This book presents the latest technologies and operational methods available to support sustainable freight transport practices. It highlights market requirements, cutting edge applications, and case studies from innovators in the logistics services industry. The goal is to help bridge the gap between advanced computational techniques and complex applied problems such as those in sustainable transport and logistics operations. Freight transport has traditionally focused on costs and service levels. However, it is no longer possible or socially responsible to neglect the environmental, social, climate, and energy implications of the freight moving globally. This book places sustainability at the forefront of the freight transport agenda. Sustainable Freight Transport: Theory, Models and Case Studies is divided into three sections. Section I focuses on green freight transport policies for air and marine ports. Section II is devoted to using modelling techniques and optimization for achieving sustainable freight transport, while Section III examines policies to support sustainable freight transport practices in urban areas. The contributions come from authors from different areas, backgrounds, and countries to cover a global perspective.

This book presents the latest technologies and operational methods available to support sustainable freight transport practices. It highlights market requirements, cutting edge applications, and case studies from innovators in the logistics services industry. The goal is to help bridge the gap between advanced computational techniques and complex applied problems such as those in sustainable transport and logistics operations. Freight transport has traditionally focused on costs and service levels. However, it is no longer possible or socially responsible to neglect the environmental, social, climate, and energy implications of the freight moving globally. This book places sustainability at the forefront of the freight transport agenda. Sustainable Freight Transport: Theory, Models and Case Studies is divided into three sections. Section I focuses on green freight transport policies for air and marine ports. Section II is devoted to using modelling techniques and optimization for achieving sustainable freight transport, while Section III examines policies to support sustainable freight transport practices in urban areas. The contributions come from authors from different areas, backgrounds, and countries to cover a global perspective.

This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies. Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following: * Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains * Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene * Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs * Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies. This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society.

This edited volume highlights recent research advances in humanitarian relief logistics. The contributed chapters span the spectrum of key issues and activities from preparedness to mitigation operations (response), planning and execution. The volume also presents state-of-the-art methods and systems through current case studies.

Significant issues in planning and execution of humanitarian relief logistics discussed in this volume include the following:

Approaches that tackle realistic relief distribution networks. In addition to large-scale computing issues, heuristics may handle the complexity and particularities of humanitarian supply chains
Methods that integrate real-time information while effectively coping with time pressure and uncertainty, both of which are inherent to a disaster scene
Judicious recourse strategies that allow a quick and effective restoration of pre-planned solutions whenever an unpredictable event occurs
Coordination of multiple parties that are often involved in managing a disaster, including NGOs, local, state and federal agencies.

This volume provides robust evidence that research in humanitarian logistics may lead to substantial improvements in effectiveness and efficiency of disaster relief operations. This is quite encouraging, since the unique characteristics of disaster scenes provide significant opportunities for researchers to investigate novel approaches contributing to logistics research while offering a significant service to society.

Supply Chain 4.0 has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots. Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes. This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.

'Supply Chain 4.0' has introduced automation into logistics and supply chain processes, exploiting predictive analytics to better match supply with demand, optimizing operations and using the latest technologies for the last mile delivery such as drones and autonomous robots. Supply Chain 4.0 presents new methods, techniques, and information systems that support the coordination and optimization of logistics processes, reduction of operational costs as well as the emergence of entirely new services and business processes.

This edited collection includes contributions from leading international researchers from academia and industry. It considers the latest technologies and operational research methods available to support smart, integrated, and sustainable logistics practices focusing on automation, big data, Internet of Things, and decision support systems for transportation and logistics. It also highlights market requirements and includes case studies of cutting-edge applications from innovators in the logistics industry.