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Optimizing Supplier Selection in Indonesia Through Analytical Hierarchy Process (AHP): Mengoptimalkan Pemilihan Pemasok di Indonesia Melalui Proses Hirarki Analitik (AHP) Latif, Mochamad Iqbal; Wahyuning, Hana Catur
Procedia of Engineering and Life Science Vol. 5 (2024): Proceedings of the 7th Seminar Nasional Sains 2024
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/pels.v7i0.1560

Abstract

This study introduces a structured multi-criteria decision-making framework using the Analytical Hierarchy Process (AHP), applied to evaluate suppliers based on quality, price, quantity of supply, and plantation area. Effective supplier selection is crucial for maintaining supply chain efficiency. By employing the Expert Choice 11 software, the AHP method quantitatively assessed each criterion, resulting in a definitive ranking of suppliers. The analysis highlighted the paramount importance of quality in supplier selection, assigning it the highest weight (0.565). The outcomes reveal that a meticulous application of AHP significantly enhances decision-making in supplier selection, suggesting its broader applicability in global supply chain management contexts to improve operational efficacy and resilience. Highlights: Structured Evaluation: The AHP method provides a systematic approach to supplier assessment. Emphasis on Quality: Quality is the dominant criterion in supplier selection with the highest weight. Operational Improvement: Implementing AHP enhances supply chain efficiency and decision accuracy. Keywords: Supplier Selection, Analytical Hierarchy Process, Expert Choice
Risk Priority Determination Using FMEA and AHP Integration: Penentuan Prioritas Risiko Melalui Integrasi FMEA dan AHP Latif, Mochamad Iqbal; Wahyuni, Hana Catur
Indonesian Journal of Innovation Studies Vol. 26 No. 4 (2025): October
Publisher : Universitas Muhammadiyah Sidoarjo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21070/ijins.v26i4.2095

Abstract

General Background: Risk management plays a crucial role in maintaining productivity and operational stability in industrial systems. Specific Background: Many production processes experience failures that lead to decreased performance due to unstructured identification and prioritization of risks. Knowledge Gap: Previous studies often apply Failure Mode and Effect Analysis (FMEA) and Analytical Hierarchy Process (AHP) separately, limiting the ability to systematically determine risk priorities. Aims: This study aims to identify potential failures, assess risk levels, and determine priority mitigation strategies using an integrated FMEA and AHP approach. Results: The analysis identified multiple failure modes with varying Risk Priority Number values, where dominant risks were determined through severity, occurrence, and detection criteria. The AHP method produced weighted priorities that guided the selection of key mitigation actions. Novelty: This study presents an integrated framework combining FMEA and AHP to support structured and hierarchical risk prioritization. Implications: The findings provide a practical basis for decision making in managing operational risks and improving process reliability through prioritized mitigation actions. Keywords: Risk Management, FMEA, Analytical Hierarchy Process, Risk Priority, Mitigation Strategy Key Findings Highlights Failure modes are systematically ranked based on multi-criteria evaluation Decision weights guide selection of critical corrective actions Integrated framework supports structured operational risk handling