Title: Technology selection with both quantitative and qualitative outputs
Authors: A. Alinezhad, A. Makui, M. Zohrehbandian, R. Kiani Mavi
Addresses: Department of Industrial Engineering, Islamic Azad University (IAU)–Science and Research Branch, Tehran, Iran. ' Department of Industrial Engineering, Iran University of Science and Technology, Tehran, Iran. ' Department of Mathematics, Islamic Azad University (IAU)–Karaj Branch, P.O. Box 31485–313, Karaj, Iran. ' Department of Industrial Management, Islamic Azad University (IAU)–Science and Research Branch, Tehran, Iran
Abstract: Technology selection is an important part of the management of technology. To select the best technologies, a practical common-weight Multi-Objective Linear Programming (MOLP) approach with an improved discriminating power is introduced. The proposed MOLP approach enables the evaluation of the relative efficiency of Decision-Making Units (DMUs) with respect to multiple exact and ordinal outputs and a single exact input. Its robustness and discriminating power are illustrated via a previously reported robot evaluation problem by comparing the ranking that is obtained by the proposed MOLP framework with that obtained by the classical Data Envelopment Analysis (DEA) model.
Keywords: technology selection; multi-objective linear programming; MOLP; data envelopment analysis; DEA; common weights; technology management.
International Journal of Procurement Management, 2009 Vol.2 No.1, pp.93 - 103
Published online: 01 Dec 2008 *Full-text access for editors Access for subscribers Purchase this article Comment on this article