Dynamic Fleet Management
DYNAMIC FLEET MANAGEMENT will focus on real time management of a distribution system. This means that when a dynamic event occurs within the distribution chain, action must be taken in "real-time." The book will integrate the latest results in system design, algorithm development and system implementation, to capture the state-of-the art research and application trends. While much of the research in this area of transportation problems have almost exclusively concentrated on carrying out static plans on optional distribution conditions, this book will examine those problems when some dynamic or unplanned even occurs within the transport or network system. It will focus specifically on these cases and integrate the latest results in systems, routing algorithms and case studies where information (a dynamic event) is revealed to the decision maker in a real-time manner.
The book’s purpose is to investigate and analyze the emerging field of Dynamic Fleet Management from several perspectives. The book includes chapters that present the systemic background of important dynamic fleet management areas such as goods dispatching, couriers, rescue and repair services, taxi cab services, etc. Algorithmic approaches are outlined that are able to process real time information and produce acceptable-quality solutions in modest computing times. In addition, the book includes real-life case studies that describe the solution to actual distribution problems by combining systemic and algorithmic approaches.
There is considerable interest in the more stochastic types of transportation problems involving real time traffic management and the dynamic aspects of the Vehicle Routing Problem (VRP) as represented in our global economy by means of supply chain logistics, shipping fleet management, etc. This book focuses on these current problems and it will be the first volume that explores the area of Dynamic Fleet ManagementMissing from distribution, VRP, and supply chain logistics books is the increasing need to provide systems and computational algorithms to the transportation industry that will enable them to address random dynamic events which can occur during normal business transport and adversely affect their operational performance. This book is the first organized volume to meet this needAll the chapters in the volume were reviewed by three reviewers—and the reviewers are drawn from known researchers working in the field outside the book