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CENTRALIZED AND DECENTRALIZED DISTRIBUTION STORAGE SYSTEMS. DECISION MAKING THROUGH THE SIMULATION OF CENTRALIZED AND DECENTRALIZED DISTRIBUTION STORAGE SYSTEMS

Автор:   Tomasz K.
мягкая обложка
168 страниц
2008 год
Издательство:   Книга по Требованию
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2781 руб
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Описание:This research presented a methodology for identifying data needs, building an analytical database, creating simulation models with Arena software, optimizing the models with OptQuest software, and performing sensitivity analysis. The sensitivity analysis proved that savings are affected by transportation cost, demand volume, and the time at which products need to be available for delivery. As a result of applying this methodology, it was found that the centralized distribution storage system allows the company to operate at a lower cost (savings from 11. 03% to 19. 09%) while providing customers with better service. Simulation/optimization approach was found to be effective and allowed for the creation of a methodology that can be repeated for similar types of problems. The techniques were applied to a decision making process of reconfiguring an existing distribution storage system, and modifying it from centralized to a decentralized one. Simulation modeling and optimization techniques were selected to analyze and solve supply chain and distribution storage problems. The design of a Supply Chain network has a great impact on a company’s performance.


Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка Orthomol Immun Junior Сила иммунитета на страже Вашего ребенка

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Distributed operating systems

When the current task finishes, a choice among the now-ready tasks is made. With static algorithms, in contrast, the scheduling decisions, whether preemptive or not, are made in advance, before execution. When an event occurs, the runtime scheduler just looks in a table to see what to do. Finally, scheduling can be centralized, with one machine collecting all the information and making all the decisions, or it can be decentralized, with each processor making its own decisions. In the centralized case, the assignment of tasks to processors can be made at the same time. In the decentralized case, assigning tasks to processors is distinct from deciding which of the tasks assigned to a given processor to run next. A key question that all real-time system designers face is whether or not it is even possible to meet all the constraints. If a system has one processor and it gets 60 interrupts/sec, each requiring 50 msec of work, the designers have a Big Problem on their hands. Suppose that a periodic real-time distributed system has m tasks and N processors to run them on.  Let Ci be the CPU time needed by task i, and let Pi be its period, that is, the time between consecutive interrupts ...»

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