Data Envelopment Analyses
Mohammad Afzalinejad; Neda Afzalinejad
Abstract
Purpose: The paper addresses the star network structures with centralized management and provides models for evaluating the performance of such structures. Despite the wide range of applications and importance, such structures have not been studied in data envelopment analysis before.Methodology: The ...
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Purpose: The paper addresses the star network structures with centralized management and provides models for evaluating the performance of such structures. Despite the wide range of applications and importance, such structures have not been studied in data envelopment analysis before.Methodology: The Data Envelopment Analysis (DEA) method is used for modeling the problem, and a two-level method for efficiency evaluation is proposed.Findings: The proposed models are developed in both multiplicative and envelopment forms. The required formulas for efficiency decomposition and benchmarking are provided. Some results are proved by mathematical discussions and numerical experimentation.Originality/Value: The star structure is seen in many real-world applications. A new method for modelling and evaluation of such structures is introduced and established. The proposed technique, discussions and analytical examinations have a significant contribution to the field of data envelopment analysis and its applications.
supply chain management analyzing/modelling
Amir Rahimi; Faranak Hosseinzadeh Saljooghi
Abstract
In recent years, a new approach which has been dominant over operation management is the “supply chain management approach”. Supply chain management has attracted most researchers' attentions in recent years. This is the way to improve the economic, social and environmental performance. Therefore, ...
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In recent years, a new approach which has been dominant over operation management is the “supply chain management approach”. Supply chain management has attracted most researchers' attentions in recent years. This is the way to improve the economic, social and environmental performance. Therefore, the evaluation of SSCM is an important task for all types of organizations. Among the methods of evaluation SSCM, it seems that data envelopment analysis (DEA) is an appropriate approach. Some of decision-making units composed of several sections or stages that make a network of sub-processes. In order to evaluate such units, data envelopment analysis (DEA) is applied. This paper presents two approaches to calculate supply chain management as a network process. In the first approach, we consider the generalization of weighted sum model to calculate efficiency and returns to scale (RTS) of supply chain with two-stage process as single-objective approach. In the second one, we introduce the weighted sum model to calculate efficiency and returns to scale (RTS) of supply chain with two-stage process as multi-minded approach, so we try to make it to be single-objective approach and then calculate the efficiency of its total production process, according to the decision-maker's ideas and interests. In the next section of this paper according to the two above approaches, we determine the percent of returns to scale (RTS) of supply chain. Suggested ideas are used to evaluate the efficiency and returns to scale (RTS) of supply chain in resin production companies.