Journal of Industrial Engineering and Management Studies

Abstract In today's world, supply chain discussion or performance evaluation debate is one of the most important issues in any industry. Performance evaluation refers to a set of actions and information that is implemented to increase the level of optimal use of resources and facilities in order to achieve goals in an economical manner combined with efficiency and effectiveness. Generally, the performance management system can be considered as a process of measuring, evaluating and comparing the amount and manner of achieving the desired status and, finally, improving performance. In this research, the efficiency of 7 units of the Iranian Electric Motors company is addressed using data envelopment analysis. To assess the company's efficiency, it has been used some parameters include intermediate cost, manpower costs, depreciation cost, value of outputs and value of data, and two outputs of factor productivity and competitiveness. So, using the data envelopment analysis, the efficiency of the model was obtained and the weighted criteria were calculated by the fuzzy TOPSIS multi-criteria decision-making method. Given that these supply chains are considered as the statistical society of the electromotor industry, and given that the average technical efficiency is 0.584, it can be concluded that the industry faces 0.416 technical inefficiencies, in its turn, it is a high value.

Abstract Rework is one of the factors that always affects and jeopardizes the productivity of construction projects. With the increasing growth of urbanization in recent decades, provision of housing has become one of the most significant problems in Iran. The construction industry is faced with substantial problems, such as high costs of project delivery, poor financial performance, and inability to provide value to customers ahead of schedule. This paper aims to prioritize the reasons behind rework delay in terms of contractor, employer, and third party using the framework proposed in a real case study on the freeway projects in Iran. First, a number of well-known delays in freeway construction projects are considered using available theoretical resources, and then the importance of each of these criteria are identified using the stepwise weight assessment ratio analysis (SWARA) method. Based on the importance obtained by the SWARA method, the contract suspension index with the importance of 0.110 and the weather index with the importance of 0.043 are the most and least important factors in delays due to rework, respectively. Subsequently, by the importance identified, the reasons behind delays due to rework are determined using the weighted aggregated sum product assessment (WASPAS) method. According to the obtained results, the reasons for delays due to rework are prioritized. Based on the obtained results, employer ranks first, contractor ranks second, and the third party ranks third. Finally, a sensitivity analysis is carried out on the importance weights of the factors, and it can be seen that the prioritization of the causes of delays due to rework does not change with the increase in weights of the indicators.