PRACTICAL COMMON WEIGHTS GOAL PROGRAMMING APPROACH FOR TECHNOLOGY SELECTION

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ALINEZHAD A.; KIANI MAVIB R.

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Journal: MATHEMATICAL SCIENCES Year:2009 | Volume:3 | Issue:2 Page(s): 201-212

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Title

PRACTICAL COMMON WEIGHTS GOAL PROGRAMMING APPROACH FOR TECHNOLOGY SELECTION

Author(s)

ALINEZHAD A. | KIANI MAVIB R. | Issue Writer Certificate

Keywords

TECHNOLOGY SELECTION

ROBOT SELECTION

GOAL PROGRAMMING APPROACH

DISCRIMINATING POWER

WEIGHT RESTRICTION

DEA

COMMON SET OF WEIGHTS

Abstract

A practical common weight goal programming methodology with an improved DISCRIMINATING POWER for TECHNOLOGY SELECTION is introduced. The proposed goal programming 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 goal programming framework with that obtained by the DEA classic model (CCR model) and Minimax method (Karsak and Ahiska (2005)).

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APA: Copy

ALINEZHAD, A., & KIANI MAVIB, R.. (2009). PRACTICAL COMMON WEIGHTS GOAL PROGRAMMING APPROACH FOR TECHNOLOGY SELECTION. MATHEMATICAL SCIENCES, 3(2), 201-212. SID. https://sid.ir/paper/322488/en

Vancouver: Copy

ALINEZHAD A., KIANI MAVIB R.. PRACTICAL COMMON WEIGHTS GOAL PROGRAMMING APPROACH FOR TECHNOLOGY SELECTION. MATHEMATICAL SCIENCES[Internet]. 2009;3(2):201-212. Available from: https://sid.ir/paper/322488/en

IEEE: Copy

A. ALINEZHAD, and R. KIANI MAVIB, “PRACTICAL COMMON WEIGHTS GOAL PROGRAMMING APPROACH FOR TECHNOLOGY SELECTION,” MATHEMATICAL SCIENCES, vol. 3, no. 2, pp. 201–212, 2009, [Online]. Available: https://sid.ir/paper/322488/en

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