A generalized model in presence undesirable factors

Developing a Data Envelopment Analysis Methodology for Supplier Selection in the Presence of Fuzzy Undesirable Factors

Estimating Returns to Scale in the Presence of Undesirable Factors in Data Envelopment Analysis

This research identifies returns to scale (RTS) of efficient decision making units (DMUs) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new DEA (data envelopment analysis) approach. In this study, we first introduce a new input-output oriented model to determine efficient DMUs in the presence of undesirable factors and then, returns to scale of these DMUs are es...

Cost Efficiency of Closed–Loop Supply Chain in the Presence of Dual-Role and Undesirable Factors

Supply chain management is essential for the success of firms and customer satisfaction. In addition, a suitable performance evaluation system is vital to the effective management of the supply chain. Due to the importance of cost management in the supply chain, an approach based on Data Envelopment Analysis (DEA) is proposed in the current study for evaluating the cost efficiency of closed-loo...

Balanced evaluation of suppliers performance by applying a hybrid DEMATEL-DEA approach in presence of undesirable factors

One of the most complicated decision making problems for managers in supply chain is the evaluation of supply chain performance which can be done in different ways. Though several studies have been developed on supply chain performance evaluation based on balanced scorecard (BSC), a few studies focused on relationships among four perspectives of BSC. This paper focuses on these relationships, e...

developing a data envelopment analysis methodology for supplier selection in the presence of fuzzy undesirable factors

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