SUPPLIER SELECTION OF ANIMAL FEED MANUFACTURER BY APPLYING ANALYTIC HIERARCHY PROCESS
Keywords:
Analytical Hierarchy Process, Supplier, Supplier SelectionAbstract
The purposes of this research are to develop criteria for supplier selection and to prioritize the importance of criteria for supplier selection of animal feed factories by applying the Analytical Hierarchy Process (AHP) technique. The supplier selection was based on eight main criteria: quality, price, on-time and delivery performance, credibility, payment terms and assurance, after-sale service, innovation and technology capability, and environmental management systems. The results revealed that the criteria with the highest to least priority was the quality dimension with the weight value of 0.183, followed by the dimension of price with the weight value of 0.169, the dimension of on-time and delivery performance with the weight value of 0.143, the dimension of credibility with the weight value of 0.126. Then, the weight value of payment terms and assurance dimension was 0.118, the dimension of after-sale service was 0.099, the dimension of innovativeness and technology capability was 0.089, and the last priority was the environmental management system with the weight value of 0.072. The results of the proposed approach show that the application of the Analytical Hierarchy Process helps to make decisions in selecting suppliers for animal feed manufacturers appropriately.
References
Ada, N. (2022). Sustainable supplier selection in agri-food supply Chain management. International Journal of Mathematical, Engineering and Management Sciences,7(1), pp. 115-130.
Bakır, M. & Atalık, Ö. (2021). Application of fuzzy AHP and fuzzy MARCOS approach for the evaluation of e-service quality in the airline industry. Decision Making: Applications in Management and Engineering, 4(1), pp. 127-152.https://doi.org/10.31181/dmame2104127b
Banaeian, N., Mobli, H., Fahimnia, B., Nielsen, I. E. & Omid, M. (2018). Green supplier selection using fuzzy group decision making methods: A case study from the agri-food industry.Computers & Operations Research, 89, pp. 337-347.
Bukhori, S., Sukmawati, D. A. & Eka, Y. W. (2017). Selection of supplier using analytical Hierarchy process: Creating value added in the supply chain agribusiness. In 2017 4th International Conference on Computer Applications and Information Processing Technology (CAIPT) (pp. 1-6). IEEE.
Chatterjee, P. & Stević, Ž. (2019). A two-phase fuzzy AHP-fuzzy TOPSIS model for supplier evaluation in manufacturing environment. Operational Research in Engineering Sciences: Theory and Applications, 2(1), pp. 72-90.
Chonviriyakun, P. & Suraraksa, J. (2023). Developing sustainable supplier selection criteria A case study of an automotive parts manufacturer. RMUTT Global Business and Economics Review, 18(1), pp. 103-123.
Đalić, I., Stević, Ž., Karamasa, C. & Puška, A. (2020). A novel integrated fuzzy PIPRECIA–interval rough SAW model: Green supplier selection. Decision Making: Applications in Management and Engineering, 3(1), pp. 126-145.https://doi.org/10.31181/dmame2003114d
Erdem, Y., Cebi, S. & Ilbahar, E. (2021). A New Approach to Analyze Perceived Design Quality of Mobile Phone Using Fuzzy Hierarchical Conjoint Analysis. In Intelligent and Fuzzy Techniques: Smart and Innovative Solutions: Proceedings of the INFUS 2020
Conference, Istanbul, Turkey, 2020, July 21-23, (pp. 769-778). Springer International