The book explores the evolution of multiple criteria decision-making research, highlighting its significance in addressing complex decision problems that involve various objectives. It reviews the development of numerous decision-making methods over the last two decades, emphasizing the challenge faced by researchers and decision-makers in selecting the most suitable approach for specific problems. The text serves as a guide to navigate the diverse methodologies available, aiming to enhance decision support in multifaceted scenarios.
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.
"Developing projects outside of a classroom setting can be intimidating for students and is not always a seamless process. Real-World Software Projects for Computer Science and Engineering Students is a quick, easy source for tackling such issues. Filling a critical gap in the research literature, the book: Is ideal for academic project supervisors. Helps researchers conduct interdisciplinary research. Guides computer science students on undertaking and implementing research-based projects This book explains how to develop highly complex, industry-specific projects, touching on real-world complexities of software developments. It shows how to develop projects for students who have not yet had the chance to gain real-world experience, providing opportunity to become familiar with the skills needed to implement projects using standard development methodologies. The book is also a great source for teachers of undergraduate students in software engineering and computer science as it can help students prepare for risk and uncertainty that is typical of software development in industrial settings"--
Komplexe Herausforderungen in Logistik und Supply Chain Management werden in diesem Buch umfassend analysiert, wobei der Fokus auf fortschrittlichen Methoden der Computational Intelligence liegt. Die ersten Kapitel bieten eine Einführung in die grundlegenden Konzepte, während die folgenden spezifische Probleme wie Transportplanung, Produktions- und Lagerverwaltung sowie Scheduling behandeln. Ein strategischer Ansatz zur Gestaltung von Lieferketten wird ebenfalls diskutiert. Abgerundet wird das Werk durch einen Überblick über relevante Software und Informationssysteme, die für die behandelten Themen von Bedeutung sind.
