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2024 | OriginalPaper | Buchkapitel

A Combination of Analytic Hierarchy Process Method and Machine Learning for Supplier Selection in Supply Chain Management

verfasst von : Thuy Nguyen Thi Thu, Trung Nguyen Chi, Siti Sarah Maidin

Erschienen in: Proceedings of the 4th International Conference on Research in Management and Technovation

Verlag: Springer Nature Singapore

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Abstract

Selecting the right list of supplier is a critical activity in the supply chain management system. The supplier selection process is one of the important decision-making tasks of managers. The supplier selection process is often integrated in the supply chain information system to help businesses make the final choices for a list of the most suitable suppliers for the business. In this work, a combination between AHP method and machine learning is used via proposal framework. This framework is performed with experimental data to show the support managers’ decision making through the short risky list suppliers. This might help each enterprise in the industry having their own suitable suppliers. This framework also makes a transparency of selecting suppliers in the supply chain system in order to create the competitiveness on product prices for businesses in the market.

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Literatur
1.
Zurück zum Zitat Baryannis, G., Dani, S., Validi, S., Antoniou, G.: Decision Support Systems and Artificial Intelligence in Supply Chain Risk Management, in Revisiting Supply Chain Risk. Springer Series in Supply Chain Management, pp. 53–71. Springer (2019) Baryannis, G., Dani, S., Validi, S., Antoniou, G.: Decision Support Systems and Artificial Intelligence in Supply Chain Risk Management, in Revisiting Supply Chain Risk. Springer Series in Supply Chain Management, pp. 53–71. Springer (2019)
2.
Zurück zum Zitat Chai, J., Ngai,W.T.: Decision-making techniques in supplier selection: recent accomplishments and what lies ahead. Expert Syst. Appl. 140 (2020) Chai, J., Ngai,W.T.: Decision-making techniques in supplier selection: recent accomplishments and what lies ahead. Expert Syst. Appl. 140 (2020)
3.
Zurück zum Zitat Constante-Nicolalde, F.-V., Guerra-Terán, P., Pérez-Medina, J.-L.: Fraud prediction in smart supply chains using machine learning techniques. In: Applied Technologies, vol. 1194, pp. 145–159. Springer (2020) Constante-Nicolalde, F.-V., Guerra-Terán, P., Pérez-Medina, J.-L.: Fraud prediction in smart supply chains using machine learning techniques. In: Applied Technologies, vol. 1194, pp. 145–159. Springer (2020)
4.
Zurück zum Zitat Hasan, K., Asil, O., Angappa, G., Ferhan, C.: An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification. Comput. Ind. Eng. 101(C), 599–613 (2016) Hasan, K., Asil, O., Angappa, G., Ferhan, C.: An integrated decision analytic framework of machine learning with multi-criteria decision making for multi-attribute inventory classification. Comput. Ind. Eng. 101(C), 599–613 (2016)
5.
Zurück zum Zitat Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202(1), 16–24 (2010)CrossRef Ho, W., Xu, X., Dey, P.K.: Multi-criteria decision making approaches for supplier evaluation and selection: a literature review. Eur. J. Oper. Res. 202(1), 16–24 (2010)CrossRef
6.
Zurück zum Zitat Lakshmanpriya, C., Sangeetha, N., Lavanpriya, C.: Vendor selection in manufacturing industry using AHP and ANN. SIJ Trans. Ind. Financial Bus. Manage. 1(1), 29–34 (2013) Lakshmanpriya, C., Sangeetha, N., Lavanpriya, C.: Vendor selection in manufacturing industry using AHP and ANN. SIJ Trans. Ind. Financial Bus. Manage. 1(1), 29–34 (2013)
7.
Zurück zum Zitat Mohamed-Iliasse, M., Loubna, B., Abdelaziz, B.: Machine learning in supply chain management: a systematic literature review. Int. J. Supply Oper. Manage. (IJSOM) 9(4), 398–416 (2022) Mohamed-Iliasse, M., Loubna, B., Abdelaziz, B.: Machine learning in supply chain management: a systematic literature review. Int. J. Supply Oper. Manage. (IJSOM) 9(4), 398–416 (2022)
8.
Zurück zum Zitat Nhu-Mai, T.N., Phong, T.H.: Criteria for supplier selection in textile and apparel industry: a case study in Vietnam. J. Asian Finance Econ. Bus. 6(2), 213–221 (2019)CrossRef Nhu-Mai, T.N., Phong, T.H.: Criteria for supplier selection in textile and apparel industry: a case study in Vietnam. J. Asian Finance Econ. Bus. 6(2), 213–221 (2019)CrossRef
9.
Zurück zum Zitat Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)CrossRef Quinlan, J.R.: Induction of decision trees. Mach. Learn. 1(1), 81–106 (1986)CrossRef
10.
Zurück zum Zitat Saaty, T.: The Analytic Hierarchy Process. McGraw-Hill (1980) Saaty, T.: The Analytic Hierarchy Process. McGraw-Hill (1980)
11.
Zurück zum Zitat Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008) Saaty, T.L.: Decision making with the analytic hierarchy process. Int. J. Serv. Sci. 1(1), 83–98 (2008)
12.
Zurück zum Zitat Schroeder, M., Lodemann, S.: A systematic investigation of the integration of machine learning into supply chain risk management. Logistics. 5(3), 62 (2021)CrossRef Schroeder, M., Lodemann, S.: A systematic investigation of the integration of machine learning into supply chain risk management. Logistics. 5(3), 62 (2021)CrossRef
13.
Zurück zum Zitat Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. University of Illinois Press (1949) Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. University of Illinois Press (1949)
14.
Zurück zum Zitat Tang, S., Hakim, N., Khaksar, W., Ariffin, M., Sulaiman, S., Pah, P.: A hybrid method using analytic hierarchical process and artificial neural network for supplier selection. Int. J. Innov. Manage. Technol. 4(1), 109–111 (2013) Tang, S., Hakim, N., Khaksar, W., Ariffin, M., Sulaiman, S., Pah, P.: A hybrid method using analytic hierarchical process and artificial neural network for supplier selection. Int. J. Innov. Manage. Technol. 4(1), 109–111 (2013)
15.
Zurück zum Zitat Tirkolaee, E.B., Sadeghi, S., Mooseloo F.M., Vandchali, H.R., Aeini, S.: Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas. Machine Learning in Sustainable Industrial Development, vol. 2021 (2021) Tirkolaee, E.B., Sadeghi, S., Mooseloo F.M., Vandchali, H.R., Aeini, S.: Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas. Machine Learning in Sustainable Industrial Development, vol. 2021 (2021)
16.
Zurück zum Zitat Velasquez, M., Hester, P.T.: An analysis of multi-criteria decision making methods. Int. J. Oper. Res. 10(2), 56–66 (2013) Velasquez, M., Hester, P.T.: An analysis of multi-criteria decision making methods. Int. J. Oper. Res. 10(2), 56–66 (2013)
Metadaten
Titel
A Combination of Analytic Hierarchy Process Method and Machine Learning for Supplier Selection in Supply Chain Management
verfasst von
Thuy Nguyen Thi Thu
Trung Nguyen Chi
Siti Sarah Maidin
Copyright-Jahr
2024
Verlag
Springer Nature Singapore
DOI
https://doi.org/10.1007/978-981-99-8472-5_5

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