A Software Supplier Risk Classification Method Based on AHP and k-means Clustering

Weiyi Han; Xingjian Han; Pengfei Wang; Wei Liu

doi:10.1145/3800227.3800413

A Software Supplier Risk Classification Method Based on AHP and k-means Clustering

Weiyi Han
, Xingjian Han^*
, Pengfei Wang
, Wei Liu

^*Corresponding author for this work

School of Management, Harbin Institute of Technology
Ministry of Industry and Information Technology
China Electronic Product Reliability and Environmental Testing Research Institute

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Software supply chain risk assessment is a widely studied field in computer science, in which supplier selection is an important aspect. In order to better classify and profile suppliers, this paper proposes a method that integrates the Analytic Hierarchy Process (AHP) and k-means clustering method. The method first establishes a two-level index system for supplier risk. It first applies the Analytic Hierarchy Process (AHP) to calculate Level-1 supplier risk scores, and subsequently uses k-means clustering to classify the suppliers. This method determines the number of clusters based on the predetermined risk level, while utilizing the information of the center point to achieve accurate profiling of suppliers.

Original language	English
Title of host publication	Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025
Publisher	Association for Computing Machinery, Inc
Pages	1217-1222
Number of pages	6
ISBN (Electronic)	9798400718724
DOIs	https://doi.org/10.1145/3800227.3800413
State	Published - 29 Apr 2026
Externally published	Yes
Event	2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025 - Dongguan, China Duration: 12 Dec 2025 → 14 Dec 2025

Publication series

Name	Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025

Conference

Conference	2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025
Country/Territory	China
City	Dongguan
Period	12/12/25 → 14/12/25

Keywords

Analytic Hierarchy Process (AHP)
Risk Assessment
Supplier Selection
k-means Clustering method

Access to Document

10.1145/3800227.3800413

Cite this

Han, W., Han, X., Wang, P., & Liu, W. (2026). A Software Supplier Risk Classification Method Based on AHP and k-means Clustering. In Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025 (pp. 1217-1222). (Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025). Association for Computing Machinery, Inc. https://doi.org/10.1145/3800227.3800413

Han, Weiyi ; Han, Xingjian ; Wang, Pengfei et al. / A Software Supplier Risk Classification Method Based on AHP and k-means Clustering. Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025. Association for Computing Machinery, Inc, 2026. pp. 1217-1222 (Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025).

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title = "A Software Supplier Risk Classification Method Based on AHP and k-means Clustering",

abstract = "Software supply chain risk assessment is a widely studied field in computer science, in which supplier selection is an important aspect. In order to better classify and profile suppliers, this paper proposes a method that integrates the Analytic Hierarchy Process (AHP) and k-means clustering method. The method first establishes a two-level index system for supplier risk. It first applies the Analytic Hierarchy Process (AHP) to calculate Level-1 supplier risk scores, and subsequently uses k-means clustering to classify the suppliers. This method determines the number of clusters based on the predetermined risk level, while utilizing the information of the center point to achieve accurate profiling of suppliers.",

keywords = "Analytic Hierarchy Process (AHP), Risk Assessment, Supplier Selection, k-means Clustering method",

author = "Weiyi Han and Xingjian Han and Pengfei Wang and Wei Liu",

note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s).; 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025 ; Conference date: 12-12-2025 Through 14-12-2025",

year = "2026",

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doi = "10.1145/3800227.3800413",

language = "英语",

series = "Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025",

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Han, W, Han, X, Wang, P & Liu, W 2026, A Software Supplier Risk Classification Method Based on AHP and k-means Clustering. in Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025. Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025, Association for Computing Machinery, Inc, pp. 1217-1222, 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025, Dongguan, China, 12/12/25. https://doi.org/10.1145/3800227.3800413

A Software Supplier Risk Classification Method Based on AHP and k-means Clustering. / Han, Weiyi; Han, Xingjian; Wang, Pengfei et al.
Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025. Association for Computing Machinery, Inc, 2026. p. 1217-1222 (Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Software Supplier Risk Classification Method Based on AHP and k-means Clustering

AU - Han, Weiyi

AU - Han, Xingjian

AU - Wang, Pengfei

AU - Liu, Wei

PY - 2026/4/29

Y1 - 2026/4/29

N2 - Software supply chain risk assessment is a widely studied field in computer science, in which supplier selection is an important aspect. In order to better classify and profile suppliers, this paper proposes a method that integrates the Analytic Hierarchy Process (AHP) and k-means clustering method. The method first establishes a two-level index system for supplier risk. It first applies the Analytic Hierarchy Process (AHP) to calculate Level-1 supplier risk scores, and subsequently uses k-means clustering to classify the suppliers. This method determines the number of clusters based on the predetermined risk level, while utilizing the information of the center point to achieve accurate profiling of suppliers.

AB - Software supply chain risk assessment is a widely studied field in computer science, in which supplier selection is an important aspect. In order to better classify and profile suppliers, this paper proposes a method that integrates the Analytic Hierarchy Process (AHP) and k-means clustering method. The method first establishes a two-level index system for supplier risk. It first applies the Analytic Hierarchy Process (AHP) to calculate Level-1 supplier risk scores, and subsequently uses k-means clustering to classify the suppliers. This method determines the number of clusters based on the predetermined risk level, while utilizing the information of the center point to achieve accurate profiling of suppliers.

KW - Analytic Hierarchy Process (AHP)

KW - Risk Assessment

KW - Supplier Selection

KW - k-means Clustering method

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DO - 10.1145/3800227.3800413

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T3 - Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025

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BT - Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025

PB - Association for Computing Machinery, Inc

T2 - 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025

Y2 - 12 December 2025 through 14 December 2025

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Han W, Han X, Wang P, Liu W. A Software Supplier Risk Classification Method Based on AHP and k-means Clustering. In Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025. Association for Computing Machinery, Inc. 2026. p. 1217-1222. (Proceedings of 2025 5th International Conference on Big Data, Artificial Intelligence and Risk Management, ICBAR 2025). doi: 10.1145/3800227.3800413

A Software Supplier Risk Classification Method Based on AHP and k-means Clustering

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