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Paper Information

Journal:   PRODUCTION AND OPERATIONS MANAGEMENT   fall 2018-winter 2019 , Volume 9 , Number 2 (17) #p00523; Page(s) 99 To 113.
 
Paper: 

Multi-objective modeling for Member Selection of Cross-functional Teams

 
 
Author(s):  MAHMUDINEJAD ELHAM, AZAR ADEL*, RAJABZADEH ALI, REZAEI PANDARI ABBAS
 
* Faculty of Management and Economic, Tarbiat Modares University, Tehran, Iran
 
Abstract: 
Using cross-functional team (CFT) is a suitable strategy for improving the performance of organizations. The member selection problem is an important aspect of the CFT formation. Several evidences showed the important criteria for choosing true members are: cooperation and coordination, functional expertise, individual abilities, cost, and communication. In this paper, effective features for member selection are identified and a multi-objective 0– 1 nonlinear programming model is developed. This model is developed by using individual and collaborative performance. Afterward, it is converted into the linear form by changing variables to solve it more easily. The proposed model is used in the real example in Census cross-functional team in the statistical center of Iran and required data were collected by surveys and interviews. The results indicate that this proposed model has better performance compared to recommendation of experts and can be used in other fields.
 
Keyword(s): Binary programming,Cross functional teams,member selection,multi objective modeling,working teams
 
References: 
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