Assignment of Stochastic Models for the Domain of Port Terminal Operations / Stochastinių Modelių Taikymas, Atliekant Operacijas Uosto Terminale / Применение Стохастических Моделей Для Выполнения Операций В Портовом Терминале

Abstract

The paper presents the optimization possibilities of port terminal operations in order to generate maximum gain. Planning tbese processes is a demanding daily task taken on before dealing with port management, since transhipment operations, cargo loading and dispatching, maintenance and control of transhipment and transportation means are subject to hardly predictable and unexpectable stochastic conditions under which planning optimal terminal operations will include the examination of stochastic processes on the terminal. A model of states and transitions with gain and a model of optimal strategies in terminal management are set up. Furthermore, a model for determining the structure of transhipment equipment is developed. The devised models were adapted to the specificities of a port terminal and tested using the sample of a general cargo terminal.

Multi-Objective Ship’s Cargo Handling Model

“…In order to attain a practical solutions for the given model (Hess, M., Hess, S. 2011) we have formulated the problem as multi-objective, since a single objective one with several constraints would not adequately represent the problem. Hence, there is a vector of minimization objectives,…”

“…These cargo handling operations, as well as, cargo separation are linked processes onboard ship during its stay in the port. Service time of ship's cargo cranes, forklifts and longshoremen, as well as, sequence of cargo units' arrival alongside the ship follow certain probability distributions (Van Asperen et al 2003;Hess, S., Hess, M. 2010;Hess, M., Hess, S. 2011). In this paper the general cargo ship is defined as a multichannel, multiphase mass service system, where the input flow of general cargo passes through the four phases in the process of cargo handling (Hess, S., Hess, M. 2009).…”

Quantitative and Qualitative Basis of Customer Relationship Management Concept Development in the Adriatic Ports

“…the characteristic that the present state contains all the relevant information on the past and future states of port business systems (Mennis et al, 2008). In the investigations carried out so far the Markov stochastic processes have been considered in the sense of modelling mass servicing systems in maritime transport, as well as the application of the Markov theory to increase effectiveness of port operations (Mennis et al, 2008;Hess et al, 2009;Hess et al, 2011). Almost the majority of these works considers the technical-technological components of the port system, while special attention in this paper is paid to the prediction of future states of demand, based on homogeneous historical information on users who remained committed to the port, those who have appeared as new, as well as those who for some reasons stopped using the services of the ports investigated.…”