Titlebook: Simulation-Based Case Studies in Logistics; Education and Applie Yuri Merkuryev,Galina Merkuryeva,Antoni Guasch Book 2009 Springer-Verlag L

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Supply Chain Cyclic Planning and Optimisation,ent optimisation methods and tools. A hybrid genetic-response surface-based linear search algorithm is introduced to enhance the solution of multi-echelon cyclic planning and optimisation problems and generate the optimal cyclic plan.

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Warehouse Order Picking Process,s, a simulation model was created. Routing methods in a wide-aisle warehouse and other order picking process optimisations are analysed through simulation. The presented results show that by using appropriate combination of optimisation methods, the picker travel distance can be reduced by about 60%.

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Vessel Traffic in the Strait of Istanbul,ographical conditions are all considered in the model to provide a tool to analyse the effectiveness of various current and future policies and decisions regarding management of traffic, risks and vessel delays in the Strait of Istanbul.

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ive case studies allow students to follow and integrate the .“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

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Book 2009kle 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 studi

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Factory Railway System, total number of mobile railway resources needed for the internal transportation of the coils. This study was part of a larger study whose main objective was to redesign a factory railway system and a harbour steel terminal, in order to cope with a considerable increase in steel production.

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Manufacturing System Planning and Scheduling,s of the entire business/production process and production anodising stage are developed. Planning scenarios intended for optimising business processes in the company and different sequencing rules to improve processing of production orders are analysed. The improved approach and its benefits in practice are described.

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Hospital Resource Management,tem. The models presented simulate different resource distributions. Thus, better knowledge about resource and process inter-relations in the hospital is obtained. This experience is part of a larger study on the use of simulation in the decision-making processes in hospital resource management problems.