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130802 ||| eng |
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|a 9783319008431
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|a Altendorfer, Klaus
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|a Capacity and Inventory Planning for Make-to-Order Production Systems
|h Elektronische Ressource
|b The Impact of a Customer Required Lead Time Distribution
|c by Klaus Altendorfer
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| 250 |
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|a 1st ed. 2014
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2014, 2014
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| 300 |
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|a XV, 138 p. 30 illus
|b online resource
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| 505 |
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|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
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| 653 |
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|a Operations Management
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| 653 |
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|a Operations Research, Management Science
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| 653 |
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|a Operations research
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| 653 |
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|a Production management
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| 653 |
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|a Industrial organization
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| 653 |
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|a Management science
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| 653 |
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|a Organization
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| 653 |
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|a Operations Research and Decision Theory
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
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|a Lecture Notes in Economics and Mathematical Systems
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| 028 |
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|a 10.1007/978-3-319-00843-1
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| 856 |
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|u https://doi.org/10.1007/978-3-319-00843-1?nosfx=y
|x Verlag
|3 Volltext
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|a 658.5
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| 520 |
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|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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