Document Type : Original Article
1 Assistant Professor, Energy Economics and Management Department, Petroleum Faculty of Tehran , Petroleum University of Technology, Tehran, Iran
2 PhD Candidate in Operation and Production Management, Faculty of Management & Accounting, Shahid Beheshti University, Tehran, Iran
3 M.A. Student in Project Management, Energy Economics and Management Department, Petroleum Faculty of Tehran , Petroleum University of Technology, Tehran, Iran
Companies need to exactly manage their assets to balance performance, risk, and cost. The ability of equipment to provide a certain level of performance is influenced by its design, utilization, deterioration, and life. On the other hand, in order to obtain the desired level of performance and reduce risk, proper planning of maintenance activities during the period must be done. To manage this issue, organizations must develop a suitable method for their assets from the acquisition stage to the disposal to obtain the required processes and, ultimately, to earn the desired profit. In this study, petroleum pipelines have been considered as a case study, and life cycle cost (LCC), risk, and key performance indicators (KPI) have been identified as the criteria for decision making. KPI is itself composed of three sub criteria, including reliability, availability, and maintainability. They are weighted by using the opinions of eight expert and DANP method. The final weights of LCC, risk, and KPI (reliability, availability, and maintainability) are 0.269, 0.301, and 0.429 respectively. Considering different strategies in each phase of the asset life cycle, different scenarios are described for the asset life cycle as follows: 1) RCM-replacement, 2) RCM-overhaul, 3) CBM-replacement, 4) CBM-overhaul, 5) TPM-replacement, and 6) TPM-overhaul. Finally, based on the gained experts’ viewpoint from questionnaire and MOORA technique to rank the scenarios, the desired scenario, namely Buy-TPM-Replacement, is selected. Due to the use of experts’ opinions, these results will vary with the change of people, and due to the lack of relevant data, it is not possible to avoid this issue.