New Framework to Optimize Leagile Supply Chain Design

D. Nguyen, T. Dao
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Abstract

The literature of Leagile supply chain (LASC) is lacking of the concurrence between supply chain (SC) design and product design, and missing the placement of decoupling point (DP) in the SC design. Therefore, the paper aims at presenting a novel framework to optimise LASC design while fulfilling the aforementioned gaps. The first step utilises Lean tools to identify the optimal architecture of product families through the so-called Leagile bill-of-material in product design. This phrase intends to reduce the storage keeping unit of components (leaner) while increasing their combining ability in a wider range of new products (more agile). Meanwhile, the second stage outlines the preliminary configuration of the future supply chain and transforms it into the Lean system. Next, the supplier network of this chain is matched with the product structure. The last step formulates the issue in one mathematical model to define the optimal LASC’s configuration, which includes positioning the best DP in various delivery lead time. In discussing the obtained solutions, the article complements to the theoretical basis by examining the locations of DP corresponding to the product’s complexity. The whole framework is illustrated by one specific example and solved by Priority Generic Algorithm Meta-Heuristic, programed with MATLAB.
优化敏捷供应链设计的新框架
关于敏捷供应链的文献缺乏供应链设计与产品设计之间的一致性,缺少解耦点在供应链设计中的位置。因此,本文旨在提出一个新的框架来优化LASC设计,同时满足上述差距。第一步利用精益工具,通过产品设计中所谓的敏捷物料清单来确定产品族的最佳架构。这个短语旨在减少组件的存储单元(更精简),同时增加它们在更广泛的新产品中的组合能力(更敏捷)。同时,第二阶段勾勒出未来供应链的初步配置,并将其转化为精益系统。接下来,将该链条的供应商网络与产品结构进行匹配。最后一步是在一个数学模型中定义问题,以定义最佳LASC配置,其中包括在不同的交货时间内定位最佳DP。在讨论得到的解时,本文通过检查DP对应于产品复杂性的位置来补充理论基础。通过一个具体实例说明了整个框架,并采用优先级通用算法元启发式求解,并用MATLAB编写程序。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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