Article
SHIP PLANNED MAINTENANCE SYSTEM DATA ANALYSIS
DOI: 10.7708/ijtte.2020.10(4).02
10 / 4 / 432-436 Pages
Author(s)
Ladislav Stazić - University of Split, Faculty of Maritime Studies, Split, Croatia -
Abstract
This paper presents available results of an ongoing research into the computerized ship Planned Maintenance Systems (PMS) and their databases. Evaluation of Computerized Planned Maintenance Databases is, at the moment, a process which requires highly skilled personnel, familiar with the Company structure and policies, familiar with the engineering practices and above all, familiar with the Computer program which is used for the PMS. The ongoing research has the purpose to perform evaluation of the Computerized PMS using normally skilled person, with medium level of skills, without using specially developed tools for the evaluation. During the first part of the research, a new method of evaluation was tried, and the obtained results were compared with the evaluation of the expert which was previously conducted on the same database.
Number of downloads: 975
Acknowledgements:
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.
References:
International Safety Management Code. 2015. Revised ISM Code Effective as from 1 January 2015 Available from internet: https://www.classnk.or.jp/hp/pdf/activities/statutory/ism/ISM_Cd/ISM-Code-e.pdf.
Jung, H. J. 2017. The Quantity Data Estimation for Software Quality Testing, Journal of the Korea Convergence Society 8(10): 37-43. https://doi.org/10.15207/JKCS.2017.8.4.037.
Knežević, V.; Stazić, L.; Orović, J.; Mihanović, L. 2019. Use of PMS Continuous Improvement Scheme for Maintenance Adjustments in Shipping Industry. In Book od Proceedings - 8th International Maritime Science Conference (IMSC 2019) (Kotor CIP-National library of Montenegro), 415-420.
Kolossa, A.; Kopp, B. 2018. Data quality over data quantity in computational cognitive neuroscience, NeuroImage 172: 775–785.
https://doi.org/10.1016/j.neuroimage.2018.01. Stazić, L.; Komar, I.; Račić, N. 2017. Evaluation Methodology for Ship's Planned Maintenance System Database, Transactions on Maritime Science 6(2): 109-116.
Stazić, L.; Bratić, K.; Mihanović, V.; Matjašić, J. 2019. Maintenance process adjustment based on Computerized PMS data. In Book od Proceedings - 1st International Conference of Maritime Science & Technology Naše More 2019, 547-553.
Tversky, A.; Kahneman, D. 1971. Belief in the law of small numbers, Psychological bulletin 76(2): 105–110. https://doi.org/10.1037/h0031322.
Quoted IJTTE Works
There is no quoted studies.
Related Keywords