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Journal of Applied Engineering Science
2019, vol. 17, br. 3, str. 273-279
jezik rada: engleski
vrsta rada: preliminarni izveštaj
objavljeno: 10/10/2019
doi: 10.5937/jaes17-22652
Creative Commons License 4.0
Testing of the evaluation methodology for Ship's Planned Maintenance System Database
(naslov ne postoji na srpskom)
aUniversity of Split, Faculty of Maritime Studies, Croatia
bPort Authority Split, Croatia



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.


(ne postoji na srpskom)
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 fulfi ll 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.

Ključne reči

database; planned maintenance; questionnaire; quality evaluation; evaluation methodology; planning


Blakeslee, D.M., John, R.Jr. (2003) The essentials of a database quality process. Data Science Journal, 2: 35-46
Gašpar, G., Poljak, I., Orović, J. (2018) Computerized Planned Maintenance System Software Models. Pomorstvo: Scientific Journal of Maritime Research, 32(1): 141-145
Granke, O. (2013) Methods for Database Quality Assessment. u: Forest Monitoring (Developments in Environmental Science), Dordrecht: Elsevier, Book 12, Chapter 23. pp 455-467
Hû, O., Trigano, P., Crozat, S. (1999) Considerating Subjectivity in Softwares Evaluation. u: J. Vanderdonckt, A. Puerta [ur.] Computer-Aided Design of User Interfaces II, Dordrecht: Springer Science and Business Media LLC, 331-336
McKenna, B. (2011) Data Quality Improvement Impeded by Lack of Automation. news/2240039405/Data-quality-improvement-impeded-by-lack-of-automation (accessed 21.08.2019)
Mišura, A., Stazić, L., Stanivuk, T., Komar, I. (2019) Verification of the Evaluation Methodology for Ship's Planned Maintenance System Database. u: Ivošević Špiro, Vidan Pero [ur.] 8th International Maritime Science Conference, Kotor: CIP -Nacionalna biblioteka Crne Gore, Book of Proceedings, 441-445
Rabin, M. (2002) Inference by Believers in the Law of Small Numbers. Quarterly Journal of Economics, 117(3): 775-816
Ratner, C. (2002) Subjectivity and Objectivity in Qualitative Methodology. Forum: Qualitative Social Research, 3(3), Art. 16,
Rossi, P.H., Lipsey, M.W., Henry, G.T. (2018) Evaluation: A Systematic Approach. USA: SAGE Publications Inc
Stazić, L., Komar, I., Mihanović, L., Mišura, A. (2018) Shipowner's Impact on Planned Maintenance System Database Quality Grades Resemblance Equalization. Transactions on Maritime Science, 7(1): 5-22
Stazić, L., Komar, I., Račić, N. (2017) Evaluation Methodology for Ship's Planned Maintenance System Database. Transactions on Maritime Science, 6(2): 109-116
Wang, R.Y., Strong, D.M. (1996) Beyond Accuracy: What Data Quality Means to Data Consumers. Journal of Management Information Systems, 12(4): 5-33
Woodall, P., Oberhofer, M., Borek, A. (2014) A classification of data quality assessment and improvement methods. International Journal of Information Quality, 3(4): 298-298