Abstract In recent times, Supply chains are required to undergo the structural changes in order to adapt to the positive events such as Industry 4.0 and negative events such as natural and man-made disasters. Both positive and negative events tend to cause disruptions and affect business operations continuity. Supplier selection, being the critical and foremost activity must ensure that selected suppliers are capable of supporting the organizations against disruptions caused by these events. Hence, supplier selection and order allocation must be restructured considering the dynamics of Industry 4.0 and disaster events to ensure undisrupted flow of materials across supply chain. The paper proposes a multi stage hybrid model for integrated supplier segmentation, selection and order allocation considering risks and disruptions. The suppliers are then evaluated based on set of criteria suitable in Industry 4.0 environment using Data Envelopment Analysis (DEA) and are further prioritized using Fuzzy Analytical Hierarchical Process and Technique for Order of Preference by Similarity to Ideal Solution (FAHP-TOPSIS). The risk associated with each supplier is computed. The paper also proposes a Mixed Integer Program (MIP) as to optimize multi-period, multi item order allocation to suppliers in such a way that overall cost and risk of disruption is simultaneously minimized. In event of any disruption either from supply or demand side, the multi-stage hybrid model tends to reduce its economic impact by allocating emergency orders, thus, ensuring business operations continuity. The proposed multi-stage hybrid model is illustrated using a case of an automobile company.

中文翻译：

---

考虑中断风险和中断技术的供应商选择和订单分配的多阶段混合模型

摘要 近年来，供应链需要进行结构性变革，以适应工业4.0等积极事件和自然灾害和人为灾害等消极事件。正面和负面事件往往会造成中断并影响业务运营的连续性。供应商选择是关键和最重要的活动，必须确保选定的供应商能够支持组织应对这些事件造成的中断。因此，必须考虑到工业 4.0 和灾难事件的动态，重新调整供应商选择和订单分配，以确保整个供应链中的物料流动不受干扰。本文提出了一种考虑风险和中断的集成供应商细分、选择和订单分配的多阶段混合模型。然后使用数据包络分析 (DEA) 根据适用于工业 4.0 环境的一组标准对供应商进行评估，并使用模糊分析分层过程和技术按与理想解决方案的相似性 (FAHP-TOPSIS) 进行优先排序。计算与每个供应商相关的风险。该论文还提出了一个混合整数计划 (MIP)，以优化对供应商的多期、多项目订单分配，同时将总体成本和中断风险降至最低。如果供应或需求方面出现任何中断，多阶段混合模式往往会通过分配紧急订单来减少其经济影响，从而确保业务运营的连续性。使用汽车公司的案例说明了所提出的多级混合动力模型。