Priority control of berth allocation problem in container terminals

Abstract

This paper presents a decision support system for the core problem of berth allocation decision in a container terminal. The allocation of berths to the calling vessels is complex with the fact that different service level requirements are required for different vessels. Terminal managers demand for effective decision support systems that would aid them with the allocation problem considering service priorities. Consequently, this study provides a DSS, built by a dynamic discrete-event simulation model embedded with an optimization tool that determines the priority controls for the berth allocation to the calling vessels. To show the practical application of the DSS, a comprehensive case study from a Turkish container terminal considering the current state and future expansion plans that also provides an indication of the usability aspect of the program on other ports around the world has been conducted. Further experiments are conducted based on data from the Port of Rotterdam. The DSS presented in this study may help port authorities in determining more efficient allocation decisions within a container terminal.

The multi-port berth allocation problem with speed optimization and emission considerations

“…The pioneering study considering continuous BAP is Imai et al (2005). Recently, it has been still in focus with the variants studied in Ursavas (2015), , Mauri et al (2016), etc. Moreover, in some related works, the quay is partitioned in a hybrid approach where some vessels might only fit in multiple berths (e.g.…”

An Integral Approach to Sustainable Decision-Making within Maritime Spatial Planning—A DSC for the Planning of Anchorages on the Island of Šolta, Croatia

“…According to the above-mentioned, research on scientific and professional literature has been expanded upon, in the use of DS in maritime spatial planning, and it has been noted that most of the research was related to DS usage in the berth allocation problem [27][28][29][30][31][32][33][34][35][36]. None of these authors conducted studies in which all affected groups (government, experts, and users) were involved in the strategy selection, and none of them gave a solution for the spatial plan design for the development of anchorage capacities with the approach of DSC as a proven high quality "tool" for decision-makers dealing with this issue.…”

“…This can be coped with the fact that most countries have just started to apply MSP. The application of DS in MSP has been found in papers dealing with the protection of environment, ecology, biodiversity, coastal, and seabed habitat features [19][20][21][22][23][24][25][26], marine traffic [27][28][29][30][31][32][33][34][35][36], anchorage planning strategy [37], and site identification (selection) [38][39][40]. It can be concluded that most of the papers, in which DSS is used in the planning of various activities in MSP, are based on ecological issues, and on the issue of regulating traffic within maritime industrial ports, but not with the development of spatial plans, and especially not with plans related to the construction of anchorages as a civil engineering problem.…”

Optimization of Terminal Serviceability Based on Chaotic Ga-Based Method

“…At the same time, terminal operators have different preferences regarding the service priority. For example, it was reported that most of the Japanese terminals preferred ships with larger container volume being served first while ships with smaller container volume were favored in Dalian container terminal of China [5,6,22,[30][31][32] Ursavas [32] extended the work of BAP on priority considerations by proposing a decision support system for determining priority controls based on simulation optimization.…”