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The book takes the inventory control perspective to tackle empty container repositioning logistics problems in regional transportation systems by explicitly considering the features such as demand imbalance over space, dynamic operations over time, uncertainty in demand and transport, and container leasing phenomenon. The book has the following unique features. First, it provides a discussion of broad empty equipment logistics including empty freight vehicle redistribution, empty passenger vehicle redistribution, empty bike repositioning, empty container chassis repositioning, and empty container repositioning (ECR) problems. The similarity and unique characteristics of ECR compared to other empty equipment repositioning problems are explained. Second, we adopt the stochastic dynamic programming approach to tackle the ECR problems, which offers an algorithmic strategy to characterize the optimal policy and captures the sequential decision-making phenomenon in anticipation of uncertainties over time and space. Third, we are able to establish closed-form solutions and structural properties of the optimal ECR policies in relatively simple transportation systems. Such properties can then be utilized to construct threshold-type ECR policies for more complicated transportation systems. In fact, the threshold-type ECR policies resemble the well-known (s, S) and (s, Q) policies in inventory control theory. These policies have the advantages of being decentralized, easy to understand, easy to operate, quick response to random events, and minimal on-line computation and communication. Fourth, several sophisticated optimization techniques such as approximate dynamic programming, simulation-based meta-heuristics, stochastic approximation, perturbation analysis, and ordinal optimization methods are introduced to solve the complex stochastic optimization problems. The book will be of interest to researchers and professionals in logistics, transport, supply chain, and operations research.
This book is focused on the impact of ocean transport logistics on global supply chains. It is the first book solely dedicated to the topic, linking the interaction of parties along this chain, including shippers, terminal operators and line carriers. While ocean container transport logistics has been greatly studied, there are many important issues that have yet to receive the attention they deserve. The editors and contributing authors of Ocean Container Transport Logistics: Making Global Supply Chain Effective seek to address these topics and shed new light on the subject. The book is divided into three parts. Part I examines the innovation, trends, competition and business model of container terminal operations. In Part II, the book looks at how tactical and operational management is used in shipping liners. The chapters cover topics such as empty container repositioning, slow steaming, routing, network design and disruption management. Finally Part III explores at shippers and global supply chain management, with chapters on transportation service procurement, hinterland transportation, green corridors, as well as competition and co-operation in maritime logistics operations. The eighteen chapters of the book all highlight the immediate effect of ocean transport logistics on global supply chain.
Port Economics, Management and Policy provides a comprehensive analysis of the contemporary port industry, showing how ports are organized to serve the global economy and support regional and local development. Structured in eight sections plus an introduction and epilog, this textbook examines a wide range of seaport topics, covering maritime shipping and international trade, port terminals, port governance, port competition, port policy and much more. Key features of the book include: Multidisciplinary perspective, drawing on economics, geography, management science and engineering Multisector analysis including containers, bulk, break-bulk and the cruise industry Focus on the latest industry trends, such as supply chain management, automation, digitalization and sustainability Benefitting from the authors’ extensive involvement in shaping the port sector across five continents, this text provides students and scholars with a valuable resource on ports and maritime transport systems. Practitioners and policymakers can also use this as an essential guide towards better port management and governance.
This book provides a coherent and systematic view of the key concepts, principles, and techniques in maritime container transport and logistics chains including all the main segments: international maritime trade and logistics, freight logistics, container logistics, vessel logistics, port and terminal management, and sustainability issues in maritime transport. Container Logistics and Maritime Transport emphasizes analytical methods and current optimization models to tackle challenging issues in maritime transport and logistics. This book takes a holistic approach to cover all the main segments of the container shipping supply chains to achieve an efficient and effective logistics service system across the entire global transport chain. Sustainability issues such as social concern and carbon emissions from shipping and ports are also discussed. Each maritime transport segment is addressed using an approach from qualitative/descriptive analytics to quantitative/prescriptive analytics. Cutting-edge optimization models are presented and explained to tackle various strategic, tactical, and operational planning problems. The book will help readers better understand operations management in global maritime container transport chain. It will also provide practical principles and effective techniques and tools for researchers to push forward the frontiers of knowledge and for practitioners to implement decision support systems. It will be directly relevant to academic courses related to maritime transport, maritime logistics, transport management, international shipping, port management, container shipping, container logistics, shipping supply chain, and international logistics.
