چکیده:
A fundamental problem is the use of DEA in multistep or multilevel processes such as supply chain, lack of attention to processes’ internal communications in a way that the recent studies on DEA in the context of serial processes have focused on closed systems that the outputs of one level become the inputs of the next level and none of the inputs enter the mediator process. The present study aimed to examine the general dimensions of an open multilevel process. Here, some of the data such as inputs and outputs are supposed to leave the system while other outputs turn into the inputs of the next level. The new inputs can enter the next level as well. We expand this mode for network structures. The overall performance of such a structure is considered as a weighted average of sectors’ performance or distinct steps. Therefore, this suggested model in this study, not only provides the possibility to evaluate the performance of the entire network, but creates the performance analysis for each of the sub-processes. On the other hand, considering the data with undesirable structure leads to more correct performance estimation. In the real world, all productive processes do not comprise desirable factors. Therefore, presenting a structure that is capable of taking into account the undesirable structure is of crucial importance. In this study, a new model in the DEA by network structure is offered that can analyze the performance considering undesirable factors.
خلاصه ماشینی:
"com Development of Data Envelopment Analysis for the Performance Evaluation of Green Supply Chain with Undesirable Outputs Amir Aminia*, Alireza Alinezhad b, Sadegh Salmanian b a Alghadir institute of higher education, Tabriz, Iran b Faculty of Industrial and Mechanical Engineering, Qazvin branch, Islamic Azad University, Qazvin, Iran Abstract In the conventional and common structure of Data Envelopment Analysis (DEA), Decision-Making Units (DMUs) generally operate as a black box that ignores the inner structures.
In this study, a new model in the DEA by network structure is offered that can analyze the performance considering undesirable factors.
Introduction Data Envelopment Analysis (DEA) is a tool to measure the relative efficiency of decision-making units (DMU) with several inputs and outputs.
In all implemented model in the above mentioned studies based on DEA, it is not possible to introduce a model that is able to evaluate performance in network structure, considering the effect of undesirable effects that have the capability to extend to VRS structure and also consider the effect of intermediate values as well as all subsections in their own structure.
Also, it helps the manager to improve the performance of supply chain by creating change in inputs or outputs of inefficient sub-unit.
Planning in feasible region by two-stage target-setting DEA methods: An application in green supply chain management of public transportation service providers, Transportation Research, 70, 324–338.
A novel network data envelopment analysis model for evaluating green supply chain management, Production Economics, 147 ,544– 554."