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All Journal Jurnal Locus Penelitian dan Pengabdian Journal Research of Social Science, Economics, and Management
Yuniarto, Ahmad
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Aerospace Engineering Automotive Engineering Decision Sciences, Operations Research & Management Electrical & Electronics Engineering Environmental Science Mathematics

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Optimization of Maintenance Inspection Scheduling Decision by Integrating Predictive Maintenance and Operational Management Constraints: Case Study of Storage Tank Maintenance in Central Java Prasetio, Rudi; Sunitioso, Yos; Yuniarto, Ahmad
Jurnal Locus Penelitian dan Pengabdian Vol. 4 No. 9 (2025): : JURNAL LOCUS: Penelitian dan Pengabdian
Publisher : Riviera Publishing

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58344/locus.v4i9.4692

Abstract

This study aims to optimize the cleaning and inspection schedule of storage tanks by integrating predictive maintenance with operational decision-making. The research addresses the challenges faced by the Oil and Gas Company in balancing asset reliability with continuous operational demands, using a mixed methods approach. Predictive modeling, conducted using RapidMiner, classified tank conditions based on technical data such as bottom plate thickness, corrosion rates, and coating conditions from previous reports (2022–2024), achieving a model accuracy of 94%. Simultaneously, the Analytical Hierarchy Process (AHP) was employed to evaluate operational criteria, including product demand, stock availability, redundant tank presence, overdue cleaning, vendor readiness, and alternative supply plans. Seven regional Terminal Managers participated as respondents to determine the prioritization of these factors and the weighting of each criterion. The results of AHP indicate that the technical condition of tanks (24.4%) and overdue cleaning (18.4%) are the most influential criteria in the decision-making process. By integrating AHP with predictive maintenance simulations, the study proposes a structured, proactive, and risk-based model to guide tank maintenance decisions. This model enhances reliability, minimizes operational disruptions, and ensures optimal resource utilization.
Business Model Adaptation For Foreign Company To Navigate Local Content Requirements In Indonesia’s Upstream Oil and Gas Industry In 2034 Using Inductive Scenario Planning Approach (Case Study Tas) Dwi Mutia, Ratih; Sunitiyoso, Yos; Yuniarto, Ahmad
Journal Research of Social Science, Economics, and Management Vol. 4 No. 6 (2025): Journal Research of Social Science, Economics, and Management
Publisher : Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59141/jrssem.v4i6.768

Abstract

Complying with local content regulations in the upstream oil and gas industry presents a significant challenge. These regulations aim to enhance local capability, and the industry's yearly transaction value greatly impacts the local industry, necessitating the use of local products. However, despite requiring high technology, this industry mostly relies on imported products. To address this challenge, our research employs a systematic approach that combines scenario planning with Analytic Hierarchy Process (AHP) analysis. Our primary goal is to develop a comprehensive framework that empowers organizations to optimize their business strategies within the context of localization projects. By integrating scenario planning, which allows for the exploration of diverse future scenarios, with AHP analysis, which offers a structured analytical foundation for evaluating and selecting strategies, our research equips decision-makers with a powerful toolset. Through extensive case studies and meticulous analysis, our research sheds light on the nuanced decision-making processes and strategic adaptations that can be achieved through the synergy of scenario planning and AHP analysis in the domain of localization projects. Our findings and insights provide practical guidance to decision-makers grappling with the complexities of local content compliance and the long-term sustainability of business strategies.
Co-Authors Dwi Mutia, Ratih Rudi Prasetio Sunitioso, Yos Yos Sunitiyoso