Supply chain network design is one of the most important strategic decisions that need to be optimized for long-term efficiency. Critical decisions include facility location, inventory, and transportation issues. This study proposes that with a dual-channel supply chain network design model, the traditional location-inventory problem should be extended to consider the vast amount of online customers at the strategic level, since the problem usually involves multiple and conflicting objectives. Therefore, a multi-objective dual-channel supply chain network model involving three conflicting objectives is initially proposed to allow a comprehensive trade-off evaluation. In addition to the typical costs associated with facility operation and transportation, we explicitly consider the pivotal online customer service rate between the distribution centers (DCs) and their assigned customers. This study proposes a heuristic solution scheme to resolve this multi-objective programming problem, by integrating genetic algorithms, a clustering analysis, a Non-dominated Sorting Genetic Algorithm II (NSGA-II), and a Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). Several experiments are simulated to demonstrate the possibility and efficacy of the proposed approach. A scenario analysis is conducted to understand the model’s performance.
Accepté le :
DOI : 10.1051/ro/2016010
Mots-clés : Supply chain network design, location inventory problem, dual channel, multi-objective programming, evolutionary computation
@article{RO_2017__51_1_135_0,
author = {Liao, Shu-Hsien and Hsieh, Chia-Lin and Ho, Wei-Chung},
title = {Multi-objective evolutionary approach for supply chain network design problem within online customer consideration},
journal = {RAIRO - Operations Research - Recherche Op\'erationnelle},
pages = {135--155},
publisher = {EDP-Sciences},
volume = {51},
number = {1},
year = {2017},
doi = {10.1051/ro/2016010},
mrnumber = {3597663},
zbl = {1358.90059},
language = {en},
url = {http://www.numdam.org/articles/10.1051/ro/2016010/}
}
TY - JOUR AU - Liao, Shu-Hsien AU - Hsieh, Chia-Lin AU - Ho, Wei-Chung TI - Multi-objective evolutionary approach for supply chain network design problem within online customer consideration JO - RAIRO - Operations Research - Recherche Opérationnelle PY - 2017 SP - 135 EP - 155 VL - 51 IS - 1 PB - EDP-Sciences UR - http://www.numdam.org/articles/10.1051/ro/2016010/ DO - 10.1051/ro/2016010 LA - en ID - RO_2017__51_1_135_0 ER -
%0 Journal Article %A Liao, Shu-Hsien %A Hsieh, Chia-Lin %A Ho, Wei-Chung %T Multi-objective evolutionary approach for supply chain network design problem within online customer consideration %J RAIRO - Operations Research - Recherche Opérationnelle %D 2017 %P 135-155 %V 51 %N 1 %I EDP-Sciences %U http://www.numdam.org/articles/10.1051/ro/2016010/ %R 10.1051/ro/2016010 %G en %F RO_2017__51_1_135_0
Liao, Shu-Hsien; Hsieh, Chia-Lin; Ho, Wei-Chung. Multi-objective evolutionary approach for supply chain network design problem within online customer consideration. RAIRO - Operations Research - Recherche Opérationnelle, Tome 51 (2017) no. 1, pp. 135-155. doi : 10.1051/ro/2016010. http://www.numdam.org/articles/10.1051/ro/2016010/
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