Liner Ship Fleet Planning: Models and Algorithms systematically introduces the latest research on modeling and optimization for liner ship fleet planning with demand uncertainty. Container shipping companies have struggled since the financial crisis of 2007-2008, making it critical for them to make informed decisions about their fleet planning and development. Current and future shipping professionals require systematic approaches for investigating and solving their fleet planning problems, as well as methodologies for addressing their other shipping responsibilities. Liner Ship Fleet Planning addresses these needs, providing the most recent quantitative research of liner shipping in maritime transportation. The research and methods provided assist those tasked with optimizing shipping efficiency and fleet deployment in the face of uncertain demand. Suitable for those with any level of quantitative background, the book serves as a valuable resource for both maritime academics, and shipping professionals involved in planning and scheduling departments. - Introduces the latest research on maritime transportation problems - Analyzes problems of liner ship fleet planning, taking uncertainty into account - Promotes the use of mathematics to manage uncertainty, using stochastic programming models, and proposing solution algorithms to solve proposed models - Includes case studies that provide detailed examples of real-world examples of fleet optimization - Explains how stochastic programming modeling methods and solution algorithms can be applied to other research fields featuring uncertainty, such as container yard planning, berth allocation and vehicle deployment problems
This book discusses the conference that forms a unique platform to bring together academicians and practitioners from industrial engineering and management engineering as well as from other disciplines working on production function applying the tools of operational research and production/operational management. Topics treated include: computer-aided manufacturing, Industry 4.0, big data and analytics, flexible manufacturing systems, fuzzy logic, industrial applications, information technologies in production management, optimization, production economy, production planning and control, productivity and performance management, project management, quality management, risk analysis and management, and supply chain management
Shipping and Logistics Management serves to consolidate the knowledge its authors have acquired from being educators and observers of the shipping industry. Against the background of a global business environment, it explains how the shipping market functions, examining the strategic and operational issues that affect entrepreneurs in this industry. The authors discuss global trends and strategies in the shipping business, looking at the role of logistics service providers and at how the use of information technology can help shipping operations. Shipping and Logistics Management also aims to answer several important questions in the shipping industry, including: what are the shipping cost structures?, what are the patterns of sea transport? and how do companies in the shipping industry operate? An invaluable source of information for researchers and advanced, or graduate, students, Shipping and Logistics Management is also a useful reference for shipping practitioners and consultants.
Contemporary practice and scientific innovation consider the logistics aspects of shipping or maritime and seaport operations as one of the most important areas for development of competitive advantages in business and for study and research. This book covers issues having a significant impact on the industry.
The maritime industry plays an important role in international trade activities and the global economy. It is estimated that international shipping carries approximately 80% of global trade by volume and more than 70% by value. However, increasing maritime activities have had a negative impact on the marine environment and human health. For example, in November 2002, a tanker carrying 77000 tons of fuel oil sank in the Bay of Biscay, which polluted thousands of kilometers of Western European coasts, rivers, streams and swamps. Oil spills caused by ship accidents and other pollution associated with maritime activities have attracted considerable attention in the research community. A large number of studies on shipping pollution have been conducted across different disciplines. However, new challenges are emerging in maritime operation and management, leading to research questions related to intelligent technology and environmental protection, maritime pollution and governance, maritime accidents and environmental emergency.
Modern cities are facing the growing problem of congestion, poor air quality and lack of public space. To ameliorate the condition of goods transport in cities, sustainable city logistics planning is essential. It requires a collaborative approach among city logistics stakeholders for consolidated goods distribution inside city centers to minimize their negative impacts on city residents and their environment. The book presents theoretical studies, state of the art, and practical applications in the area of sustainable city logistics. It is composed of nine chapters. A brief description of the various chapters is provided as follows: Chapter 1 by Sharfuddin Ahmed Khan and Syed Tahaur Rehman presents a review of literature and future prospects on sustainable city logistics. Globalization, governmental rules, and regulations enforce decision makers and managers to incorporate sustainability in every aspect of their decision making (DM) specifically in city logistics. The area of sustainable city logistics is still in its developing stage and not many authors explore sustainability aspects in city logistics. The focus of this chapter is to review existing literature related to city logistics that considered sustainability in DM. A total of 40 articles that were published between 2010 to 2019 have been considered and categorized in terms of objective of study, area of research focus such as qualitative, quantitative, case study etc., and multi criteria DM methods. Finally, future prospects and directions has been proposed in sustainable city logistics. Chapter 2 by Sättar Ezzati presents challenges and opportunities in maritime logistics empty container repositioning. Maritime logistics and freight transportation are extensive and complex sectors that involve large material resources and represent intricate relationships between trade-off the various decisions and policies affecting different components. Because of the globalization, e-market and high level of customization trends, the sector has faced diversified challenges on different levels of planning including