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Integration of Analytic Network Process and PROMETHEE in Supplier Performance Evaluation Muhammad Alif Ihsan; Annisa Kesy Garside; Rahmad Wisnu Wardana
Jurnal Optimasi Sistem Industri Vol. 21 No. 1 (2022): Published in April 2022
Publisher : The Industrial Engineering Department of Engineering Faculty at Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/josi.v21.n1.p46-54.2022

Abstract

Supplier performance evaluation is one of the important factors in the supply chain because it is one of the company's strategies for increasing customer satisfaction and also maintaining the company's services in meeting consumer demand. This study proposes the integration of the Analytic Network Process (ANP) and the Preference Ranking Organization Method for Enrichment Evaluation (PROMETHEE) to evaluate supplier performance. The integration of the two methods is proposed to obtain more complex assessment results because the combination of the two methods considers various criteria derived from ANP and various preferences from PROMETHEE, so both methods are very good to use instead of using just ANP or PROMETHEE or other methods. ANP exhibit more complex relationships between criteria and levels in the decision hierarchy, while PROMETHEE provides decision-makers with flexible and straightforward outranking to analyze multi-criteria problems. In this study, ANP is used to weight the criteria, and PROMETHEE is used to rank suppliers in evaluating supplier performance. Integrating these two methods provides more objective and accurate results in multi-criteria decision-making. The proposed method is validated by solving an industrial case of supplier evaluation problem using the real data from the skewer industry. Finally, some useful implications for managerial decision-making are discussed.
Determination of Preventive Maintenance Interval Based on Reliability Threshold and Risk-Based Maintenance Gilang Maulana Akbar; Annisa Kesy Garside; Rahmad Wisnu Wardana
Performa: Media Ilmiah Teknik Industri Vol. 25 No. 1 (2026): Performa: Media Ilmiah Teknik Industri
Publisher : Industrial Engineering Study Program, Faculty of Engineering, Universitas Sebelas Maret (UNS)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/performa.v25i1.2769

Abstract

PT. XYZ is a company engaged in sugar production, where the cane cutter machine plays a critical role in shredding sugarcane before extraction. During the milling period from May to November 2023, the machine experienced 31 breakdowns, leading to considerable downtime and increased operational costs. This study determines maintenance intervals using the Risk-Based Maintenance (RBM) approach to assess risk levels and the Cost of Unreliability (COUR) method to quantify financial impacts. The initial RBM analysis identified a monthly risk value of IDR 47,147,150. By implementing scheduled replacement intervals—17 days for the cutting knife, 28 days for the cutting disk, 14 days for the bearing, 31 days for the conveyor, and 26 days for the driving turbine—the Cost of Reliability (COR) was established at IDR 76,700,415/month. Although the planned expenditure increased, it remains within the company's 2% tolerance limit at a 1.66% severity level. Furthermore, the COUR analysis revealed that the potential downtime loss of IDR 238,583,981 far outweighs the preventive investment. These results demonstrate that integrating RBM and COUR methods effectively balances maintenance costs while protecting the company from disproportionate financial losses due to equipment unreliability.