this book explain how to model contents in a warehouse and take advanatge of the existing space in a warehouse

“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 basis for this thesis involved a six and a half month LFM internship at Efficient Storage, Shipping, and Selection. ES3, Efficient Storage, Shipping, and Selection, is a third party logistics firm that specializes in a vendor-neutral consolidation model for the food distribution industry. ES3 receives, stores, and ships multi-vendor products through a distribution center (DC) in York, Pennsylvania. The product is moved and stored by an Automated Storage and Retrieval System (ASRS) which consists of a network of conveyors, vertical lifts, and Selection and Retrieval Machines (SRMs). The ASRS system is not performing to the designed put-away and shipping rates, thus limiting the DC's overall performance during peak operations. The warehouse operations and warehouse design teams had numerous design suggestions for improving the ASRS operations, but it was difficult to predict the enhancement or impact on performance. A simulation model for the inbound system was created to analyze the impact, prioritize, and develop new ideas for improving the system.

Supply Chain Simulation allows readers to practice modeling and simulating a multi-level supply chain. The chapters are a combination of the practical and the theoretical, covering: knowledge of simulation methods and techniques, the conceptual framework of a typical supply chain, the main concepts of system dynamics, and a set of practice problems with their corresponding solutions. The problem set includes illustrations and graphs relating to the simulation results of the Vensim® program, the main code of which is also provided. The examples used are a valuable simulation tool that can be modified and extended according to user requirements. The objective of Supply Chain Simulation is to meet the demands of supply chain simulation or similar courses taught at the postgraduate level. The “what if” analysis recreates different simulation scenarios to improve the decision-making process in terms of supply chain performance, making the book useful not only for postgraduate students, but also for industrial practitioners.

Volume 1 presents successively an introduction followed by 10 chapters and a conclusion: A logistic approach an overview of operations research The basics of graph theory calculating optimal routes Dynamic programming planning and scheduling with PERT and MPM the waves of calculations in a network spanning trees and touring linear programming modeling of road traffic