developing a data envelopment analysis methodology for supplier selection in the presence of fuzzy undesirable factors
چکیده
چکیدهای برای این سند ثبت نشده است.
اسناد مشابه
Fuzzy data envelopment analysis in the presence of undesirable outputs with ideal points
Developing a Data Envelopment Analysis Methodology for Supplier Selection in the Presence of Fuzzy 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 mod
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 mod
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)