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 in | Scientia Iranica. Transaction E, Industrial engineering Vol. 29; no. 1; pp. 387 - 411 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Tehran
Sharif University of Technology
01.01.2022
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Subjects | |
Online Access | Get full text |
DOI | 10.24200/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. |
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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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CitedBy_id | crossref_primary_10_1007_s43069_022_00133_z crossref_primary_10_3934_mbe_2023146 crossref_primary_10_22495_jgrv11i3art7 crossref_primary_10_1007_s10479_023_05779_4 |
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DOI | 10.24200/sci.2020.53691.3366 |
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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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