designing, scheduling, fleet sizing, decisions about container ownership, leasing and empty container repositioning, uncertainty and collaboration opportunities that already has provoked advanced coordination and intelligent optimization techniques for its global operations from strategic and tactical perspectives. Large attention of this chapter concentrates on empty containers repositioning problem and potential pathways to address this issue and how container shipping companies can handle this challenge with the help of operations research techniques from the perspectives of shipping business industry. To do so, this chapter presents a comprehensive and systematic literature review mainly focused on recent publications correspond to these logistics that maritime industries are facing. Chapter 3 by Yisha Luo, Ali Alaghbandrad, Tersoo Kelechukwu, and Amin Hammad addresses the theme of smart multi-purpose utility tunnels. In terms of sustainable practices, the conventional method of open cut utility installation has proven to be a short-term solution, considering its negative impact on the environment, and its social disruptive nature. An alternative to open cut utility installation is Multi-purpose Utility Tunnels (MUTs), as it offers an economic, sustainable, and easy to manage and inspect method of utility placement. The risks associated with MUTs are both natural and manmade. As a way of tackling these risks, smart MUTs with the use of sensors will reduce the effects of the risks while supporting the operation and maintenance processes for MUT operators. To enhance decision making, data collected from the sensors are used in the MUT Information Modelling (MUTIM). MUTIM includes the utility tunnel structural model with utilities, equipment, sensors, and devices that can be used for emergency management increasing the sustainability and resilience of smart cities. Chapter 4 by Léonard Ryo Morin, Fabian Bastin, Emma Frejinger, and Martin Trépanier model truck route choices in an urban area using a recursive logit model and GPS data. They explore the use of GPS devices to capture heavy truck routes in the Montreal urban road network. The main focus lies on trips that originate or depart from intermodal terminals (rail yard, port). They descriptively analyse GPS data and use the data to estimate a recursive logit model by means of maximum likelihood. The results show the main factors affecting the route choice decisions. Using this type of predictive models when planning and designing the transport network nearby intermodal terminals could offer opportunities to reduce the negative impacts on truck movements, as the CO2 emissions. Chapter 5 by Akolade Adegoke presents a literature review on benchmarking port sustainability performance. Sustainable development agendas are challenging the world and ports, in particular, to find ways to become more efficient while meeting economic, social and environmental objectives. Although there has been a considerable body of documentation on port green practices and performance in Europe and America, there is limited synthesis about evaluation of sustainable practices in the context of Canadian ports. This chapter provides a review of literature and initiatives employed by global ports authorities and identifies major sustainability performance indicators. Chapter 6 by Silke Hoehl, Kai-Oliver Schocke, and Petra Schaefer presents analysis and recommendations of delivery strategies in urban and suburban areas. A research series about commercial transport started in the region of Frankfurt/Main (Germany) started in 2014. The first project dealt with the commercial transport in the city centre of Frankfurt/Main. One hypothesis was that CEP vehicles are congesting the streets. A data base was built by collecting data in two streets in the centre of Frankfurt. Contrary to the expectation a significant part of commercial transport is caused by vehicles of craftsmen. After that, in 2016 the second project examined the delivery strategies of four CEP companies in Frankfurt. One research question was if CEP companies use different delivery strategies in different parts of the city. Therefore 40 delivery tours were accompanied and data was collected e.g. number of stops, number of parcels per stops, car type, transport situation, parking situation, shift lengths or GPS-track. In parallel, the traffic situation in several districts of Frankfurt were analyzed. In a third part, the two streams were put together to recommend delivery strategies for CEP-companies as well as useful insights for local authorities. As a third project of the research series a new project has just begun. The study area has been extended to the entire RheinMain region. It deals with the commercial transport and faces the challenge to manage commercial transport at a low emission level. On the one hand, the methodologies of the two preceding projects will be applied to a suburban area in the region. Recommendations will be developed. On the other hand, loading zones for electric vehicles in Frankfurt will be identified and developed. After that, a conference will give a wide overview of existing delivery concepts. By pointing out critical situations in the delivery chain, the whole last mile will be described. Chapter 7 by Shuai Ma, Jia Yu, and Ahmet Satir presents a scheme for sequential decision making with a risk-sensitive objective and constraints in a dynamic scenario. A neural network is trained as an approximator of the mapping from parameter space to space of risk and policy with risk-sensitive constraints. For a given risk-sensitive problem, in which the objective and constraints are, or can be estimated by, functions of the mean and variance of return, we generate a synthetic dataset as training data. Parameters defining a targeted process might be dynamic, i.e., they might vary over time, so we sample them within specified intervals to deal with these dynamics. We show that: i). Most risk measures can be estimated with the return variance; ii). By virtue of the state-augmentation transformation, practical problems modeled by Markov decision processes with stochastic rewards can be solved in a risk-sensitive scenario; and iii). The proposed scheme is validated by a numerical experiment. Chapter 8 by J.H.R. van Duin, B. Enserink, J.J. Daleman, and M. Vaandrager addresses the theme of sustainable alternatives selection for parcel delivery. The GHG-emissions of the transport sector are still increasing. This trend is accompanied by the strong growth of the e-commerce sector, leading to more transport movements on our road networks. In order to mitigate the externalities of the e-commerce related parcel delivery market and try to make it more sustainable, the following research question has been drafted: How could the last mile parcel delivery process beco