An Analysis of Policy Making for Dry Port Location and Capacity: A Case study on Alexandria

Container terminal capacity is a crucial issue for port and terminal operators nowadays as it is one of the key points for their success and increasing their competitive market position in the maritime industry. Therefore, researchers have tried to find solutions for the over capacity problem that faces many terminal operators. This research suggests dry ports as one of the most suitable solution for this problem through proposing a structured framework to adopt the right policy decisions for Dry Port location and capacity. To achieve the presented framework some areas were addressed in detail to have the full picture clear. The current status of the global container sector was assessed, also, the main capacity problems of container terminals with a view to reviewing the suggested solutions was investigated, hence the need for dry ports. In addition, policies for providing optimal location and capacity decisions for container terminals were identified. A technique that supports assessing container terminal location and capacity policy decisions with particular reference to dry ports were developed. Moreover, a case study on Alexandria International Container Terminal for validating the results was conducted. The current research was facilitated by experts from the maritime transport industry, through the application of the Delphi Technique. Applying such a technique enables collaborating experts to share experience modify statements and re-asking to reach a final exact answer that could be generalized. The consensus achieved will help build knowledge and understanding of potential Dry Ports’ policies of the maritime transport sector. This research seeks to make an original contribution to knowledge by developing a structured framework to identify policy decisions for location and capacity of Dry Ports using a Delphi technique as a support tool for terminal managers and operators, port planners, policy makers, and investors in deciding decisions relevant to Dry Port investment.Arab Academy for science & Technology & Maritime Transpor

Robust optimisation of dry port network design in the container shipping industry under uncertainty

PhD ThesisThe concept of dry port has attracted the attention of many researchers in the field of containerised transport industry over the past few decades. Previous research on dry port container network design has dealt with decision-making at different levels in an isolated manner. The purpose of this research is to develop a decision-making tool based on mathematical programming models to integrate strategic level decisions with operational level decisions. In this context, the strategic level decision making comprises the number and location of dry ports, the allocation of customers demand, and the provision of arcs between dry ports and customers within the network. On the other hand, the operational level decision making consists of containers flow, the selection of transportation modes, empty container repositioning, and empty containers inventory control. The containers flow decision involves the forward and backward flow of both laden and empty containers. Several mathematical models are developed for the optimal design of dry port networks while integrating all these decisions. One of the key aspects that has been incorporated in this study is the inherent uncertainty of container demands from end customers. Besides, a dynamic setting has to be adopted to consider the inevitable periodic fluctuation of demands. In order to incorporate the abovementioned decision-making integration with uncertain demands, several models are developed based on twostage stochastic programming approach. In the developed models, the strategic decisions are made in the first stage while the second-stage deals with operational decisions. The models are then solved through a robust sample average approximation approach, which is improved with the Benders Decomposition method. Moreover, several acceleration algorithms including multi-cut framework, knapsack inequalities, and Pareto-optimal cut scheme are applied to enhance the solution computational time. The proposed models are applied to a hypothetical case of dry port container network design in North Carolina, USA. Extensive numerical experiments are conducted to validate the dry port network design models. A large number of problem instances are employed in the numerical experiments to certify the capability of models. The quality of generated solutions is examined via a statistical validation procedure. The results reveal that the proposed approach can produce a reliable dry port container network under uncertain environment. Moreover, the experimental results underline the sensitivity of the configuration of the network to the inventory holding costs iii and the value of coefficients relating to model robustness and solution robustness. In addition, a number of managerial insights are provided that may be widely used in container shipping industry: that the optimal number of dry ports is inversely proportional to the empty container holding costs; that multiple sourcing is preferable when there are high levels of uncertainty; that rail tends to be better for transporting laden containers directly from seaports to customers with road being used for empty container repositioning; service level and fill rate improve when the design targets more robust solutions; and inventory turnover increases with high levels of holding cost; and inventory turnover decreases with increasing robustness

Evolutionary computing for routing and scheduling applications

Ph.DDOCTOR OF PHILOSOPH

Ocean container transport in global supply chains: Overview and research opportunities

