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Pregled bibliografske jedinice broj: 1036642

Ships shore service optimization using the queueing theory


Bebić, Dragan; Stazić, Ladislav; Komar Ivan
Ships shore service optimization using the queueing theory // International journal of simulation modelling, 18 (2019) 4 (2019), 596-607 doi:10.2507/IJSIMM18(4)488 (međunarodna recenzija, prethodno priopćenje, znanstveni)


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Naslov
Ships shore service optimization using the queueing theory

Autori
Bebić, Dragan ; Stazić, Ladislav ; Komar Ivan

Izvornik
International journal of simulation modelling (1726-4529) 18 (2019) 4 (2019); 596-607

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, prethodno priopćenje, znanstveni

Ključne riječi
Queueing Process ; Arrival Rate ; Service Time ; Service Team ; System Utilization ; Maintenance ; Costs

Sažetak
This paper is presenting a solution for simplifying shore maintenance service teams scheduling procedure in the maritime industry. Shore maintenance service teams scheduling procedure in the past required either advanced mathematical knowledge in the area of the queueing theory or adequate computerized software for the calculation. That action in the past was usually outsourced ; companies did not have personnel capable of solving the queueing theory nor the software needed for the calculation. The solution, presented in the paper, enables in-house scheduling of the shore maintenance service teams using only basic knowledge of the theory, without the use of the specially designed software. The scheduling is performed using a simplified Excel template for Queueing theory, inserting the data from ship’s Computerized Planned Maintenance System. The Excel template, after filling the data, determines the optimal number of teams for the fleet and performs the calculation according to the desired or optimal service level. Simplified Excel template for Queueing theory cut the costs for the calculation and scheduling enabling additional savings in the industry.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Tehnologija prometa i transport



POVEZANOST RADA


Ustanove:
Pomorski fakultet, Split

Profili:

Avatar Url Ivan Komar (autor)

Avatar Url Ladislav Stazić (autor)

Poveznice na cjeloviti tekst rada:

doi www.ijsimm.com

Citiraj ovu publikaciju:

Bebić, Dragan; Stazić, Ladislav; Komar Ivan
Ships shore service optimization using the queueing theory // International journal of simulation modelling, 18 (2019) 4 (2019), 596-607 doi:10.2507/IJSIMM18(4)488 (međunarodna recenzija, prethodno priopćenje, znanstveni)
Bebić, D., Stazić, L. & Komar Ivan (2019) Ships shore service optimization using the queueing theory. International journal of simulation modelling, 18 (2019) 4, 596-607 doi:10.2507/IJSIMM18(4)488.
@article{article, author = {Bebi\'{c}, Dragan and Stazi\'{c}, Ladislav}, year = {2019}, pages = {596-607}, DOI = {10.2507/IJSIMM18(4)488}, keywords = {Queueing Process, Arrival Rate, Service Time, Service Team, System Utilization, Maintenance, Costs}, journal = {International journal of simulation modelling}, doi = {10.2507/IJSIMM18(4)488}, volume = {18 (2019) 4}, issn = {1726-4529}, title = {Ships shore service optimization using the queueing theory}, keyword = {Queueing Process, Arrival Rate, Service Time, Service Team, System Utilization, Maintenance, Costs} }
@article{article, author = {Bebi\'{c}, Dragan and Stazi\'{c}, Ladislav}, year = {2019}, pages = {596-607}, DOI = {10.2507/IJSIMM18(4)488}, keywords = {Queueing Process, Arrival Rate, Service Time, Service Team, System Utilization, Maintenance, Costs}, journal = {International journal of simulation modelling}, doi = {10.2507/IJSIMM18(4)488}, volume = {18 (2019) 4}, issn = {1726-4529}, title = {Ships shore service optimization using the queueing theory}, keyword = {Queueing Process, Arrival Rate, Service Time, Service Team, System Utilization, Maintenance, Costs} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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