Industry-related risks are increasing due to the growing expansion of industries. Each of these risks can have a natural origin (such as earthquakes, flood, and fire) or human origin (such as terrorist attacks, contagious diseases, and intentional or inadvertent mistakes of staff). In this regards, business Continuity Management (BCM) is a comprehensive method to identify risks and reduce the consequent impacts on the organizations’ activities. Essential aspects of BCM includes retrieval of products after disruptive events and resource allocation. Obviously, in each organization, the fundamental objective is to allocate the least amount of resources for retrieving operations and minimizing costs, as well as, restoring activities to the tolerance threshold, so that the disruptive events do not stop the critical activities. In this paper, a quantitative model is presented to allocate resources in the shortest possible time capable of minimizing the loss of organizations’ resilience and maximizing the Business Continuity Value (BCV), simultaneously. In case of facing disruption, the interaction of disruptive events and reactive actions is an underlying assumption which is also applied in the current proposed model. After solving the model with a numerical experiment, the results of the model were described, and it was found that disruptive events were recovered before the threshold of tolerance. Also, the results of the model were compared in the two following scenarios: (1) without considering the interaction of disruptive events and (2) with considering the interaction of disruptive events, respectively. In the second scenario, it was found that the activities were later retrieved and the possibility of stop activities was a higher amount.

由于行业的不断发展，与行业相关的风险正在增加。这些风险中的每一个都可能是自然原因（例如地震，洪水和火灾）或人为原因（例如恐怖袭击，传染性疾病以及工作人员的有意或无意的错误）。在这方面，业务连续性管理（BCM）是识别风险并减少对组织活动的后续影响的综合方法。BCM的基本方面包括破坏性事件和资源分配后的产品检索。显然，在每个组织中，基本目标是分配最少的资源来检索操作和最小化成本，以及将活动恢复到容忍度阈值，以使破坏性事件不会停止关键活动。在本文中，提出了一种定量模型，可以在最短的时间内分配资源，以最大程度地减少组织的弹性损失并同时最大化业务连续性价值（BCV）。在面临破坏的情况下，破坏性事件和反应性行为的相互作用是一个基本假设，该假设也适用于当前提出的模型。通过数值实验对模型进行求解后，描述了模型的结果，发现破坏性事件在耐受阈值之前得以恢复。此外，在以下两种情况下比较了模型的结果：（1）分别不考虑破坏性事件的相互作用和（2）分别考虑破坏性事件的相互作用。在第二种情况下，