a practical common weight scalarizing function approach for technology selection
نویسندگان
چکیده
abstract. a practical common weight scalarizing function methodology with an improved discriminating power for technology selection is introduced. the proposed scalarizing function methodology enables the evaluation of the relative efficiency of decision-making units (dmus) with respect to multiple outputs and a single exact input with common weights. its robustness and discriminating power are illustrated via a previously reported robot evaluation problem by comparing the ranking obtained by the proposed scalarizing function framework with that obtained by the dea classic model (ccr model) and minimax method (karsak & ahiska,2005). because the number of efficient dmus is reduced so discriminating power of our approach is higher than previous approaches and because spearman’s rank correlation between the ranks obtained from our approach and minimax approach is high therefore robustness of our approach is justified.
منابع مشابه
Practical common weights scalarizing function approach for efficiency analysis
A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. For dealing with this difficulty and assessing all the DMUs on the sam...
متن کاملA Practical Common Weight Scaling Function Approach for Technology Selection
A practical common weight scaling function methodology with an improved discriminating power for technology selection is introduced. The proposed scaling function methodology enables the evaluation of the relative efficiency of decision-making units (DMUs) with respect to multiple outputs and a single exact input with common weights. Its robustness and discriminating power are illustrated via a...
متن کاملpractical common weights scalarizing function approach for efficiency analysis
a characteristic of data envelopment analysis (dea) is to allow individual decision making units (dmus) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. this flexibility in selecting the weights, on the other hand, deters the comparison among dmus on a common base. for dealing with this difficulty and assessing all the dmus on the sam...
متن کاملpractical common weights scalarizing function approach for efficiency analysis
a characteristic of data envelopment analysis (dea) is to allow individual decision making units (dmus) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. this flexibility in selecting the weights, on the other hand, deters the comparison among dmus on a common base. for dealing with this difficulty and assessing all the dmus on the sam...
متن کاملA Common Weight Data Envelopment Analysis Approach for Material Selection
Material selection is one of the major problems in manufacturing environments since the improper selected material may lead to fail in the production processes and result in customer dissatisfaction and cost inefficiency. Every material has different properties which should be considered as major criteria during the material selection procedure. Selection criteria could be quantitative or quali...
متن کاملAn MCDM-DEA approach for technology selection
Technology selection is an important part of management of technology. Recently Karsak and Ahiska (2005) proposed a novel common weight multiple criteria decision making (MCDM) methodology for selection of the best Advanced Manufacturing Technology (AMT) candidates based on a number of attributes. However, Amin et al. (2006), by means of a numerical example demonstrated the convergence difficul...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
shiraz journal of system managementجلد ۲، شماره ۴، صفحات ۹۵-۱۰۹
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023