EconPapers    
Economics at your fingertips  
 

A multi-criterion partner selection problem for virtual manufacturing enterprises under uncertainty

Bin Huang, Lihui Bai, Arnab Roy and Ningning Ma

International Journal of Production Economics, 2018, vol. 196, issue C, 68-81

Abstract: We study a partner selection problem for virtual manufacturing enterprises facing an uncertain environment. We propose a new method of using the grey system theory to account for uncertainties in a project's start time, completion time, transportation time, as well as cost. We first develop the concepts of delivery time agreement index and cost agreement index, and then formulate a multi-objective partner selection problem that maximizes the minimum delivery time agreement index, the average delivery time agreement index and the cost agreement index. A chaotic particle swarm optimization (CPSO) algorithm is developed. Extensive computational results show that the proposed CPSO method outperforms the standard PSO in providing quality solutions more reliably.

Keywords: Partner selection; Virtual enterprise; Particle swarm optimization algorithm; Grey environment (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0925527317302773
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:proeco:v:196:y:2018:i:c:p:68-81

DOI: 10.1016/j.ijpe.2017.08.024

Access Statistics for this article

International Journal of Production Economics is currently edited by Stefan Minner

More articles in International Journal of Production Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-19
Handle: RePEc:eee:proeco:v:196:y:2018:i:c:p:68-81