A hybrid novel approach for evaluation of resiliency and sustainability in construction environment using data envelopment analysis, principal component analysis, and mathematical formulation

This article utilizes balanced score card (BSC) and resilience engineering factors for organizational performance. The methodology involves two stages: in the first stage, we tried to find the efficiency of organization based on previous projects of the organization applying data envelopment analysis (DEA). In order to apply DEA model for organizational assessment, some questionnaires have been spread among managers of the organization. Principal component analysis (PCA) is introduced in the second stage to highlight the shaping factors that influence overall efficiency. Furthermore, a comparison will be made with sensitivity analysis of DEA and PCA results. The results of the comparison highlight the importance of the three categories (BSC, RE, and sustainability) on organizational performance. After identifying the shaping factors and assessing the organization's situation, artificial neural network (ANN) is applied to help us find the success factor (utility) of future projects and a mathematical formulation is presented which helps the decision makers select the best projects considering organizational situation and values. According to results, resilience engineering factors, including flexibility, management commitment, reporting culture, learning, awareness, preparedness, teamwork, redundancy, self-organization, and fault tolerance, are the most shaping and decisive factors in organization efficiency. The importance of RE over environmental factors and the coverage of data made by RE factors indicate that this construction environment devoted a great deal of attention to RE factors.