|
|
|
|
| LEADER |
02957nam a22005175i 4500 |
| 001 |
978-3-540-27146-8 |
| 003 |
DE-He213 |
| 005 |
20151204153827.0 |
| 007 |
cr nn 008mamaa |
| 008 |
100301s2005 gw | s |||| 0|eng d |
| 020 |
|
|
|a 9783540271468
|9 978-3-540-27146-8
|
| 024 |
7 |
|
|a 10.1007/b138676
|2 doi
|
| 040 |
|
|
|d GrThAP
|
| 050 |
|
4 |
|a HB71-74
|
| 072 |
|
7 |
|a KC
|2 bicssc
|
| 072 |
|
7 |
|a BUS000000
|2 bisacsh
|
| 082 |
0 |
4 |
|a 330
|2 23
|
| 100 |
1 |
|
|a Krieg, Georg N.
|e author.
|
| 245 |
1 |
0 |
|a Kanban-Controlled Manufacturing Systems
|h [electronic resource] /
|c by Georg N. Krieg.
|
| 264 |
|
1 |
|a Berlin, Heidelberg :
|b Springer Berlin Heidelberg,
|c 2005.
|
| 300 |
|
|
|a X, 238 p.
|b online resource.
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier
|
| 347 |
|
|
|a text file
|b PDF
|2 rda
|
| 490 |
1 |
|
|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 549
|
| 505 |
0 |
|
|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.
|
| 520 |
|
|
|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. .
|
| 650 |
|
0 |
|a Production management.
|
| 650 |
|
0 |
|a Operations research.
|
| 650 |
|
0 |
|a Decision making.
|
| 650 |
|
0 |
|a Mathematics.
|
| 650 |
|
0 |
|a Economics.
|
| 650 |
|
0 |
|a Management science.
|
| 650 |
1 |
4 |
|a Economics.
|
| 650 |
2 |
4 |
|a Economics, general.
|
| 650 |
2 |
4 |
|a Operations Management.
|
| 650 |
2 |
4 |
|a Mathematics, general.
|
| 650 |
2 |
4 |
|a Operation Research/Decision Theory.
|
| 710 |
2 |
|
|a SpringerLink (Online service)
|
| 773 |
0 |
|
|t Springer eBooks
|
| 776 |
0 |
8 |
|i Printed edition:
|z 9783540229995
|
| 830 |
|
0 |
|a Lecture Notes in Economics and Mathematical Systems,
|x 0075-8442 ;
|v 549
|
| 856 |
4 |
0 |
|u http://dx.doi.org/10.1007/b138676
|z Full Text via HEAL-Link
|
| 912 |
|
|
|a ZDB-2-SBE
|
| 950 |
|
|
|a Business and Economics (Springer-11643)
|
