Optimal resource allocation model in disaster situations for maximizing the value of operational process resiliency and continuity

Mahnaz Ebrahimi-Sadrabadi, B. Ostadi, Mohammad Mehdi Sepehri, A. H. Kashan
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Abstract

Organizations need to apply resilience and business continuity in industry to protect themselves against the crises and destructive events. Also, the growing expansion of competition in the global market and the increasing crisis in the world have increased the importance of optimal resource allocation. With the optimal resource allocation, huge losses and damages to organizations are prevented. The problem of resource allocation can be raised alongside the criteria of process resilience and continuity. Therefore, organizations change their perspective from focusing solely on reducing vulnerability to increasing resilience and continuity against to accidents in crises and destructive situations. The objective of this paper is proposed a mathematical model for optimal resource allocation with the aim of minimizing the lack of process resilience and maximizing the process continuity. So, the organization can continue to operate with available resources in times of crisis and lack of resources. Also, main activities and processes are not interrupted by crises and destructive events. After solving the model using a case study (textile industry), the results of the model were described and it was found that destructive events were recovered before the tolerance threshold and crisis and destructive events did not interrupt activities and processes.
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灾难情况下的最优资源分配模型,以最大化操作过程弹性和连续性的价值
组织需要在行业中应用弹性和业务连续性,以保护自己免受危机和破坏性事件的影响。此外,全球市场竞争的日益扩大和世界危机的日益加剧也增加了优化资源配置的重要性。通过资源的优化配置,可以避免对组织造成巨大的损失和损害。资源分配的问题可以与流程弹性和连续性的标准一起提出。因此,组织改变了他们的观点,从仅仅关注减少脆弱性到增加应对危机和破坏性情况下事故的弹性和连续性。本文的目标是建立一个以最小化过程弹性缺失和最大化过程连续性为目标的优化资源分配数学模型。因此,在危机和缺乏资源的情况下,组织可以继续利用可用资源运作。此外,主要活动和进程不会因危机和破坏性事件而中断。以纺织工业为例,对模型进行了求解,结果表明,破坏性事件在容忍度阈值之前被恢复,危机和破坏性事件不会中断活动和过程。
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Erratum to: On interval-valued bilevel optimization problems using upper convexificators On the conformability of regular line graphs A new modified bat algorithm for global optimization A multi-stage stochastic programming approach for an inventory-routing problem considering life cycle On characterizations of solution sets of interval-valued quasiconvex programming problems
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