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Kanban-Controlled Manufacturing Systems [electronic resource] / by Georg N. Krieg.

Por: Tipo de material: TextoTextoSeries Lecture Notes in Economics and Mathematical Systems ; 549 | Lecture Notes in Economics and Mathematical Systems ; 549Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005Descripción: X, 238 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9783540271468
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 658.5 23
Clasificación LoC:
  • HD28-70
Recursos en línea:
Contenidos:
Springer eBooksResumen: 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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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.

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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