Approach for integrated product variant allocation and configuration adaption of global production networks featuring post-optimality analysis
Approach for integrated product variant allocation and configuration adaption of global production networks featuring post-optimality analysis
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DOI：
10.1080/00207543.2021.1884765
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发表时间：
2021-03
影响因子：
9.2
通讯作者：
J. Hochdörffer;Felix Klenk;Thomas Fusen;B. Häfner;G. Lanza
中科院分区：
文献类型：
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作者：
J. Hochdörffer;Felix Klenk;Thomas Fusen;B. Häfner;G. Lanza
鉴于当今不同细分市场引发的产品需求变化，制造企业在利用其全球生产网络时面临高度复杂性。为了保持竞争力，企业需要通过利用其生产网络的适应性并全面规划其产品分配到生产网络实体来积极应对不断增长的需求动态。本文提出了一种混合整数线性规划（MILP）方法，用于全局生产网络的集成产品变型配置与配置适应问题。进一步的改进潜力的最佳解决方案的识别和评估后的最优性分析，即影子价格和松弛变量的分析进行。这种方法有助于在战略生产网络设计的背景下进行决策。它的应用可以降低不利决策的风险，并支持在复杂的决策问题中确定进一步的改进措施，同时提高决策的透明度。该方法应用于航空工业总装的全球生产网络。
Given today’s demand shift for product variants triggered by different market segments, manufacturing companies are facing high degrees of complexity, when utilising their global production networks. To remain competitive, companies need to prepare proactively for increasing demand dynamics by using the adaptability of their production network and planning their product allocation to production network entities comprehensively. In this paper, a mixed-integer linear programme (MILP) is proposed for the integrated product variant allocation and configuration adaption of global production networks. Further improvement potential for the optimal solution is identified and evaluated by means of post-optimality analysis, i.e. an analysis of shadow prices and slack variables is conducted. This approach contributes towards decision-making in the context of strategic production network design. Its application may reduce the risk of disadvantages decisions and supports the identification of further improvement measures in complex decision-making problems while improving decision transparency. The approach is applied at a global production network for final assembly in the aeronautics industry.