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.

Preview

PDF Dao-T-2017-16953.pdf - Published Version Use licence: Creative Commons CC BY. Download (457kB) | Preview

Abstract

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.

Item Type:	Peer reviewed article published in a journal
Professor:	Professor Dao, Thien-My
Affiliation:	Génie mécanique
Date Deposited:	24 Jul 2018 15:27
Last Modified:	17 Dec 2021 15:13
URI:	https://espace2.etsmtl.ca/id/eprint/16953

Actions (login required)

View Item