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Pregled bibliografske jedinice broj: 627661

How to predict cargo handling times at the sea port affected by weather conditions


Stanivuk, Tatjana; Tokić, Tonći
How to predict cargo handling times at the sea port affected by weather conditions // Croatian operational research review, 3 (2012), 103-112 (podatak o recenziji nije dostupan, članak, znanstveni)


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Naslov
How to predict cargo handling times at the sea port affected by weather conditions

Autori
Stanivuk, Tatjana ; Tokić, Tonći

Izvornik
Croatian operational research review (1848-0225) 3 (2012); 103-112

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
terminal construction; Monte Carlo simulation; weather conditions; port aspects

Sažetak
Safe implementation of the decisions regarding the potential uncertainties in port loading operations requires the anticipation of all the aspects of loading. However, loading operations that are designed as new maritime projects have not always been supported by extensive practical experience. This paper discusses the case study of Punta Arenas loading terminal, reviewing potential issues related to building such a terminal and providing answers applicable to similar cases. When planning the construction of loading terminals at places exposed to harsh weather conditions, it is necessary to define economic and weather aspects. Building a loading terminal in Punta Arenas represents a demanding venture due to exceptionally hard weather conditions affecting the area. The quantitative uncertainties in loading operations can be presented by simulations. Probabilistic simulation is a process explicitly presenting the uncertainties by defining the information input as a distribution of probability of error. If the inputs describe an uncertain system, the forecast of future results is necessary. The results are obtained on the basis of the available information that represents the stated distribution. For the purpose of the probability simulation, the Monte Carlo method is often used, and has therefore been chosen for this research. The main results of the research shall be quantified as the probability of failure in the ship loading operation, with the focus on selected input systems, in the context of difficult weather conditions and unfavourable location of the port of loading. These findings are highly useful to the decision-makers since the latter are able to use the simulation results as a backing for decisions related to the ship loading.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Tehnologija prometa i transport, Ekonomija



POVEZANOST RADA


Ustanove:
Pomorski fakultet, Split

Profili:

Avatar Url Tatjana Stanivuk (autor)


Citiraj ovu publikaciju:

Stanivuk, Tatjana; Tokić, Tonći
How to predict cargo handling times at the sea port affected by weather conditions // Croatian operational research review, 3 (2012), 103-112 (podatak o recenziji nije dostupan, članak, znanstveni)
Stanivuk, T. & Tokić, T. (2012) How to predict cargo handling times at the sea port affected by weather conditions. Croatian operational research review, 3, 103-112.
@article{article, author = {Stanivuk, Tatjana and Toki\'{c}, Ton\'{c}i}, year = {2012}, pages = {103-112}, keywords = {terminal construction, Monte Carlo simulation, weather conditions, port aspects}, journal = {Croatian operational research review}, volume = {3}, issn = {1848-0225}, title = {How to predict cargo handling times at the sea port affected by weather conditions}, keyword = {terminal construction, Monte Carlo simulation, weather conditions, port aspects} }
@article{article, author = {Stanivuk, Tatjana and Toki\'{c}, Ton\'{c}i}, year = {2012}, pages = {103-112}, keywords = {terminal construction, Monte Carlo simulation, weather conditions, port aspects}, journal = {Croatian operational research review}, volume = {3}, issn = {1848-0225}, title = {How to predict cargo handling times at the sea port affected by weather conditions}, keyword = {terminal construction, Monte Carlo simulation, weather conditions, port aspects} }

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Emerging Sources Citation Index (ESCI)
  • EconLit


Uključenost u ostale bibliografske baze podataka::


  • EconLit
  • INSPEC
  • MathSciNet
  • Zentrallblatt für Mathematik/Mathematical Abstracts
  • Current Mathematical Publications
  • Mathematical Reviews
  • MATH on STN International and CompactMath
  • Current Index to Statistics
  • ProQuest
  • EBSCO
  • Hrčak





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