iipp publishingJournal of Applied Engineering Science

TESTINg OF THE EVALUATION METHODOLOGY FOR SHIP’S PLANNED MAINTENANCE SYSTEM DATABASE


DOI 10.5937/jaes17-22652
This is an open access article distributed under the CC BY-NC-ND 4.0 terms and conditions. 
Creative Commons License


Volume 17 article 606 pages: 273 - 279

Ladislav Stazic*
University of Split, Faculty of Maritime Studies, Croatia
Tatjana Stanivuk
University of Split, Faculty of Maritime Studies, Croatia
Vice Mihanovic
Port Authority Split, Croatia

Ship’s Planned Maintenance Systems are in use for a long period of time, but database quality, configuration and content are still not standardized. Factors affecting the database quality, configuration and content are the quality of raw data, experience and knowledge of database creation team, importance given to computerized PMS and care assigned to evaluation of finished product. Evaluation of finished product, i.e. ship’s Planned Maintenance System Database is an action requiring specified knowledge and qualifications, as well as experience in performing the task. Even when evaluators fulfill all needed requirements, credibility of the obtained results is questionable due to their subjectivity. One of the tools to decrease that problem is the Evaluation Methodology for Ship’s Planned Maintenance System Database. A research, described in the paper, has been performed to test that aspect of the Methodology. Three Ships Planned Maintenance System Databases were evaluated by four different evaluators, first using only their experience, then using the Methodology. Results of the research are presented in the paper together with comparison of findings. All presented points that usage of the Methodology is a necessity during evaluations of ship’s Planned Maintenance System Databases.

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Part of the research for this article was performed using the equipment obtained through the Project named: “Functional integration of the University of Split, PMF-ST, PFST and KTF-ST through development of scientific and research infrastructure in Three faculties building’’, contract number KK.01.1.1.02.0018.


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