An integration of multi-criteria decision making techniques with a delay time model for determination of inspection intervals for marine machinery systems |
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| Institution: | 1. Donlinks School of Economics and Management, University of Science and Technology Beijing, Beijing 100083, China;2. Department of Systems Engineering & Engineering Management, City University of Hong Kong, Kowloon, Hong Kong;3. Department of Industrial and Systems Engineering, National University of Singapore, Singapore;4. Faculty of Business and Law, Manchester Metropolitan University, UK;1. Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China;2. The Israel System Management Company, Israel;3. University of Massachusetts, Dartmouth, MA 02747, United States |
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| Abstract: | For certain critical equipment items in marine machinery systems, the optimum maintenance strategy would be a scheduled on-condition operation. This involves inspection of the equipment items in order to monitor their performance degradation and, invariably, carry out repair or replacement tasks. The main challenge with this type of maintenance approach is the determination of the appropriate interval for performing the inspection task. This paper presents a methodology which integrates multi-criteria decision making (MCDM) tools with a delay time model for the determination of optimum inspection intervals for marine machinery systems. With this approach, multiple decision criteria are modelled with the delay time concept and aggregated with MCDM tools such that different criteria can be applied simultaneously in the ranking of different inspection interval alternatives. The applicability of the proposed methodology is demonstrated using the case study of a water cooling pump of the central cooling system of a marine diesel engine. |
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| Keywords: | Delay time model Inspection interval MAUT ELECTRE Decision Criteria Marine machinery systems Expected cost Expected downtime Expected company reputation |
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