Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain

In this paper, a bi-objective mixed integer programming model is proposed to deal with the production-distribution problem found in a dairy company in Morocco. The supply chain containing three echelons: multi-sites, multi-distribution centers and multi-customers. The model seeks to integrate two co...

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Main Authors: Touil Achraf, Echchatbi Abdelwahed, Charkaoui Abdelkebir
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167006002
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spelling doaj-d54ac5e2b5634188ad139810eab487232021-02-02T04:14:50ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01700600210.1051/matecconf/20167006002matecconf_icmit2016_06002Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply ChainTouil AchrafEchchatbi AbdelwahedCharkaoui AbdelkebirIn this paper, a bi-objective mixed integer programming model is proposed to deal with the production-distribution problem found in a dairy company in Morocco. The supply chain containing three echelons: multi-sites, multi-distribution centers and multi-customers. The model seeks to integrate two conflicting simultaneous objectives: maximizing benefit by considering the shelf life of products and the total cost (quantitative objective), including production, storage, and distribution, as well as maximizing the service level (qualitative objective), which relates to providing satisfactory services to customers. This is subject to several technological constraints that typically arise in the dairy industry, such as sequence-dependent changeover time, machine speed and storage capacity. Due to imprecise aspiration levels of goals, an interactive approach is proposed based on fuzzy goal additive variants to find an efficient compromise solution. Numerical results are reported to demonstrate the efficiency and applicability of the proposed model.http://dx.doi.org/10.1051/matecconf/20167006002
collection DOAJ
language English
format Article
sources DOAJ
author Touil Achraf
Echchatbi Abdelwahed
Charkaoui Abdelkebir
spellingShingle Touil Achraf
Echchatbi Abdelwahed
Charkaoui Abdelkebir
Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain
MATEC Web of Conferences
author_facet Touil Achraf
Echchatbi Abdelwahed
Charkaoui Abdelkebir
author_sort Touil Achraf
title Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain
title_short Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain
title_full Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain
title_fullStr Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain
title_full_unstemmed Fuzzy Goal Programming Approach for Integrating Production and Distribution Problem in Milk Supply Chain
title_sort fuzzy goal programming approach for integrating production and distribution problem in milk supply chain
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description In this paper, a bi-objective mixed integer programming model is proposed to deal with the production-distribution problem found in a dairy company in Morocco. The supply chain containing three echelons: multi-sites, multi-distribution centers and multi-customers. The model seeks to integrate two conflicting simultaneous objectives: maximizing benefit by considering the shelf life of products and the total cost (quantitative objective), including production, storage, and distribution, as well as maximizing the service level (qualitative objective), which relates to providing satisfactory services to customers. This is subject to several technological constraints that typically arise in the dairy industry, such as sequence-dependent changeover time, machine speed and storage capacity. Due to imprecise aspiration levels of goals, an interactive approach is proposed based on fuzzy goal additive variants to find an efficient compromise solution. Numerical results are reported to demonstrate the efficiency and applicability of the proposed model.
url http://dx.doi.org/10.1051/matecconf/20167006002
work_keys_str_mv AT touilachraf fuzzygoalprogrammingapproachforintegratingproductionanddistributionprobleminmilksupplychain
AT echchatbiabdelwahed fuzzygoalprogrammingapproachforintegratingproductionanddistributionprobleminmilksupplychain
AT charkaouiabdelkebir fuzzygoalprogrammingapproachforintegratingproductionanddistributionprobleminmilksupplychain
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