Modern logistics and transportation systems

Author: Gao Ziyou, Sun Huijun
Publisher:
Publish Date: 2003-05-01
Features: Based on the authors' extensive research in the fields of transportation planning and management, logistics management, and related areas, this book provides an in-depth yet accessible discussion on the establishment and solution methods of decision models in modern logistics and transportation systems. It systematically summarizes the authors' main research achievements in this field. The content primarily focuses on the intrinsic connections between logistics and transportation systems, striving to use quantitative methods to design and plan key issues in modern logistics activities and transportation systems. The book primarily employs optimization methods, especially bi-level programming, to establish mathematical models for describing various logistics functional decisions and to design reasonable solution algorithms to address practical problems. The main objective is to enable logistics decision-making departments or logistics planning personnel to achieve the most efficient application of funds, fully leverage the potential of logistics infrastructure, and obtain the best economic results. The optimization models covered in this book encompass most of the important aspects of supply chain management. The main contents of the book include:
Chapter 1 briefly introduces the basic concepts and fundamental knowledge of logistics and transportation.
Chapter 2 introduces the basic process of logistics system analysis.
Chapter 3 discusses the concept of logistics network planning. To facilitate readers in smoothly reading the majority of the book, Chapters 4 and 5 respectively introduce the relevant mathematical foundations used in this book and optimization methods such as linear programming, nonlinear programming, mixed-integer programming, and bi-level programming, along with their related algorithms.
Chapter 6 introduces variational inequalities and their relationships with related mathematical problems, as well as simple algorithmic processes.
Chapter 7 introduces the basic content of transportation system analysis.
Chapters 8 to 12 are the main chapters of the book, providing detailed descriptions of specific optimization models and main algorithms for solving various logistics decisions (supplier selection, inventory planning, facility planning, internal facility planning, and transportation planning).
Chapter 13 introduces logistics performance evaluation indicators and corresponding evaluation methods.
Chapter 14 introduces some new trends in logistics and the systematic planning and design concepts of modern logistics enterprises based on networks.
This book can serve as a selective course textbook for senior undergraduate and graduate students in universities and colleges majoring in logistics management, logistics engineering, transportation planning and management, systems analysis and integration, systems engineering, industrial engineering, and economic management, among others. It can also be used as a reference book for logistics management and research personnel in government departments, logistics and transportation enterprises, and economic departments, especially in railways, highways, civil aviation, and other sectors.