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New strategy to optimize lean supply chain design by meta-heuristic

Nguyen, Thi Hong Dang et Dao, Thien-My. 2017. « New strategy to optimize lean supply chain design by meta-heuristic ». American Journal of Engineering and Applied Sciences, vol. 10, nº 1. pp. 156-164.

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Résumé

This paper aims at presenting one novel quantitative strategy of optimizing the design of Lean supply chain using Meta-Heuristics. While classifying Lean Manufacturing tools in two categories, namely Functional and Tier Lean tools, we propose a new framework to design the Lean supply chain by implementing the former into a 5-echelon Fat supply chain. As the following step, we investigate the effect of the latter on the mentioned Lean supply chain model. Then, we utilize the tight correlation of Tier Lean tools and priority-based Genetic Algorithm Meta-Heuristics in order to optimize the configuration of the Lean supply chain. Finally, these ideas are illustrated step by step in one numeral example.

Type de document: Article publié dans une revue, révisé par les pairs
Professeur:
Professeur
Dao, Thien-My
Affiliation: Génie mécanique
Date de dépôt: 24 juill. 2018 15:27
Dernière modification: 17 déc. 2021 15:13
URI: https://espace2.etsmtl.ca/id/eprint/16953

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