A survey of partner selection methodologies for virtual enterprises and development of a goal programming-based approach

Nikghadam S., Sadigh B. L., ÖZBAYOĞLU A. M., ÜNVER H. Ö., KILIÇ S. E.

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, vol.85, pp.1713-1734, 2016 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 85
  • Publication Date: 2016
  • Doi Number: 10.1007/s00170-015-8068-0
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Page Numbers: pp.1713-1734
  • Keywords: Virtual enterprise, Partner selection, Fuzzy AHP, Goal programming, GENETIC ALGORITHM, EVOLUTIONARY ALGORITHM, FRAMEWORK, SEARCH, MODEL, SYSTEM
  • Middle East Technical University Affiliated: Yes


A virtual enterprise (VE) is a platform that enables dynamic collaboration among manufacturers and service providers with complementary capabilities in order to enhance their market competitiveness. The performance of a VE as a system depends highly on the performance of its partner enterprises. Hence, choosing an appropriate methodology for evaluating and selecting partners is a crucial step toward creating a successful VE. In this paper, we begin by presenting an extensive review of articles that address the VE partner selection problem. To fill a significant research gap, we develop a new goal programming (GP)-based approach that can be applied in extreme bidding conditions such as tight delivery timelines for large demand volumes. In this technique, fuzzy analytic hierarchy process (F-AHP) is used to determine customer preferences for four main criteria: proposed unit price, on-time delivery reliability, enterprises' past performance, and service quality. These weights are then incorporated into the GP model to evaluate bidders based on customers' preferences and goals. We present a case study in which we implement the F-AHP-GP technique and verify the model's applicability, as it provides a more flexible platform for matching customers' preferences.