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Freight Transport Modelling is a unique new reference book that provides insight into the state-of-the-art of freight modelling. Focusing on models used to support public transport policy analysis, Freight Transport Modelling systematically introduces the latest freight transport modelling approaches and describes the main methods and techniques used to arrive at operational models. As freight transport has grown exponentially in recent decades, policymakers now need to include freight flows in quantitative evaluations of transport systems. Whereas early freight modelling practice was inspired by passenger transport models, by now it has developed its separate stream of methods and techniques inspired by disciplines such as economic geography and supply chain management. Besides summarizing the latest achievements in fundamental research, this book describes the state of practice and advises practitioners on how to cope with typical challenges such as limitations in data availability. - Uniquely focused book exploring the key issues and logistics of freight transport modelling - Highlights the latest approaches and describes the main methods and techniques used to arrive at operational models - Summarizes fundamental research into freight transport modeling, as well as current practices and advice for practitioners facing day-to-day challenges
This open access book is the first to systematically introduce the principles of urban informatics and its application to every aspect of the city that involves its functioning, control, management, and future planning. It introduces new models and tools being developed to understand and implement these technologies that enable cities to function more efficiently – to become ‘smart’ and ‘sustainable’. The smart city has quickly emerged as computers have become ever smaller to the point where they can be embedded into the very fabric of the city, as well as being central to new ways in which the population can communicate and act. When cities are wired in this way, they have the potential to become sentient and responsive, generating massive streams of ‘big’ data in real time as well as providing immense opportunities for extracting new forms of urban data through crowdsourcing. This book offers a comprehensive review of the methods that form the core of urban informatics from various kinds of urban remote sensing to new approaches to machine learning and statistical modelling. It provides a detailed technical introduction to the wide array of tools information scientists need to develop the key urban analytics that are fundamental to learning about the smart city, and it outlines ways in which these tools can be used to inform design and policy so that cities can become more efficient with a greater concern for environment and equity.
Logistics Transportation Systems compiles multiple topics on transportation logistics systems from both qualitative and quantitative perspectives, providing detailed examples of real-world logistics workflows. It explores the key concepts and problem-solving techniques required by researchers and logistics professionals to effectively manage the continued expansion of logistics transportation systems, which is expected to reach an estimated 25 billion tons in the United States alone by 2045. This book provides an ample understanding of logistics transportation systems, including basic concepts, in-depth modeling analysis, and network analysis for researchers and practitioners. In addition, it covers policy issues related to transportation logistics, such as security, rules and regulations, and emerging issues including reshoring. This book is an ideal guide for academic researchers and both undergraduate and graduate students in transportation modeling, supply chains, planning, and systems. It is also useful to transportation practitioners involved in planning, feasibility studies, consultation and policy for transportation systems, logistics, and infrastructure. - Provides real-world examples of logistics systems solutions for multiple transportation modes, including seaports, rail, barge, road, pipelines, and airports - Covers a wide range of business aspects, including customer service, cost, and decision analysis - Features key-term definitions, concept overviews, discussions, and analytical problem-solving
Intermodal Freight Transportation conceptualizes intermodal transport as a set of physical, logical, financial and contractual flows, examining the barriers that impact intermodal freight services and the resulting performance variables. The book covers transport modes, agents, supply and demand patterns, key drivers, trends influencing the freight transportation sector, the evolution of supply and logistics chains, and the impacts of technological advancements, such as autonomous vehicles and e-commerce. In addition, the book covers transport agents, such as shippers, freight forwarders, integrators, and customs, as well as the demand for freight transport services and the key properties of goods. Readers will find a variety of new tools for analyzing and building effective transport chains that addresses component technology, information, responsibility, and financing dimension, along with sections on key organizational, regulatory, infrastructure and technological barriers. The book concludes with a look into the future of the freight transport sector.
World-wide trends such as globalization, demographic shifts, increased customer demands, and shorter product lifecycles present a significant challenge to the road freight transport industry: meeting the growing road freight transport demand economically while striving for sustainability. Artificial intelligence, particularly machine learning, is expected to empower transport planners to incorporate more information and react quicker to the fast-changing decision environment. Hence, using machine learning can lead to more efficient and effective transport planning. However, despite the promising prospects of machine learning in road freight transport planning, both academia and industry struggle to identify and implement suitable use cases to gain a competitive edge. In her dissertation, Sandra Lechtenberg explores how machine learning can enhance decision-making in operational and real-time road freight transport planning. She outlines an implementation guideline, which involves identifying decision tasks in planning processes, assessing their suitability for machine learning, and proposing steps to follow when implementing respective algorithms.
