Paper Info
Title
Designing an integrated AHP based decision support system for supplier selection in automotive industry.
Abstract
AHP applied to decision making of automotive industry supplier selection.Use of AHP in supplier selection gives decision maker confidence of consistency.Sensitivity analysis to check the robustness of the supplier selection decision.Proposed approach divides complex decision making into simpler hierarchy. PurposeThe purpose of this paper is to propose a decision support model for supplier selection based on analytic hierarchy process (AHP) using a case of automotive industry in a developing country of Pakistan and further performs sensitivity analysis to check the robustness of the supplier selection decision. MethodologyThe model starts by identifying the main criteria (price, quality, delivery and service) using literature review and ranking the main criteria based on experts' opinions using AHP. The second stage in the adopted methodology is the identification of sub criteria and ranking them on the basis of main criteria. Lastly perform sensitivity analysis to check the robustness of the decision using Expert Choiceź software. FindingsThe suppliers are selected and ranked based on sub criteria. Sensitivity analysis suggests the effects of changes in the main criteria on the suppliers ranking. The use of AHP in the supplier selection gives the decision maker the confidence of the consistency and the robustness throughout the process. Practical implicationsThe AHP methodology adopted in this study provides managers in automotive industry in Pakistan with the insights of the various factors that need to be considered while selecting suppliers for their organizations. The selected approach also aids them in prioritizing the criterion. Managers can utilize the hierarchical structure of adopted supplier selection methodology suggested in this study to rank the suppliers on the basis of various factors/criteria. Originality/valueThis study makes three novel contributions in supplier selection area. First, AHP is applied to automotive industry and use of AHP in the supplier selection gives decision maker the confidence of the consistency. Second, sensitivity analysis enables in understanding the effects of changes in the main criteria on the suppliers ranking and help decision maker to check the robustness throughout the process. Last, we find it important to come with a simple methodology for managers of automotive industry so that they can select the best suppliers. Moreover, this approach will also help managers in dividing the complex decision making problem into simpler hierarchy.
Year
DOI
Venue
2016
10.1016/j.eswa.2016.06.030
Expert Syst. Appl.
Keywords
Field
DocType
Supplier selection,Analytic hierarchy process (AHP),Supply chain management,Multi-criteria decision making (MCDM),Sensitivity analysis,Decision support system
Ranking,Supplier relationship management,Computer science,Decision support system,Operations research,Robustness (computer science),Supply chain management,Artificial intelligence,Hierarchy,Machine learning,Analytic hierarchy process,Automotive industry
Journal
Volume
Issue
ISSN
62
C
0957-4174
Citations 
PageRank 
References 
19
0.77
12
Authors
4
Name
Order
Citations
PageRank
Fikri Dweiri1392.95
Sameer Kumar218422.82
Sharfuddin Ahmed Khan3212.18
Vipul Jain430226.98