Extended Gate Concept for Maritime Automobile Terminals

The article is focused on the role of a maritime automobile terminal in finished vehicle logistics (FVL). Different drivers that force the management of a maritime automobile terminal to find new solutions in accommodating the increased flows of vehicles are described. The analysis of the maritime automobile terminal at Koper indicates the need to further expand the storage area and its delivery zone to support regular clients from the automotive industry. The main research goal of the paper is to elaborate and describe the model where an external storage platform under port’s operation might be used. On this basis the analysis of current inbound and outbound flows is elaborated. The model of Extended Gate Concept (EGC) for a maritime automobile terminal is presented as an option to serve increased outgoing flows of finished vehicles. With proper infrastructure development, established inland connections and secured information flow the presented EGC model can be adopted at the observed maritime automobile terminal. Nevertheless, obstacles hindering EGC implementation play a crucial role in the model implantation, thus the final consent should be given by the relevant stakeholders in FVL

Some Further Consideration of Modeling Process at the Seaport Automobile Terminals

In this paper we consider the loading processes at seaside link of Seaport automobile Automobile Terminal (SAT) as a bulk queuing model of the form M X g /D/1// s . We deduce the recursive equation for the steadystate probabilities concerning this queue model. Using this recursive equation, we obtain the explicit expressions for the steady-state probabilities with indices up to four. All these steady-state probabilities are expressed as a function on the utlization factor ( ) and the size of every arriving group at the ramp ( g ). Related numerical and graphical results are also presented. As applications, it is considered and discussed the modeling process at the SAT in the Port of Bar

The role of European «ro-ro» port terminals in the automotive supply chain management

http://www.sciencedirect.com/science/article/B6VG8-4V5XNYN-2/2/e3b9cc9ae1d3da27edb4977da8fc19e

A Literature Review of Seaport Decarbonisation: Solution Measures and Roadmap to Net Zero

This paper provides a comprehensive review of the literature related to seaport decarbonisation by combining the academic literature with case studies, industrial reports, newsletters, and domain knowledge. Through the literature review, the emission sources at seaports are categorised according to different criteria for better understanding. One of the criteria is the geographic location, which divides the emission sources into four categories. For each emission source category, the emission reduction measures in the literature are categorised into six structured categories including operational measures, technical measures, fuel and energy measures, infrastructural measures, digitalisation measures, and policy and collaboration measures. The first three categories have a direct impact on emission reductions, whereas the last three categories tend to support and facilitate the development and implementation of the first three categories. Representative case studies are selected from the UK ports to discuss their decarbonisation practices and pathways to net zero. We then propose a generic time-phased roadmap for port decarbonisation towards net zero, which divides the solution measures in each category into three phases to show their progressive processes. We explain the dependence relationships of the solution measures in the roadmap and discuss the challenges and opportunities in the implementation of the roadmap. This paper could offer strategic guidelines to port-associated stakeholders to implement emission reduction strategies and transition to net zero from the system perspective.</jats:p

Dynamics in Logistics

This open access book highlights the interdisciplinary aspects of logistics research. Featuring empirical, methodological, and practice-oriented articles, it addresses the modelling, planning, optimization and control of processes. Chiefly focusing on supply chains, logistics networks, production systems, and systems and facilities for material flows, the respective contributions combine research on classical supply chain management, digitalized business processes, production engineering, electrical engineering, computer science and mathematical optimization. To celebrate 25 years of interdisciplinary and collaborative research conducted at the Bremen Research Cluster for Dynamics in Logistics (LogDynamics), in this book hand-picked experts currently or formerly affiliated with the Cluster provide retrospectives, present cutting-edge research, and outline future research directions

The technical efficiency of SACU Ports: a data envelopment analysis approach

There ever growing international trade and increasing congestion of ports led to an increased focus attention on technical efficiency. Seaports are a central and necessary component in facilitating international trade. Yet, there is only limited comprehensive information available on the technical efficiency of African ports. The study investigated the technical efficiency of the SACU ports during the period 2014-2019 using DEA model. The DEA model is effective in resolving the measurement of port efficiency since the calculations are nonparametric and do not need definition or knowledge of a priori weights for the inputs or outputs, as is necessary for estimate of efficiency using production functions. To identify the roots of the technical inefficiency of the SACU ports, the study subdivided technical efficiency into pure technical and scale efficiency. The model used cargo handled, container throughput, ship calls as output variables. Whilst, quay cranes, number of tugboats, draft, quay length and number of quays were used as input variables. The study used the scores of DEA-BCC model as explanatory variables in Tobit model. The results showed that quay cranes and quay length are the cause of technical inefficiencies in the ports.Thesis (MCom (Economics)) -- Faculty of Business and Economic Sciences, 202

The technical efficiency of SACU Ports: a data envelopment analysis approach

There ever growing international trade and increasing congestion of ports led to an increased focus attention on technical efficiency. Seaports are a central and necessary component in facilitating international trade. Yet, there is only limited comprehensive information available on the technical efficiency of African ports. The study investigated the technical efficiency of the SACU ports during the period 2014-2019 using DEA model. The DEA model is effective in resolving the measurement of port efficiency since the calculations are nonparametric and do not need definition or knowledge of a priori weights for the inputs or outputs, as is necessary for estimate of efficiency using production functions. To identify the roots of the technical inefficiency of the SACU ports, the study subdivided technical efficiency into pure technical and scale efficiency. The model used cargo handled, container throughput, ship calls as output variables. Whilst, quay cranes, number of tugboats, draft, quay length and number of quays were used as input variables. The study used the scores of DEA-BCC model as explanatory variables in Tobit model. The results showed that quay cranes and quay length are the cause of technical inefficiencies in the ports.Thesis (MCom (Economics)) -- Faculty of Business and Economic Sciences, 202

Solving Complex Logistics Problems with Multi-Artificial Intelligent System

The economy, which has become more information intensive, more global and more technologically dependent, is undergoing dramatic changes. The role of logistics is also becoming more and more important. In logistics, the objective of service providers is to fulfill all customers’ demands while adapting to the dynamic changes of logistics networks so as to achieve a higher degree of customer satisfaction and therefore a higher return on investment. In order to provide high quality service, knowledge and information sharing among departments becomes a must in this fast changing market environment. In particular, artificial intelligence (AI) technologies have achieved significant attention for enhancing the agility of supply chain management, as well as logistics operations. In this research, a multi-artificial intelligence system, named Integrated Intelligent Logistics System (IILS) is proposed. The objective of IILS is to provide quality logistics solutions to achieve high levels of service performance in the logistics industry. The new feature of this agile intelligence system is characterized by the incorporation of intelligence modules through the capabilities of the case-based reasoning, multi-agent, fuzzy logic and artificial neural networks, achieving the optimization of the performance of organizations