Advancing Decision Making In Field Operations And Maintenance: A Practical Risk Based Analysis Tool

Abstract This tool is drawn from a variety of existing literature on decision analysis and risk management, adapting this concept to the practical challenges in the field. It's based on case studies from PT. Donggi Senoro LNG, where real-world scenarios are categorized and analyzed. This tool combines predictive analytics, which assesses spare part requirements using historical failure data, and multi-criteria decision analysis for choosing equipment overhaul providers and planning system upgrades. This approach standardizes inputs and assumptions in decision-making, enhancing the tool's applicability in diverse situations. It's a robust solution for efficient and effective risk management and decision support. This tool is drawn from a variety of existing literature on decision analysis and risk management, adapting this concept to the practical challenges in the field. It's based on case studies from PT. Donggi Senoro LNG, where real-world scenarios are categorized and analyzed. This tool combines predictive analytics, which assesses spare part requirements using historical failure data, and multi-criteria decision analysis for choosing equipment overhaul providers and planning system upgrades. This approach standardizes inputs and assumptions in decision-making, enhancing the tool's applicability in diverse situations. It's a robust solution for efficient and effective risk management and decision support. Application within PT. Donggi Senoro LNG has demonstrated the significant impact of this tool in optimizing decision-making processes. This tool has led to more transparent and informed decision-making processes. Decisions are now based on clearer criteria and better information, allowing stakeholders to understand and trust the process more. Its effectiveness is evident in more effective spare parts procurement, enabling the selection of optimal and economically viable maintenance service providers, and guiding appropriate system upgrades in a timely manner. These outcomes highlight the value of a balanced decision-making strategy, one that carefully considers both risk and economic aspects. This approach has not only streamlined operations at PT. Donggi Senoro LNG, but also presents potential benefits for the broader range of scenarios in the oil and gas industry, and potentially in other sectors of the energy industry. This tool represents a new approach with represents a significant advancement in operational in decision-making within the energy sector. This tool brings a practical, easy-to-use solution to complex decision-making challenges, combining academic theories with real-world applications. The tool's development and application demonstrate a novel way of enhancing operational efficiency and strategic planning. Its adoption has the potential to set new benchmarks in operational decision-making, aligning with industry needs for efficiency.