Supply Chain Flexibility Mathematical Modeling using Goal Programming

Due to the changes in production and market conditions, companies are facing many pressures. One of the ways of confronting with these pressures is the concept of supply chain and increasing its flexibility to satisfy different needs of customers. Despite the importance of supply chain flexibility,...

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Main Authors: Mehrdad Yasaei, Ahmad Jafarnejad
Format: Article
Language:fas
Published: Allameh Tabataba'i University Press 2015-01-01
Series:Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
Subjects:
Online Access:http://jims.atu.ac.ir/article_587_fb3497dba3506ce010e6452ae959b4af.pdf
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spelling doaj-c24dcc4db0dd47cf98fffa0dac3b296e2020-11-24T21:25:01ZfasAllameh Tabataba'i University PressMuṭāli̒āt-i Mudīriyyat-i Ṣan̒atī2251-80292015-01-0112337596Supply Chain Flexibility Mathematical Modeling using Goal ProgrammingMehrdad Yasaei Ahmad JafarnejadDue to the changes in production and market conditions, companies are facing many pressures. One of the ways of confronting with these pressures is the concept of supply chain and increasing its flexibility to satisfy different needs of customers. Despite the importance of supply chain flexibility, lack of appropriate analytical models to explain the relationship between the flexibility in a system and the performance of overall system is still recognized. Therefore, in this study a mathematical model of supply chain flexibility has been presented. This research is applied and of the descriptive research types. This study is done in two phases; dimensions detection and modeling. Identified dimensions in the first phase are labor flexibility, machine flexibility, routing and process flexibility. They are important dimensions for assess each three levels; provide, produce and assemble the entire supply chain. The result of the second phase was the design of a mathematical model for each three levels, separately, but dependent on other levels by objective function. Their limitations are defined by identified dimensions in the first phase. http://jims.atu.ac.ir/article_587_fb3497dba3506ce010e6452ae959b4af.pdf(Supply Chain Flexibility; Mathematical Modeling; Goal Programming
collection DOAJ
language fas
format Article
sources DOAJ
author Mehrdad Yasaei
Ahmad Jafarnejad
spellingShingle Mehrdad Yasaei
Ahmad Jafarnejad
Supply Chain Flexibility Mathematical Modeling using Goal Programming
Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
(Supply Chain Flexibility; Mathematical Modeling; Goal Programming
author_facet Mehrdad Yasaei
Ahmad Jafarnejad
author_sort Mehrdad Yasaei
title Supply Chain Flexibility Mathematical Modeling using Goal Programming
title_short Supply Chain Flexibility Mathematical Modeling using Goal Programming
title_full Supply Chain Flexibility Mathematical Modeling using Goal Programming
title_fullStr Supply Chain Flexibility Mathematical Modeling using Goal Programming
title_full_unstemmed Supply Chain Flexibility Mathematical Modeling using Goal Programming
title_sort supply chain flexibility mathematical modeling using goal programming
publisher Allameh Tabataba'i University Press
series Muṭāli̒āt-i Mudīriyyat-i Ṣan̒atī
issn 2251-8029
publishDate 2015-01-01
description Due to the changes in production and market conditions, companies are facing many pressures. One of the ways of confronting with these pressures is the concept of supply chain and increasing its flexibility to satisfy different needs of customers. Despite the importance of supply chain flexibility, lack of appropriate analytical models to explain the relationship between the flexibility in a system and the performance of overall system is still recognized. Therefore, in this study a mathematical model of supply chain flexibility has been presented. This research is applied and of the descriptive research types. This study is done in two phases; dimensions detection and modeling. Identified dimensions in the first phase are labor flexibility, machine flexibility, routing and process flexibility. They are important dimensions for assess each three levels; provide, produce and assemble the entire supply chain. The result of the second phase was the design of a mathematical model for each three levels, separately, but dependent on other levels by objective function. Their limitations are defined by identified dimensions in the first phase.
topic (Supply Chain Flexibility; Mathematical Modeling; Goal Programming
url http://jims.atu.ac.ir/article_587_fb3497dba3506ce010e6452ae959b4af.pdf
work_keys_str_mv AT mehrdadyasaei supplychainflexibilitymathematicalmodelingusinggoalprogramming
AT ahmadjafarnejad supplychainflexibilitymathematicalmodelingusinggoalprogramming
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