An integrated Fuzzy ANP-MOP approach for partner selection problem and order allocation optimization: The case of virtual enterprise configuration

Abstract

Virtual networked enterprises have become a necessity for organizations to integrate better with the highly competitive markets in the 21st century. Virtual Enterprise (VE) depends on the performance of its members. Hence, the development of an effective methodology for the evaluation and selection of the suitable partners is a crucial issue toward forming a successful VE. The aim of this paper is to address the partner selection problem and order allocation optimization for the VE creation from Virtual organizations Breeding Environments (VBE) to respond to a specific Business Opportunity (BO). In this context, an exhaustive list of evaluation criteria is identified. A two-stage methodic approach is also proposed to make an objective evaluation for selecting the suitable partners of a VE with considering the BO requirements. In the first stage, a fuzzy analytical network process is used to determine the weights of the partner evaluation criteria. In the second stage, the obtained criteria weights are incorporated into a multi-objective programming model, which is solved using Weighted Sum Method to identify the appropriate VE configuration. Two illustrative examples artificially designed as well as a real case study from a network in textile sector are presented to demonstrate the effectiveness of the developed approach.