Fuzzy dynamic risk-based maintenance investment optimization for offshore process facilities

作     者：Yazdi, Mohammad Nedjati, Arman Abbassi, Rouzbeh 

作者机构：Univ Lisbon Inst Super Tecn Ctr Marine Technol & Ocean Engn CENTEC P-1049001 Lisbon Portugal Quchan Univ Technol Ind Engn Dept Quchan Iran Macquarie Univ Fac Sci & Engn Sch Engn Sydney NSW Australia 

出 版 物：《JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES》 (加工工业损失预防杂志)

年 卷 期：2019年第57卷

页      面：194-207页

核心收录：

学科分类：0817[工学-化学工程与技术] 08[工学] 0837[工学-安全科学与工程] 

主　　题：Safety investment Crude oil release Uncertainty Bi-objective function Risk analysis 

摘      要：A methodology for maintenance planning is developed which helps in improving the reliability of the components and safety performance in process facilities. This methodology helps design an optimum safety maintenance investment plan by integrating the optimization techniques and a fuzzy dynamic risk-based method. Intuitionistic Fuzzy Analytic Hierarchy Process (IFAHP) is applied to deal with uncertain data. The proposed approach employs multi-experts knowledge which helps to optimize the maintenance investments. A separator system in an offshore process facility platform is selected as a case study to demonstrate the application of the proposed methodology. A practical example in the separator system is surveyed and potential failures and Basic Events (BEs) are identified. Finally, a risk-based maintenance plan is provided for future safety investment analysis. The results indicate that the developed methodology estimates the risk more accurately, which enhances the reliability of future process operations.