Capacity and Inventory Planning for Make-to-Order Production Systems The Impact of a Customer Required Lead Time Distribution /

The book presents different models for the simultaneous optimization problem of capacity investment and work release rule parameterization. The overall costs are minimized either including backorder costs or considering a service level constraint. The available literature is extended with the integr...

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Опубликовано в: :Springer eBooks
Главный автор: Altendorfer, Klaus (Автор)
Соавтор: SpringerLink (Online service)
Формат: Электронная книга
Язык:English
Публикация: Cham : Springer International Publishing : Imprint: Springer, 2014.
Серии:Lecture Notes in Economics and Mathematical Systems,
Предметы:
Online-ссылка:http://dx.doi.org/10.1007/978-3-319-00843-1
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490 1 |a Lecture Notes in Economics and Mathematical Systems,  |x 0075-8442 ;  |v 671 
505 0 |a Introduction -- Literature Review -- Single-Stage Service Level and Tardiness Model -- Simultaneous Capacity and Planned Lead Time Optimization -- Optimal Composition of Number and Size of Machines -- Service Level Constraint Models -- Conclusion. 
520 |a The book presents different models for the simultaneous optimization problem of capacity investment and work release rule parameterization. The overall costs are minimized either including backorder costs or considering a service level constraint. The available literature is extended with the integration of a distributed customer required lead time in addition to the actual demand distribution. Furthermore, an endogenous production lead time is introduced. Different models for make-to-order production systems with one or multiple serial processing stages are developed. Capacity investment is linked to the processing rates of the machines or to the number of the machines. Results are equations for service level, tardiness, and FGI lead time in such a production system. For special cases with M/M/1 and M/M/s queues explicit solutions of the optimization problems or optimality conditions concerning capacity investment and work release rule parameterization are provided. 
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