Simulation Based Case Studies In Logistics

“Simulation-based Case Studies in Logistics” presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. “Simulation-based Case Studies in Logistics” is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.

This case study book is structured according to the essential logistics functions. All individual chapters and subsections include learning objectives and key information on the subject. Each case study is divided into a general, explanatory part containing all necessary information, followed by individually numbered questions and tasks. Additional material may be downloaded from www.gabler.de.

This book provides a detailed insight into the simulation approaches employed in the study of supply chain management and control. It begins by examining the types of simulation models (continuous simulation, discrete-event systems and simulation games) before moving on to the distribution levels of systems and models. It concludes with a thorough discussion of simulation products. Simulation methodologies and techniques are also covered throughout the text and case studies are included to highlight the pivotal role played by simulation in the decision-making processes of those working in this field.

Presenting techniques, case-studies and methodologies that combine the use of simulation approaches with optimization techniques for facing problems in manufacturing, logistics, or aeronautical problems, this book provides solutions to common industrial problems in several fields, which range from manufacturing to aviation problems, where the common denominator is the combination of simulation’s flexibility with optimization techniques’ robustness. Providing readers with a comprehensive guide to tackle similar issues in industrial environments, this text explores novel ways to face industrial problems through hybrid approaches (simulation-optimization) that benefit from the advantages of both paradigms, in order to give solutions to important problems in service industry, production processes, or supply chains, such as scheduling, routing problems and resource allocations, among others.

"Dynamic Modelling for Supply Chain Management" discusses how to streamline complex supply chain management by making the most of the growing number of tools available. The reader is introduced to the basic foundations from which to develop intelligent management strategies, as the book characterises the process and framework of modern supply chain management. The author reviews supply chain management concepts and singles out important factors in the management of modern complex production systems. Particular attention is paid to modern simulation modelling tools that can be used to support supply chain planning and control. The book explores the operational and financial impacts of various potential problems, offering a compilation of practical models to help identify solutions. A useful reference on supply chain management, "Dynamic Modelling for Supply Chain Management" will benefit engineers and professionals working in a variety of areas, from supply chain management to product engineering.

Simulation-based Case Studies in Logistics presents an intensive learning course on the application of simulation as a decision support tool to tackle complex logistic problems. The book describes and illustrates different approaches to developing simulation models at the right abstraction level to be used efficiently by engineers when dealing with strategic, tactical or operational decisions in logistic systems. 11 simulation-based case studies in logistics and supply chain management are discussed, based on the results of applied research, covering application areas such as production logistics, warehousing, transportation, material flow management, and hospital logistics. Simulation-based Case Studies in Logistics is an essential text for postgraduate engineering students and researchers working in the area of logistics modeling and simulation.

The importance of supply chain and logistics knowledge has been growing significantly with the beginning of the new millennium, especially after the COVID-19 pandemic outbreak, as logistics and international transport perform one of the most essential services of the modern globalized and interconnected world. This influence of the new dynamic world brings both challenges and motivation for researchers and practitioners with interests in this field. Further study on the opportunities and difficulties of business logistics is essential to protect the future of international business. Cases on International Business Logistics in the Middle East provides innovative information on logistics and supply chain management and delivers insights into contemporary findings of logistics and supply chain based on real case studies. Covering critical topics such as manufacturing, warehousing, air transport, and big data, this reference work is ideal for managers, executives, business owners, researchers, scholars, academicians, practitioners, instructors, and students.