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Business continuity-inspired resilient supply chain network design

机译:业务连续性启发弹性供应链网络设计

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摘要

Supply chains are prone to several operational and disruption risks. In order to design a resilient supply chain network capable of responding to such potential risks suitably, this paper proposes a novel framework for the business continuity-inspired resilient supply chain network design (BCRSCND) problem, which includes three steps. First, four resilience dimensions including Anticipation, Preparation, Robustness, and Recovery are considered to quantify the resilience score of each facility using a multi-criteria decision-making technique and considering a comprehensive set of resilience strategies. In the second step, the critical processes and their business continuity metrics (which are vital for supply chain continuity), are identified. The outputs of the first two steps provide the inputs of a novel two-stage mixed possibilistic-stochastic programing (TSMPSP) model. The model aims to design a multi-echelon, multi-product resilient supply chain network under both operational and disruption risks. The proposed TSMPSP model allows decision makers to incorporate their risk attitudes into the design process. After converting the original TSMPSP model into the crisp counterpart, several sensitivity analyses are conducted on different features of hypothetical disruptions (i.e. their severity, likelihood and location) and DM's risk attitudes from which useful managerial insights are provided.
机译:供应链容易发生几个运营和中断风险。为了设计一种能够适当地响应这种潜在风险的弹性供应链网络,本文提出了一种新的业务连续性启动弹性供应链网络设计(BCRSCND)问题的新框架,包括三个步骤。首先,四个弹性尺寸包括预期,准备,稳健性和恢复,可以考虑使用多标准决策技术来量化每个设施的恢复性评分,并考虑一套全面的复原战略。在第二步中,确定了关键过程及其业务连续性度量(对供应链连续性至关重要)。前两个步骤的输出提供了一种新型两级混合可能性 - 随机编程(TSMPSP)模型的输入。该模型旨在根据运营和中断风险设计多偏振,多产品弹性供应链网络。拟议的TSMPSP模型允许决策者将其风险态度纳入设计过程。将原始TSMPSP模型转换为清晰的对应物后,在假设中断的不同特征中进行了几种敏感性分析(即,他们的严重程度,可能性和位置)和DM的风险态度提供了有用的管理洞察力。

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