Please use this identifier to cite or link to this item: https://doi.org/10.1080/00207543.2011.578158
Title: An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises
Authors: Niu, S.H.
Ong, S.K. 
Nee, A.Y.C. 
Keywords: ACO
partner selection
virtual enterprise
Issue Date: 15-Apr-2012
Source: Niu, S.H., Ong, S.K., Nee, A.Y.C. (2012-04-15). An enhanced ant colony optimiser for multi-attribute partner selection in virtual enterprises. International Journal of Production Research 50 (8) : 2286-2303. ScholarBank@NUS Repository. https://doi.org/10.1080/00207543.2011.578158
Abstract: Increasing global competition drives enterprises, especially small and medium-sized enterprises, to collaborate in order to respond faster to customers needs, reduce operating costs, increase capacity, and produce customised products to reach the market quicker. A virtual enterprise (VE) is an important manufacturing paradigm to address this trend in the dynamic global economy. Partner selection is a key issue tightly coupled to the success of a VE coalition, and because of its complexity, it is considered a multi-attribute optimisation problem. In this paper, an enhanced ant colony optimiser (ACO) is proposed to address the partner selection problem. Five attributes (namely, cost, time, quality, reputation, and risk) considering both qualitative and quantitative aspects have been investigated to evaluate the candidate partners. Experiments have been conducted to validate the performance of the enhanced ACO algorithm, and the results show that the enhanced ACO algorithm can produce better results in terms of search accuracy and computing time. © 2012 Copyright Taylor and Francis Group, LLC.
Source Title: International Journal of Production Research
URI: http://scholarbank.nus.edu.sg/handle/10635/59446
ISSN: 00207543
DOI: 10.1080/00207543.2011.578158
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