Virtual networked enterprises have become a necessity for organizations to integrate better with the highly competitive markets in the 21st century. Virtual Enterprise (VE) depends on the performance of its members. Hence, the development of an effective methodology for the evaluation and selection of the suitable partners is a crucial issue toward forming a successful VE. The aim of this paper is to address the partner selection problem and order allocation optimization for the VE creation from Virtual organizations Breeding Environments (VBE) to respond to a specific Business Opportunity (BO). In this context, an exhaustive list of evaluation criteria is identified. A two-stage methodic approach is also proposed to make an objective evaluation for selecting the suitable partners of a VE with considering the BO requirements. In the first stage, a fuzzy analytical network process is used to determine the weights of the partner evaluation criteria. In the second stage, the obtained criteria weights are incorporated into a multi-objective programming model, which is solved using Weighted Sum Method to identify the appropriate VE configuration. Two illustrative examples artificially designed as well as a real case study from a network in textile sector are presented to demonstrate the effectiveness of the developed approach.
Accepté le :
DOI : 10.1051/ro/2018047
Mots-clés : Virtual Enterprise, partner selection, order allocation, Fuzzy ANP, multi-objective programming
@article{RO_2019__53_1_223_0,
author = {Ben Salah, Souhir and Ben Yahia, Wafa and Ayadi, Omar and Masmoudi, Faouzi},
title = {An integrated {Fuzzy} {ANP-MOP} approach for partner selection problem and order allocation optimization: {The} case of virtual enterprise configuration},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {223--241},
publisher = {EDP-Sciences},
volume = {53},
number = {1},
year = {2019},
doi = {10.1051/ro/2018047},
zbl = {1414.90180},
mrnumber = {3911630},
language = {en},
url = {http://www.numdam.org/articles/10.1051/ro/2018047/}
}
TY - JOUR AU - Ben Salah, Souhir AU - Ben Yahia, Wafa AU - Ayadi, Omar AU - Masmoudi, Faouzi TI - An integrated Fuzzy ANP-MOP approach for partner selection problem and order allocation optimization: The case of virtual enterprise configuration JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2019 SP - 223 EP - 241 VL - 53 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2018047/ DO - 10.1051/ro/2018047 LA - en ID - RO_2019__53_1_223_0 ER -
%0 Journal Article %A Ben Salah, Souhir %A Ben Yahia, Wafa %A Ayadi, Omar %A Masmoudi, Faouzi %T An integrated Fuzzy ANP-MOP approach for partner selection problem and order allocation optimization: The case of virtual enterprise configuration %J RAIRO - Operations Research - Recherche Opérationnelle %D 2019 %P 223-241 %V 53 %N 1 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2018047/ %R 10.1051/ro/2018047 %G en %F RO_2019__53_1_223_0
Ben Salah, Souhir; Ben Yahia, Wafa; Ayadi, Omar; Masmoudi, Faouzi. An integrated Fuzzy ANP-MOP approach for partner selection problem and order allocation optimization: The case of virtual enterprise configuration. RAIRO - Operations Research - Recherche Opérationnelle, Tome 53 (2019) no. 1, pp. 223-241. doi : 10.1051/ro/2018047. http://www.numdam.org/articles/10.1051/ro/2018047/
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