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.
"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."@en
"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. TOC: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 Faculties in Series.- Accuracy of the Models: Numerical Results.- Application of the Models: Analysis of System Behavior.- Summary and Directions for Future Research.- Appendix: Configuration Heuristics"
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BUSINESS & ECONOMICS Production & Operations Management.
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Just in Time / Fertigungssteuerung / PPS-System / Theorie.
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