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130626 ||| eng |
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|a 9783540271468
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|a Krieg, Georg
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|a Kanban-Controlled Manufacturing Systems
|h Elektronische Ressource
|c by Georg Krieg
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|a 1st ed. 2005
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 2005, 2005
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|a X, 238 p
|b online resource
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|a Subject and Outline -- Kanban-Controlled Manufacturing Systems: Basic Version and Variations -- Literature Review: Models of Kanban Systems -- New Models of Kanban Systems: A Construction-Kit Approach -- Components: Basic Building Blocks -- Subassemblies: Models of Multi-Product Manufacturing Facilities -- Composite Models: Models of Multi-Stage Kanban Systems -- Extended Application: Models of Systems with Multi-Product Manufacturing Facilities in Series -- Accuracy of the Models: Numerical Results -- Application of the Models: Analysis of System Behavior -- Summary and Directions for Future Research
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|a Economics
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|a Operations Management
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|a Operations research
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|a Production management
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|a Mathematics
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|a Operations Research and Decision Theory
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|a eng
|2 ISO 639-2
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|b Springer
|a Springer eBooks 2005-
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|a Lecture Notes in Economics and Mathematical Systems
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|a 10.1007/b138676
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|u https://doi.org/10.1007/b138676?nosfx=y
|x Verlag
|3 Volltext
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|a 330
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|a 5th Werner Kern Award for Productivity Research 2005 Kanban control systems bear a great potential to significantly improve operations. A company may reap the full benefits of kanban control only after determining an optimal or near-optimal system configuration. To do that, methods are needed to evaluate the performance and operating costs of individual system configurations. We propose an innovative construction-kit approach that enables us to build stochastic analytical models of a large class of single- and multi-product kanban systems. The presented construction-kit approach may be extended and augmented in various directions.
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