Supplier selection model using Taguchi loss function, analytical hierarchy process and multi-choice goal programming

Authors:
Chin-Nung Liao;Hsing-Pei Kao
Affiliations:
Department of Business Administration, China University of Science and Technology, No. 245, Sec. 3, Academia Rd., Nankang, Taipei 115, Taiwan, ROC;Graduate Institute of Industrial Management, National Central University, No.300, Jhongda Rd., Jhongli City, Taoyuan County 320, Taiwan, ROC
Venue:
Computers and Industrial Engineering
Year:
2010

Citing 3
Cited 6

A loss function approach to group preference aggregation in the AHP

Computers and Operations Research
Formulating the multi-segment goal programming

Computers and Industrial Engineering
An approach to group decision-making with uncertain preference ordinals

Computers and Industrial Engineering

A multiobjective-optimization approach for a piloted quality-management system: A comparison of two approaches for a case study

Computers in Industry
Fuzzy analytical hierarchy process and multi-segment goal programming applied to new product segmented under price strategy

Computers and Industrial Engineering
Solving multi-choice linear programming problems by interpolating polynomials

Mathematical and Computer Modelling: An International Journal
A maximizing consensus approach for alternative selection based on uncertain linguistic preference relations

Computers and Industrial Engineering
An integrative supplier selection model using Taguchi loss function, TOPSIS and multi criteria goal programming

Journal of Intelligent Manufacturing
An evaluation approach to logistics service using fuzzy theory, quality function development and goal programming

Computers and Industrial Engineering

Quantified Score

Hi-index	0.00

Visualization

Abstract

In recent years, determining the best supplier has become a key strategic consideration in the competitive market. Since the decision commonly involves evaluating different criteria or attributes, supplier selection process is a multiple criteria decision-making (MCDM) problem. This study integrates the Taguchi loss function, analytical hierarchy process (AHP) and multi-choice goal programming (MCGP) model for solving the supplier selection problem. The advantage of this proposed method is that it allows decision makers to set multiple aspiration levels for the decision criteria. A numerical example of application is also presented.