Shipowner’s Impact on Planned Maintenance System Database Quality Grades Resemblance Equalization

Stazić, Ladislav; Komar, Ivan; Mihanović, Luka; Mišura, Antonija

doi:10.7225/toms.v07.n01.001

Cited by 7 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Frequently, PMS are used in shipping companies that determine maintenance intervals based on original equipment manufacturer (OEM)'s specifications and instruction manuals for the components/equipment [35]. Besides, company policy, rules and regulations also from classification societies and vessel's ships flag state further constrain intervals [28].…”

Section: Supporting Information Technologymentioning

confidence: 99%

Maritime Spare Parts Management: Current State-of-the-Art

Pahl¹

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

Having the right spare part at the right time to the right place for ship maintenance to the minimal possible costs is an exigent management problem that maritime shipping companies face. This is especially challenging in bulk shipping where routes are not fixed, but subsequent port calls depend on spot market dynamics. Thus, spare parts allocation ahead in time is limited, but possible if failures rates of ship components and their timing can be foreseen, so that spare parts can be allocated to hedge against the risk of long waiting times and thus ship downtimes. Companies are very sensitive to the latter due to significant ship operational costs that accrue also during downtime, but without revenues. Thus, reducing ship downtimes by monitoring the condition of components key to the ships performance is essential to the task. However, shipping companies seem far away from applying sophisticated methods for forecasting and planning due to various challenges ranging from data gathering and cultivating an understanding of data quality needs, adaptation to move from preventive towards predictive and condition-based maintenance (CBM) thus enabling the introduction and application of decision support tools for demand forecasting, sourcing, spare parts allocation, and inventory management. In this paper, we investigate the current state of the art of spare parts logistics (SPL) management tightly related to CBM for maritime shipping and discuss the application of methods to the bulk carriage market.

show abstract

Section: Supporting Information Technologymentioning

confidence: 99%

Maritime Spare Parts Management: Current State-of-the-Art

Pahl¹

2022

Proceedings of the Annual Hawaii International Conference on System Sciences

View full text Add to dashboard Cite

show abstract

“…Maintenance task affects the reliability and availability of equipment, which is the key factor to minimize failure time and reduce operation cost in the lifecycle of equipment [1]. Currently, the majority of methods of equipment maintenance are planned maintenance [2][3][4][5][6][7][8][9][10]. Among them, AKYUZ and CELIK designed an enhanced planned maintenance system (E-PMS) for a ship by using A'WOT, and their study had made a great contribution to improving the performance of equipment [2].…”

Section: Introductionmentioning

confidence: 99%

Grey Relational Analysis-Based Fault Prediction for Watercraft Equipment

Feng

Chen²,

Guan³

et al. 2022

Front. Phys.

View full text Add to dashboard Cite

In this study, we aim to investigate the fault prediction for watercraft equipment by using grey relational analysis. At first, the healthy degree model of watercraft equipment is proposed, and then two main theorems are derived to determine the health condition criteria for equipment. Lastly, the relevant simulation results are provided to verify the validity and accuracy of the healthy degree model. Current results can be helpful to effectively design the supporting mode of watercraft equipment and realize the transformation of watercraft equipment support from planned maintenance to predictive maintenance.

show abstract

“…Reliability and availability of all systems in transport and industry play an important role in choosing a product by a customer [1]. This directly infl uences a planned maintenance [2,3]. Reliability and availability is of such importance that companies build databases to calculate i.e.…”

Section: Introduction / Uvodmentioning

confidence: 99%

“…Reliability and availability is of such importance that companies build databases to calculate i.e. MTTR, which is presented in [2]. Such collected data are used to detect faults [3] in ships' systems.…”

Section: Introduction / Uvodmentioning

confidence: 99%

Reliability and Availability of Ship’s Computer Systems Based on Manufacturer’s Data and Worksheets

2020

View full text Add to dashboard Cite

Computer controlled systems play important role aboard ships. Failure of such systems due to some component malfunction can be with fatal consequences. It is important to assess reliability and availability of such systems and minimum redundancy to ensure maintenance planning, ordering of spare components and safety of the voyage with as little as possible redundant components. This paper deals with development of model for reliability and availability of the computer system, which consists of three components with hot standby. Markov chains model is used to analyse probability of failure. Matrix of transitions is set after model development. Transition matrix is used to develop diff erential equations for model simulation. System's reliability is larger if the system is under constant maintenance and service, but it would not be available. Hence, the optimum between reliability and availability should be found. System's maintenance is limited during the voyage and hot standby is necessary to ensure success of the voyage. This paper presents a framework for assessment of reliability and availability of computer systems based on components' redundancy, and practical data about MTBF. Many versions of the shipboard computer systems can be evaluated using the presented framework. Sažetak Računalno upravljani sustavi imaju značajnu ulogu na brodovima. Kvar tih sustava zbog neispravnosti neke od sastavnica može imati kobne posljedice. Važno je procijeniti pouzdanost i raspoloživost tih sustava te njihovu minimalnu redundantnost da bi se osiguralo planiranje održavanja, naručivanje rezervnih dijelova i sigurna plovidba, uz što manje redundantnih sastavnica. Ovaj rad bavi se razvojem modela pouzdanosti i raspoloživosti računalnog sustava, koji se sastoji od triju sastavnica sa standby opcijom. Model Markovljevih lanaca koristi se za analizu vjerojatnosti greške. Matrica prijelaza sastavljena je nakon razvijanja modela. Ona se koristi za razvoj diferencijalnih jednadžbi za simulaciju modela. Pouzdanost je sustava veća ako se on neprekidno održava i servisira, ali to ne bi bilo raspoloživo. Stoga bi trebalo naći najbolje rješenje između pouzdanosti i raspoloživosti. Održavanje sustava ograničeno je tijekom plovidbe, a standby neophodan je da bi se osiguralo njezino uspješno obavljanje. U radu predstavlja se okvir za procjenu pouzdanosti i raspoloživosti računalnih sustava koji se temelje na redundantnosti sastavnice te na praktičnim podacima o MTBF-u. S pomoću predstavljenog okvira može se ocijeniti puno različitih inačica brodskih računalnih sustava.

show abstract

Shipowner’s Impact on Planned Maintenance System Database Quality Grades Resemblance Equalization

Cited by 7 publications

References 12 publications

Maritime Spare Parts Management: Current State-of-the-Art

Maritime Spare Parts Management: Current State-of-the-Art

Grey Relational Analysis-Based Fault Prediction for Watercraft Equipment

Reliability and Availability of Ship’s Computer Systems Based on Manufacturer’s Data and Worksheets

Contact Info

Product

Resources

About