This paper surveys the extant research in the field of ocean container transport. A wide range of issues is discussed including strategic planning, tactical planning and operations management issues, which are categorized into six research areas. The relationships be- tween these research areas are discussed and the relevant literature is reviewed. Representative models are selected or modified to provide a flavour of their functions and application context, and used to explain current shipping practices. Future research opportunities bearing in mind the emerging phenomena in the field are discussed. The main purpose is to raise awareness and encourage more research into and application of operations management techniques and tools in container transport chains

An Agent-based Approach for Improving the Performance of Distributed Business Processes in Maritime Port Community

In the recent years, the concept of “port community” has been adopted by the maritime transport industry in order to achieve a higher degree of coordination and cooperation amongst organizations involved in the transfer of goods through the port area. The business processes of the port community supply chain form a complicated process which involves several process steps, multiple actors, and numerous information exchanges. One of the widely used applications of ICT in ports is the Port Community System (PCS) which is implemented in ports in order to reduce paperwork and to facilitate the information flow related to port operations and cargo clearance. However, existing PCSs are limited in functionalities that facilitate the management and coordination of material, financial, and information flows within the port community supply chain. This research programme addresses the use of agent technology to introduce business process management functionalities, which are vital for port communities, aiming to the enhancement of the performance of the port community supply chain. The investigation begins with an examination of the current state in view of the business perspective and the technical perspective. The business perspective focuses on understanding the nature of the port community, its main characteristics, and its problems. Accordingly, a number of requirements are identified as essential amendments to information systems in seaports. On the other hand, the technical perspective focuses on technologies that are convenient for solving problems in business process management within port communities. The research focuses on three technologies; the workflow technology, agent technology, and service orientation. An analysis of information systems across port communities enables an examination of the current PCSs with regard to their coordination and workflow management capabilities. The most important finding of this analysis is that the performance of the business processes, and in particular the performance of the port community supply chain, is not in the scope of the examined PCSs. Accordingly, the Agent-Based Middleware for Port Community Management (ABMPCM) is proposed as an approach for providing essential functionalities that would facilitate collaborative planning and business process management. As a core component of the ABMPCM, the Collaborative Planning Facility (CPF) is described in further details. A CPF prototype has been developed as an agent-based system for the domain of inland transport of containers to demonstrate its practical effectiveness. To evaluate the practical application of the CPF, a simulation environment is introduced in order to facilitate the evaluation process. The research started with the definition of a multi-agent simulation framework for port community supply chain. Then, a prototype has been implemented and employed for the evaluation of the CPF. The results of the simulation experiments demonstrate that our agent-based approach effectively enhances the performance of business process in the port community

Kandangan dry port project: an option of solution for congestion: case of Lamong Bay Terminal (Surabaya, Indonesia)

The increasing number of the container throughput and traffic has affected the availability of container yard in Lamong Bay Terminal (TTL). This was due to the development of industries in the hinterland. If TTL cannot handle this, TTL cannot improve their productivity for throughput and this can cause congestion. This study observes political, economic, social, technological, environmental, legal and ethical (PESTELE) factors that need to be considered by Kandangan Dry Port to optimize its purpose as an option of the solution to handle TTL Congestion. By using the 7-point Likert scale analysis tool, the previous data are collected in advance of the respondents who are directly involved with port operations such as container depot, terminal operators, port operators, shipping line, logistic providers. Moreover, by using the Importance-Performance Analysis (IPA) to analyze the gap between “The importance of the factors” and “The existing condition of Kandangan Dry Port” is based on the equal factors to determine the factors that need to be considered by Kandangan Dry Port. The result of the questionnaires obtained three factors that can maximize its function and considered need to focus more on that. The three factors are (1) Value added services, (2) Government support, regulation and policy and (3) Implementation of Advanced Technologies. Based on research, the main important factors affecting the success of the implementation and the development Kandangan Dry Port are the active role and policies of the government. Finally, it was concluded that Kandangan Dry Port should pay attention to important key factors, namely the active part of the support, regulation, and policy of the government. It is advisable to conduct further in-depth research on how to support, regulate and make policy of the government in the port and shipping industry to improve Kandangan dry port performance for further studies