This report provides insights into the institutional aspects of intermodal freight transport, examining what makes effective policy.
Since 2007, the biennial International Conferences on Dynamics in Logistics (LDIC) offers researchersand practitioners from logistics, operations research, production, industrial and electrical engineering aswell as from computer science an opportunity to meet and to discuss the latest developments in thisparticular research domain. From February 23th to 25th 2022 for the eighth time, LDIC 2022 was held inBremen, Germany. Similar to its seven predecessors, the Bremen Research Cluster for Dynamics inLogistics (LogDynamics) organized this conference. The spectrum of topics reaches from the dynamicmodeling, planning and control of processes over supply chain management and maritime logistics toinnovative technologies and robotic applications for cyber-physical production and logistics systems.LDIC 2022 provided a forum for the discussion of advances in that matter. The conference programconsisted of keynote speeches and research papers selected by a severe double-blind reviewing process.Within these proceedings all the papers are published. By this, the proceedings give an interdisciplinaryoutline on the state of the art of dynamics in logistics as well as identify challenges and solutions forlogistics today and tomorrow.
Applying sophisticated management techniques to freight transport offers the potential for significant cost savings as well as greater efficiency. Yet the inherent complexity of intermodal transport presents many challenges. This practical textbook on the operations of intermodal transport and logistics focuses on the practical concerns and the basics of operations, such as vehicles, containers, handling operations, logistics management and optimisation. All chapters are written by field specialists, and the volume includes additional chapters on economics, law and the environment to put the practical topics into context. It presents a balanced textbook for postgraduate students and also a reference text for those in industry or the public sector involved in the planning of intermodal freight transport.
The importance of supply chain and logistics knowledge has been growing significantly with the beginning of the new millennium, especially after the COVID-19 pandemic outbreak, as logistics and international transport perform one of the most essential services of the modern globalized and interconnected world. This influence of the new dynamic world brings both challenges and motivation for researchers and practitioners with interests in this field. Further study on the opportunities and difficulties of business logistics is essential to protect the future of international business. Cases on International Business Logistics in the Middle East provides innovative information on logistics and supply chain management and delivers insights into contemporary findings of logistics and supply chain based on real case studies. Covering critical topics such as manufacturing, warehousing, air transport, and big data, this reference work is ideal for managers, executives, business owners, researchers, scholars, academicians, practitioners, instructors, and students.
INTRODUCTION TO LOGISTICS SYSTEMS MANAGEMENT The updated new edition of the award-winning introductory textbook on logistics system management Introduction to Logistics Systems Management provides an in-depth introduction to the methodological aspects of planning, organization, and control of logistics for organizations in the private, public and non-profit sectors. Based on the authors’ extensive teaching, research, and industrial consulting experience, this classic textbook is used in universities worldwide to teach students the use of quantitative methods for solving complex logistics problems. Fully updated and revised, the third edition places increased emphasis on the complexity and flexibility required by modern logistics systems. In this context, the extensive use of data, descriptive analytics, predictive models, and optimization techniques will be invaluable to support the decisions and actions of logistics and supply chain managers. Throughout the book, brand-new case studies and numerical examples illustrate how various methods can be used in industrial and service logistics to reduce costs and improve service levels. The book: includes new models and techniques that have emerged over the past decade; describes methodologies for logistics decision making, forecasting, logistics system design, procurement, warehouse management, and freight transportation management; includes end-of-chapter exercises, Microsoft® Excel® files and Python® computer codes for each algorithm covered; includes access to a companion website with additional exercises, links to video tutorials, and supplementary teaching material. To facilitate creation of course material, additional LaTeX source data containing the formulae, optimization models, tables and algorithms described in the book is available to instructors. Introduction to Logistics Systems Management, Third Edition remains an essential textbook for senior undergraduate and graduate students in engineering, computer science, and management science courses. It is also a highly useful reference for academic researchers and industry practitioners alike.