Open AccessMulti-Objective Decision-Making In Supplier Selection: An Application Of Visual Interactive Goal Programming
Author(s) -
Birsen Karpak,
Rammahan R. Kasuganti,
Erdoğan Kumcu
Publication year - 2011
Publication title -
journal of applied business research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.149
H-Index - 22
eISSN - 2157-8834
pISSN - 0892-7626
DOI - 10.19030/jabr.v15i2.5679
Subject(s) - purchasing , selection (genetic algorithm) , computer science , vendor , operations research , goal programming , product (mathematics) , supply chain , supplier relationship management , supply chain management , operations management , business , marketing , economics , engineering , machine learning , geometry , mathematics
Supplier selection by purchasing teams in a supply chain management environment is inherently a multi-objective problem. The authors discuss one of the multiple criteria decision support systems; Visual Interactive Goal Programming (VIG), to assist purchasing teams in their vendor selection decisions. VIG is based on a multi-criteria technique known as Pareto Race. Two examples illustrate the application of VIG in different multi-objective supplier selection environments. The first example demonstrates the allocation of a single product among multiple vendors, while the second example focuses on a multiple-replenishment purchasing problem in selecting supplier and allocating orders among them. The authors conclude with a discussion of VIGs benefits and limitations.