposed model determines the optimal location of distribution centers (DC) with the highest reliability, the best plan to assign customers to opened DCs and assigns opened DCs to suitable suppliers with lowest transportation cost. In this study, random disruption occurs at the location, capacity of the distribution centers (DCs) and suppliers. It is assumed that a disrupted DC and a disrupted supplier may lose a portion of their capacities, and the rest of the disrupted DC's demand can be supplied by other DCs. In addition, we consider shortage in DCs, which can occur in either normal or disruption conditions and DCs, can support each other in such circumstances. Unlike other studies in the extent of literature, we use new approach to model the reliability of DCs; we consider a range of reliability instead of using binary variables. In order to solve the proposed model for real-world instances, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is applied. Preliminary results of testing the proposed model of this paper on several problems with different sizes provide seem to be promising.http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_68.pdfDisruption riskReliabilitySupply chainNetwork design |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ali Bozorgi Amiri Ebrahim Teimory Fateme Bozorgi Atoei |
spellingShingle |
Ali Bozorgi Amiri Ebrahim Teimory Fateme Bozorgi Atoei Designing reliable supply chain network with disruption risk International Journal of Industrial Engineering Computations Disruption risk Reliability Supply chain Network design |
author_facet |
Ali Bozorgi Amiri Ebrahim Teimory Fateme Bozorgi Atoei |
author_sort |
Ali Bozorgi Amiri |
title |
Designing reliable supply chain network with disruption risk |
title_short |
Designing reliable supply chain network with disruption risk |
title_full |
Designing reliable supply chain network with disruption risk |
title_fullStr |
Designing reliable supply chain network with disruption risk |
title_full_unstemmed |
Designing reliable supply chain network with disruption risk |
title_sort |
designing reliable supply chain network with disruption risk |
publisher |
Growing Science |
series |
International Journal of Industrial Engineering Computations |
issn |
1923-2926 1923-2934 |
publishDate |
2013-01-01 |
description |
Although supply chains disruptions rarely occur, their negative effects are prolonged and severe. In this paper, we propose a reliable capacitated supply chain network design (RSCND) model by considering random disruptions in both distribution centers and suppliers. The proposed model determines the optimal location of distribution centers (DC) with the highest reliability, the best plan to assign customers to opened DCs and assigns opened DCs to suitable suppliers with lowest transportation cost. In this study, random disruption occurs at the location, capacity of the distribution centers (DCs) and suppliers. It is assumed that a disrupted DC and a disrupted supplier may lose a portion of their capacities, and the rest of the disrupted DC's demand can be supplied by other DCs. In addition, we consider shortage in DCs, which can occur in either normal or disruption conditions and DCs, can support each other in such circumstances. Unlike other studies in the extent of literature, we use new approach to model the reliability of DCs; we consider a range of reliability instead of using binary variables. In order to solve the proposed model for real-world instances, a Non-dominated Sorting Genetic Algorithm-II (NSGA-II) is applied. Preliminary results of testing the proposed model of this paper on several problems with different sizes provide seem to be promising. |
topic |
Disruption risk Reliability Supply chain Network design |
url |
http://www.growingscience.com/ijiec/Vol3/IJIEC_2012_68.pdf |
work_keys_str_mv |
AT alibozorgiamiri designingreliablesupplychainnetworkwithdisruptionrisk AT ebrahimteimory designingreliablesupplychainnetworkwithdisruptionrisk AT fatemebozorgiatoei designingreliablesupplychainnetworkwithdisruptionrisk |
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