Intelligent Supplier Evaluation Framework for Improving Procurement Decisions Across Manufacturing Organizations Using Multi-Criteria Analysis

Aji Nurrohman (Institut Teknologi Budi Utomo)
Alfry Aristo Jansen Sinlae (Universitas Katolik Widya Mandiri)
Fathan Mubina Dewadi Dewadi (Politeknik Negeri Jakarta)
Sitti Rachmawati Yahya (Universitas Siber Asia)

Journal of Industrial Engineering and Management
Vol 1, No 4 (2023)

Supplier evaluation must balance commercial, operational, and capability considerations before a procurement decision is made. This study analyzes academic evaluation records for 12 suppliers serving an automotive-component factory. Seven criteria are available: price, quality, delivery, flexibility, after-sales service, production capacity, and financial stability. The study uses the supplied analytic-hierarchy-process weights to reproduce the supplier scorecard and rank alternatives through a weighted-sum calculation. Quality has the highest weight (0.25), followed by price (0.20) and delivery (0.18); these three criteria account for 0.63 of the total decision weight. The reported consistency-ratio values range from 0.028 to 0.063. Supplier H ranks first with an AHP-weighted score of 83.99, followed by Supplier F (82.89) and Supplier C (82.32); Supplier K ranks twelfth with 67.15. The source total scores are verified as weighted sums of the seven criterion scores. Although the accompanying documentation describes an AHP-TOPSIS approach, the available data does not include criterion directions, ideal solutions, distance measures, or closeness coefficients. The paper therefore reports a transparent AHP-weight ranking rather than attributing the supplied scores to TOPSIS. The contribution is a reproducible procurement review framework that links criterion priorities, supplier profiles, ranking results, and differentiated follow-up actions without making unsupported performance or causal claims