A method of determination of port terminal capacity under irregular cargo delivery and pickup

Postan, Mykhaylo; Kushnir, Lyudmyla

doi:10.15587/1729-4061.2016.76285

Cited by 4 publications

(6 citation statements)

References 3 publications

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“…This problem has been given considerable attention in the scientific literature during the last decade [1][2][3][4][5][6][7][8]. This is due to the increased interest of businesses and researchers in risk management in maritime transport as a whole and organizing multimodal (intermodal) transportation, in particular.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…In [2], a probabilistic model of port terminal operation is developed, taking into account the irregular cargo delivery by ground transport and pickup by ships in order to find a number of indicators of port terminal capacity. At the same time, the task of assessing the increase in the berthing time of individual ships, taking into account the possible lack of cargo in the warehouse is not considered there.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

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Development of a method for determination of ship’s loading time distribution under іrregular cargo arrival

Postan

Savelieva

Stadnik

2019

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of a method for determination of ship’s loading time distribution under іrregular cargo arrival

Postan

Savelieva

Stadnik

2019

EEJET

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“…The system can't be used in full when the delivery of grain cargoes is planning via the sea terminal, because doesn't allow to make quickly management decisions. In work [14] authors, the principles of functioning of the sea terminal with the unsteady of the input and output cargo flows are considered in detail. The optimum time spent by the vessel at the mooring is defined.…”

Section: Analysis Of Recent Studies and Publicationsmentioning

confidence: 99%

The Principles of the Choice of Management Decisions Based on Fuzzy Logic for Cargo Delivery of Grain to the Seaport

Shramenko¹,

Muzylyov²,

Karnaukh³

2018

IJET

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In the article, the approach on the development of management decisions for correct selection of trucks is presented, in the conditions of uncertainty and the stochastic nature of demand for transportation of a grain on the section of a supply chain named "a grain elevator - the sea terminal". The main problems arising at delivery of grain cargoes in a supply chain with the participation of automobile and sea transports were described for justification of relevance of the research. A mathematical definition of the researching tasks was made for the search for the rational management decision at forming a rational structure of the park of the trucks transporting the agricultural products to the sea terminal. Numerous management decisions based on the principles of fuzzy logic have been developed. The values of the input factors are proved in the form of a set of linguistic variables for making a correct management decision. Cargo capacity of the ship coming to the port and amounts of grain which is in a reserve directly on the sea terminal are consider to be definite quantitative characteristics of each set of a term-number.

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“…However, in certain cases, an equally convenient type of the Markovian random processes are the so-called Markovian drift processes. Markovian drift processes are now widely applied in order to model and analyze various logistics systems [14][15][16], as well as transportation systems [17]. The phase space of such processes represents a direct product of discrete and continuous sets.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Construction and analysis of the model for stochastic optimization of inventory management at a ship repair yard

Petrov

Postan

2018

EEJET

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Розроблено стохастичну модель роботи системи управлiння запасами матерiалiв на судноремонтному заводi (СРЗ). З метою врахування чинникiв невизначеностi та ризику (випадковi моменти прибуття на СРЗ суден, випадковi розмiри обсягiв ремонтiв) для моделювання запропоновано використати апарат марковських процесiв зi знесенням. Цi процеси дозволяють врахувати дискретний характер змiн чисельностi суден, якi знаходяться на СРЗ, та безперервний характер коливання рiвня запасiв матерiалiв на складi. При цьому причали СРЗ iнтерпретуються як система масового обслуговування. Вважається також, що поповнення запасiв матерiалiв на складi та використання пiд час ремонту суден здiйснюється безперервно з постiйними iнтенсивностями, але в залежностi вiд наявностi матерiалiв на складi. В результатi дослiдження сформульована задача стохастичної оптимiзацiї iнтенсивностей поповнення запасiв матерiалiв за критерiєм мiнiмум сумарних середнiх поточних витрат СРЗ, якi враховують також витрати, що стосуються додаткового простою суден внаслiдок вiдсутностi запасiв матерiалiв на складi пiд час проведення ремонту. Модель засновано на сполученнi методiв теорiї запасiв i теорiї масового обслуговування. Поповнення запасiв матерiалiв на складi та їх використання здiйснюється безперервно з постiйними iнтенсивностями. Сформульовано завдання стохастичної оптимiзацiї iнтенсивностей поповнення запасiв матерiалiв за критерiєм мiнiмум сумарних середнiх витрат заводу в одиницю часу. Доведено, що отриманi результати важливi для практики роботи служби постачання СРЗ, оскiльки дозволяють формувати стратегiю управлiння запасами матерiалiв нас складах СРЗ в умовах нерiвномiрностi у часу виникнення потреби у ремонтi суден. З теоретичної точки зору одержанi результати демонструють можливiсть використання апарату марковських процесiв зi знесенням для вирiшення рiзних завдань оптимального управлiння запасами в умовах випадкового попиту на запаси Ключовi слова: судноремонтний завод, система масового обслуговування, запаси матерiалiв, ризик простою суден, оптимальне управлiння запасами

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A method of determination of port terminal capacity under irregular cargo delivery and pickup

Cited by 4 publications

References 3 publications

Development of a method for determination of ship’s loading time distribution under іrregular cargo arrival

Development of a method for determination of ship’s loading time distribution under іrregular cargo arrival

The Principles of the Choice of Management Decisions Based on Fuzzy Logic for Cargo Delivery of Grain to the Seaport

Construction and analysis of the model for stochastic optimization of inventory management at a ship repair yard

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