The modern world abounds in simulation models. Thousands of organizations use simulation models to solve business problems. Problems in micro logistics systems are a very important segment of the business problems that can be solved by a simulation method. In most cases logistics simulation models should be developed with a purpose to evaluate the performance of individual value-adding indirect resources of logistics system, their possibilities and operational advantages as well as the flow of logistics entities between the plants, warehouses, and customers. Accordingly, this scientific paper elaborates concisely the theoretical characteristics of simulation models and the domains in which the simulation approach is best suited in logistics. Special attention is paid to simulation modeling of warehousing and distribution subsystems of logistic system and there is an example of spreadsheet application in the function of simulated demand for goods from warehouse. Apart from simulation model induction and deduction methods, the description method and a method of information modeling are applied.
“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.
In a context of global competition, the optimization of logistics systems is inescapable. Logistics Systems: Design and Optimization falls within this perspective and presents twelve chapters that well illustrate the variety and the complexity of logistics activities. Each chapter is written by recognized researchers who have been commissioned to survey a specific topic or emerging area of logistics. The first chapter, by Riopel, Langevin, and Campbell, develops a framework for the entire book. It classifies logistics decisions and highlights the relevant linkages to logistics decisions. The intricacy of these linkages demonstrates how thoroughly the decisions are interrelated and underscores the complexity of managing logistics activities. Each of the chapters focus on quantitative methods for the design and optimization of logistics systems.
With increased globalization and offshore sourcing, global supply chain management is becoming an important issue for many businesses as it involves a company's worldwide interests and suppliers rather than simply a local or national orientation. The storage systems significantly affect the level of quality of products, the customer’s service level, and the global logistic cost. The mission of warehousing systems design, control and optimization is to effectively ship products in the right place, at the right time, and in the right quantity (i.e. in any configuration) without any damages or alterations, and minimizing costs. Warehousing in the Global Supply Chain presents and discusses a set of models, tools and real applications, including a few case studies rarely presented with a sufficient detail by other literature, to illustrate the main challenges in warehousing activities. This includes all warehouse operations (from receiving to shipping), problems and issues (e.g. storage allocation, assignment, layout, vehicle routing) for industrial and service systems as parts of global supply chains. Advanced and effective solving methods are also illustrated and the discussed case studies help the reader to quickly apply the proposed models and techniques/algorithms. Warehousing in the Global Supply Chain is useful to managers and practitioners of industry and service sectors for the determination and modeling of the critical issues concerning warehousing systems planning and design. It is a valuable source of information for engineering students, doctoral and post-doctoral students, and researchers of academic institutions who are searching for advanced modeling approaches and solving techniques to complex logistic decision making problems. Warehousing in the Global Supply Chain presents and discusses a set of models, tools and real applications, including a few case studies rarely presented with a sufficient detail by other literature, to illustrate the main challenges in warehousing activities. This includes all warehouse operations (from receiving to shipping), problems and issues (e.g. storage allocation, assignment, layout, vehicle routing) for industrial and service systems as parts of global supply chains. Advanced and effective solving methods are also illustrated and the discussed case studies help the reader to quickly apply the proposed models and techniques/algorithms. Warehousing in the Global Supply Chain is useful to managers and practitioners of industry and service sectors for the determination and modeling of the critical issues concerning warehousing systems planning and design. It is a valuable source of information for engineering students, doctoral and post-doctoral students, and researchers of academic institutions who are searching for advanced modeling approaches and solving techniques to complex logistic decision making problems.
Normal 0 false false false MicrosoftInternetExplorer4 How much warehouse space will your company need throughout the year? That’s a brutally complex question--and companies that get it wrong can waste huge amounts of money. In Developing a Warehouse and Inventory Level Optimization System, Frank A. Tillman and Deandra Cassone introduce a complete model for answering this question more accurately and minimizing warehousing costs without introducing excessive costs elsewhere. Tillman and Cassone help you accurately project how much inventory you’ll need to house to avoid stockouts, by accurately analyzing the demand pattern of each product at the wholesaler level throughout the year and establishing the demand distributions and inventory requirements to cover service for each level of product at each wholesaler. Their sequential analysis establishes the safety stock and inventory levels required to support the desired service level to each wholesaler. Products are next measured as they flow through manufacturing, packaging, warehousing, and distribution to dynamically determine the optimal Full Goods Days Inventory as an output of the system. Tillman and Cassone’s sophisticated simulation approach goes beyond conventional linear programming allocation of resources, helping decision-makers project inventory build-up on a shift-by-shift basis. Their model can help companies prioritize products and allocate resources to maximize profit and customer satisfaction within existing demand and capacity constraints and makes possible detailed scheduling of products through the system.
The aim of this book is to present qualitative aspects of logistics operations and supply chain management which help to implement the sustainable policy principles in the companies and public sector’s institutions. Authors in individual chapters address the issues related to reverse network configuration, forward and reverse supply chain integration, CO2 reduction in transportation, improvement of the production operations and management of the recovery activities. Some best practices from different countries and industries are presented. This book will be valuable to both academics and practitioners wishing to deepen their knowledge in the field of logistics operations and management with regard to sustainability issues.
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.
What is logistics? What is distribution and supply? What is supply chain management? Which elements create distribution and supply space? Which aspects affect storage design? Which information technologies are suitable for distribution and supply systems? What costs affect distribution and supply systems? These are just some of the questions explored in this book. In addition to providing theoretical analysis of the problems of distribution and supply, it practically demonstrates the many ways of using of heuristics to solve specific tasks. It brings together eight case studies to investigate facets such as designing distribution systems, location problem solving, distribution and collection of goods solutions, and inventory management solutions in particular companies. As such, it will appeal to students in the field of logistics, as well as logistics managers, designers and planners.
