Reliable multi period multi product supply chain design with facility disruption

This paper presents a strategic multi segment, multi period and multi-product supply chain management to meet reliable networks for handling disruptions strike. We present a mixed-integer programming model whose objective is to minimize the expected cost composed of probability and cost of occurrenc...

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Main Authors: Mehdi Rafiei, Mohammad Mohammadi, S.A. Torabi
Format: Article
Language:English
Published: Growing Science 2013-04-01
Series:Decision Science Letters
Subjects:
Online Access:http://www.growingscience.com/dsl/Vol2/dsl_2013_10.pdf
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spelling doaj-afd6e2fed27c430d96f29c4015e646b82020-11-24T23:16:51ZengGrowing ScienceDecision Science Letters1929-58041929-58122013-04-0122819410.5267/j.dsl.2013.02.002Reliable multi period multi product supply chain design with facility disruptionMehdi RafieiMohammad MohammadiS.A. TorabiThis paper presents a strategic multi segment, multi period and multi-product supply chain management to meet reliable networks for handling disruptions strike. We present a mixed-integer programming model whose objective is to minimize the expected cost composed of probability and cost of occurrence in each scenario. The proposed model of this paper considers time value of money for each operation and transportation cost. We attempt to minimize expected costs by considering the levels of inventory, back-ordering, the available machine capacity and labor levels for each source, transportation capacity at each transshipment node and available warehouse space at each destination. The problem is generalized by taking into account backup supplier with reserved capacity and backup transshipment node that, which satisfies demands at higher price without disruption facility. We use a priority-based genetic algorithms encoding to solve the proposed problem under multi period and multi product conditions. The performance of the proposed model is examined using some instances.http://www.growingscience.com/dsl/Vol2/dsl_2013_10.pdfFacility disruptionsMetaheuristicsReliable network designMulti period multi product supply chain
collection DOAJ
language English
format Article
sources DOAJ
author Mehdi Rafiei
Mohammad Mohammadi
S.A. Torabi
spellingShingle Mehdi Rafiei
Mohammad Mohammadi
S.A. Torabi
Reliable multi period multi product supply chain design with facility disruption
Decision Science Letters
Facility disruptions
Metaheuristics
Reliable network design
Multi period multi product supply chain
author_facet Mehdi Rafiei
Mohammad Mohammadi
S.A. Torabi
author_sort Mehdi Rafiei
title Reliable multi period multi product supply chain design with facility disruption
title_short Reliable multi period multi product supply chain design with facility disruption
title_full Reliable multi period multi product supply chain design with facility disruption
title_fullStr Reliable multi period multi product supply chain design with facility disruption
title_full_unstemmed Reliable multi period multi product supply chain design with facility disruption
title_sort reliable multi period multi product supply chain design with facility disruption
publisher Growing Science
series Decision Science Letters
issn 1929-5804
1929-5812
publishDate 2013-04-01
description This paper presents a strategic multi segment, multi period and multi-product supply chain management to meet reliable networks for handling disruptions strike. We present a mixed-integer programming model whose objective is to minimize the expected cost composed of probability and cost of occurrence in each scenario. The proposed model of this paper considers time value of money for each operation and transportation cost. We attempt to minimize expected costs by considering the levels of inventory, back-ordering, the available machine capacity and labor levels for each source, transportation capacity at each transshipment node and available warehouse space at each destination. The problem is generalized by taking into account backup supplier with reserved capacity and backup transshipment node that, which satisfies demands at higher price without disruption facility. We use a priority-based genetic algorithms encoding to solve the proposed problem under multi period and multi product conditions. The performance of the proposed model is examined using some instances.
topic Facility disruptions
Metaheuristics
Reliable network design
Multi period multi product supply chain
url http://www.growingscience.com/dsl/Vol2/dsl_2013_10.pdf
work_keys_str_mv AT mehdirafiei reliablemultiperiodmultiproductsupplychaindesignwithfacilitydisruption
AT mohammadmohammadi reliablemultiperiodmultiproductsupplychaindesignwithfacilitydisruption
AT satorabi reliablemultiperiodmultiproductsupplychaindesignwithfacilitydisruption
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