Feng, Bo and Jiang, Zhong-Zhong and Fan, Zhi-Ping and Fu, Na (2010) A method for member selection of cross-functional teams using the individual and collaborative performances. European Journal of Operational Research, 203. pp. 652-661. ISSN 0377-2217

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Abstract

The member selection problem is an important aspect of the formation of cross-functional teams (CFTs). Selecting suitable members from a set of candidates will facilitate the successful task accomplishment. In the existing studies of member selection, the individual performance concerning a single candidate is mostly used, whereas the collaborative performance associating with a pair of candidates is overlooked. In this paper, as a solution to this problem, we propose a method for member selection of CFTs, where both the individual performance of candidates and the collaborative performance between candidates are considered. In order to select the desired members, firstly, a multi-objective 0–1 programming model is built using the individual and collaborative performances, which is an NP-hard problem. To solve the model, we develop an improved nondominated sorting genetic algorithm II (INSGA-II). Furthermore, a real example is employed to illustrate the suitability of the proposed method. Additionally, extensive computational experiments to compare INSGA-II with the nondominated sorting genetic algorithm II (NSGA-II) are conducted and much better performance of INSGA-II is observed.

Item Type:	Article
Additional Information:	The definitive version of this article is available at doi:10.1016/j.ejor.2009.08.017 © 2009 Elsevier B.V
Keywords:	Cross-functional team; Member selection; Individual and collaborative performances; Multi-objective 0–1 programming; Nondominated sorting genetic algorithm II;
Academic Unit:	Faculty of Social Sciences
Item ID:	5697
Identification Number:	https://doi.org/10.1016/j.ejor.2009.08.017
Depositing User:	Na Fu
Date Deposited:	18 Apr 2016 15:56
Journal or Publication Title:	European Journal of Operational Research
Publisher:	Elsevier
Refereed:	Yes
URI:	http://www.sciencedirect.com/science/jou...
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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