American Journal of Engineering and Applied Sciences

New Strategy to Optimize Lean Supply Chain Design by Meta-Heuristic

Thi Hong Dang Nguyen and Thien My Dao

DOI : 10.3844/ajeassp.2017.156.164

American Journal of Engineering and Applied Sciences

Volume 10, Issue 1

Pages 156-164

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.

Copyright

© 2017 Thi Hong Dang Nguyen and Thien My Dao. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.