Computational Intelligence in Logistics and Supply Chain Management
- 196 páginas
- 7 horas de lectura
This book addresses complex issues in logistics and supply chain management, focusing on advanced methods from computational intelligence (CI) for their resolution. The initial chapters introduce logistics and supply chain management alongside computational intelligence. Subsequent chapters delve into specific areas within logistics and supply chain management, identifying key problems and discussing potential solutions. Chapter 3 focuses on production and inventory management challenges, while Chapter 4 explores detailed planning activities, typically referred to as scheduling. Chapter 5 examines transportation planning, including various vehicle routing problems. In contrast to the operational-level issues discussed in Chapters 3 to 5, Chapter 6 addresses the strategic aspect of supply chain or network design. The concluding chapter reviews academic and commercial software and information systems relevant to the applications covered. A notable gap exists between general textbooks on logistics and specialized literature on computational intelligence and operations research, making it challenging for readers to transition from introductory texts to more advanced studies. This book bridges that gap by offering comprehensive insights into pertinent problems and effective methods for addressing them.
