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.
Highlights
Chain Management (SCM) is a respected area today, as future competition in the field of business will be based on Supply Chains (SC) system rather than individual enterprises (Rice and Hoppe, 2001)
The results show that the final structure is much leaner than both Fat Supply Chain (FSC) and Lean Supply Chain (LSC), which are leaned by Functional tools
The paper presents in detail one new quantitative framework to optimise the design of LSC by MetaHeuristics through three main stages: Forming the FSC model; transforming the FSC into LSC; and optimizing the Lean Supply Chain Design (LSCD) with priority-based Genetic Algorithm (pGA)
Summary
Chain Management (SCM) is a respected area today, as future competition in the field of business will be based on Supply Chains (SC) system rather than individual enterprises (Rice and Hoppe, 2001). The Lean Supply Chain (LSC) is assessed as an “ideal SC” (Srinivasan, 2012) since it can promptly and economically deliver the final products/services to customers in a seamless manner. Numerous Meta-Heuristics (MH) which are improved from heuristics, have proven effective in resolving SCD issues. Inspired by such attractions, we introduce in this study a new quantitative strategy to design LSC by MH. The forthcoming sections in this study are organized into as followings: Literature review; new strategic framework of the Lean Supply Chain Design (LSCD), including the FSC formation, LSC transformation and its optimization by priority-based Genetic Algorithm (pGA); a numerical example; and conclusion
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