Impact of adopting quick response and agility on supply chain competition with strategic customer behavior

A growing trend towards computerization and competition in supply chains results in uncertainty and quick variability that make the decisions difficult for both levels of retailers and manufacturers. In this paper, two Bi-Level Stackelberg Models (BLSMs) are developed under non- and agile conditions...

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Published inScientia Iranica. Transaction E, Industrial engineering Vol. 29; no. 1; pp. 387 - 411
Main Authors Kaviyani-Charati, M, Ghodsypour, S H, Hajiaghaei-Keshteli, M
Format Journal Article
LanguageEnglish
Published Tehran Sharif University of Technology 01.01.2022
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DOI10.24200/sci.2020.53691.3366

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Abstract A growing trend towards computerization and competition in supply chains results in uncertainty and quick variability that make the decisions difficult for both levels of retailers and manufacturers. In this paper, two Bi-Level Stackelberg Models (BLSMs) are developed under non- and agile conditions in the presence of strategic customers. Our main novelty approach in this paper is to consider both levels competing with each other in a sequential game to determine the optimal production and order quantities and prices with and without agile abilities. In addition, both proposed models are simplified single-level using the Karush-Kuhn-Tucker (KKT) approach. Then, they are remodeled by a Robust Optimization (RO) technique due to existing uncertain parameters. To have a better assessment of the models' efficiency and applicability, they have been implemented in a real case and finally, the results are compared and analyzed.
AbstractList A growing trend towards computerization and competition in supply chains results in uncertainty and quick variability that make the decisions difficult for both levels of retailers and manufacturers. In this paper, two Bi-Level Stackelberg Models (BLSMs) are developed under non- and agile conditions in the presence of strategic customers. Our main novelty approach in this paper is to consider both levels competing with each other in a sequential game to determine the optimal production and order quantities and prices with and without agile abilities. In addition, both proposed models are simplified single-level using the Karush-Kuhn-Tucker (KKT) approach. Then, they are remodeled by a Robust Optimization (RO) technique due to existing uncertain parameters. To have a better assessment of the models' efficiency and applicability, they have been implemented in a real case and finally, the results are compared and analyzed.
Author Ghodsypour, S H
Hajiaghaei-Keshteli, M
Kaviyani-Charati, M
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SubjectTerms Competition
Consumers
Customers
Fashion models
Inventory
Linear programming
Literature reviews
Manufacturers
Optimization
Parameter uncertainty
Retail stores
Sales
Supply chains
Title Impact of adopting quick response and agility on supply chain competition with strategic customer behavior
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