Data Envelopment Analyses
Javd Gerami
Abstract
One of the most important issues in data envelopment analysis is the determination of the return to scale class of decision-making units. One of the structures of decision-making units is the two-stage network structure. In this research, we obtain the return to scale class of decision-making units with ...
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One of the most important issues in data envelopment analysis is the determination of the return to scale class of decision-making units. One of the structures of decision-making units is the two-stage network structure. In this research, we obtain the return to scale class of decision-making units with two strategies. The first strategy is when each stage performs independently, and the input and output of each stage is important for it, the return to scale class is assigned corresponding to each stage and the overall process with this strategy. In the other case, we define the two-stage network structure as the leader and follower model, and the output of the first step is considered as the input of the second stage, in which case the return to scale class is determined based on the output ratio of each stage to the input of that stage. The second stage output to the first stage input ratio is used to determine the return to scale class of the final process. Determine the relationship between the return to scale class and the first and second stages, and provide sufficient conditions to determine the return to scale class. Finally, we illustrate the proposed approach with a numerical example.
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.