Zidi Slim, Hamani Nadia, Kermad Lyes
QUARTZ Laboratory, University of Paris 8, 140 Rue de la Nouvelle France, Montreuil, France.
Innovative Technologies Laboratory, University of Picardie Jules Verne, 48 Rue d'Ostende, 02100 Saint-Quentin, France.
Int J Adv Manuf Technol. 2022;120(5-6):3027-3043. doi: 10.1007/s00170-022-08851-8. Epub 2022 Mar 1.
The reconfiguration of supply chain is becoming a crucial concept used to deal with market disruptions and changes such as the COVID-19 pandemic, demand uncertainty, and new technologies. It can be defined as the ability of the supply chain to change its structure and functions in order to adapt to new changes. Its assessment requires an understanding of its quantitative factors to provide indicators that are easy to interpret. Effective reconfigurability assessment can be achieved by measuring quantitatively its six characteristics (modularity, integrability, convertibility, diagnosability, scalability, and customization). This paper aims at identifying the quantitative factors of each characteristic and their inter-relationships by using Total Interpretive Structural Modelling (TISM). The structural model obtained by TISM is applied to understand the dependency quantitative factors. Based on TISM results, a classification of quantitative factors is determined using "Matrice d'Impacts Croisés, Multiplication Appliquée à un Classement" (MICMAC) analysis. This article provides a better understanding of the six characteristics previously mentioned to improve the reconfigurability of supply chains by considering the interactions between their factors. Thus, this analysis helps managers to understand the characteristics that influence the change of the supply chain structure and those that enable changing the supply chain functions in order to optimize the supply chain reconfiguration process.
供应链重构正成为应对市场干扰和变化（如新冠疫情、需求不确定性和新技术）的关键概念。它可被定义为供应链改变其结构和功能以适应新变化的能力。对其评估需要了解其量化因素，以提供易于解读的指标。通过定量衡量其六个特征（模块化、可集成性、可转换性、可诊断性、可扩展性和定制性），可以实现有效的可重构性评估。本文旨在通过使用总解释结构模型（TISM）来识别每个特征的量化因素及其相互关系。通过TISM获得的结构模型用于理解相关的量化因素。基于TISM的结果，使用“交叉影响矩阵乘法应用于分类”（MICMAC）分析确定量化因素的分类。本文通过考虑各因素之间的相互作用，更好地理解了上述六个特征，以提高供应链的可重构性。因此，该分析有助于管理者理解影响供应链结构变化的特征以及那些能够改变供应链功能的特征，从而优化供应链重构过程。
