Research Article Open Access

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

Thi Hong Dang Nguyen1 and Thien My Dao1
  • 1 École de Technologie Supérieure, Canada
American Journal of Engineering and Applied Sciences
Volume 10 No. 1, 2017, 156-164

DOI: https://doi.org/10.3844/ajeassp.2017.156.164

Submitted On: 20 February 2017 Published On: 9 March 2017

How to Cite: Nguyen, T. H. D. & Dao, T. M. (2017). New Strategy to Optimize Lean Supply Chain Design by Meta-Heuristic. American Journal of Engineering and Applied Sciences, 10(1), 156-164. https://doi.org/10.3844/ajeassp.2017.156.164

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.

  • 860 Views
  • 1,005 Downloads
  • 0 Citations

Download

Keywords

  • Lean Supply Chain Design
  • Functional Lean Tools
  • Tier Lean Tools
  • Priority-Based Genetic Algorithm
  • Optimization