Today’s business environments are prone to high levels of uncertainties and risks because the speed of changes is too high. Hence, the way of dealing with threats has changed. Complex socio-technical systems (CSSs) are confronted with out-of-control disturbances that need risk management systems to be applied. Risk management is organized activities to monitor and control risks in CSSs. Newly, resilience engineering (RE) as a safety management discipline has been expanded to change the attitude to risks. RE is defined as the capability of a system to absorb disturbances and adapt to rapidly changing conditions. Process industries as CSS, are potentially disposed to catastrophic events such as explosions, toxic leakages, stoppages of production operations, etc. In this paper, a novel RE-based algorithm is developed to measure the efficiency of process industries for preventing and reducing disorders considering their high-level of uncertainty. To do this, firstly, resilience indices in an oil refinery as an essential process industry are extracted. Then, using type-2 fuzzy data envelopment analysis (DEA), a new multi-objective approach is presented to evaluate the efficiency of DMUs from the perspective of RE. Interval type-2 fuzzy sets (IT2 FSs) is used in this approach because they potentially hold more implication than the classical type-1 fuzzy sets (T1 FSs). As a case study, a refinery as a CSS is evaluated. Using the proposed algorithm shows the efficiency scores of DMUs in the refinery. By conducting a comparative analysis, it was revealed that the proposed model outperforms classical methods. The results of the proposed approach show that besides simplicity, there is good stability to consider the criteria of RE in efficiency measurement with IT2 FSs.

由于变更速度太快，因此当今的业务环境容易出现高度的不确定性和风险。因此，应对威胁的方式已经改变。复杂的社会技术系统（CSS）面临无法控制的干扰，需要应用风险管理系统。风险管理是组织的活动，用于监视和控制CSS中的风险。最近，作为安全管理学科的弹性工程（RE）已得到扩展，以改变对风险的态度。RE被定义为系统吸收干扰并适应快速变化的条件的能力。像CSS这样的过程工业可能会遭受灾难性事件的影响，例如爆炸，有毒物质泄漏，生产运营的中断等。在本文中，考虑到流程行业的高度不确定性，开发了一种新颖的基于RE的算法来衡量流程行业预防和减少障碍的效率。为此，首先要提取炼油厂作为必不可少的加工业的回弹指数。然后，使用类型2模糊数据包络分析（DEA），提出了一种新的多目标方法，从RE的角度评估DMU的效率。在此方法中使用间隔2型模糊集（IT2 FS），因为它们可能比经典的1型模糊集（T1 FS）具有更多的含义。作为案例研究，对作为CSS的精炼厂进行了评估。使用所提出的算法显示了炼油厂中DMU的效率得分。通过进行比较分析，发现所提出的模型优于经典方法。