Cellular Manufacturing Systems Design, planning and control
Batch manufactcring is a dominant manufacturing activity in the world, generating a great deal of industrial output. In the coming years, we are going to witness an era of mass customization of products. The major problems in batch manufacturing are a high level of product variety and small manufact...
| Main Authors: | , |
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| Format: | eBook |
| Language: | English |
| Published: |
New York, NY
Springer US
1996, 1996
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| Edition: | 1st ed. 1996 |
| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 1 Introduction
- 1.1 Production systems and group technology
- 1.2 Impact of group technology on system performance
- 1.3 Impact on other functional areas
- 1.4 Impact on other technologies
- 1.5 Design, planning and control issues in cellular manufacturing
- 1.6 Overview of the book
- 1.7 Summary
- Problems
- References
- Further reading
- 2 Part family formation: coding and classification systems
- 2.1 Coding systems
- 2.2 Part family formation
- 2.3 Cluster analysis
- 2.4 Related developments
- 2.5 Summary
- Problems
- References
- 3 Part—machine group analysis: methods for cell formation
- 3.1 Definition of the problem
- 3.2 Bond energy algorithm (BEA)
- 3.3 Rank order clustering (ROC)
- 3.4 Rank order clustering 2 (ROC 2)
- 3.5 Modified rank order clustering (MODROC)
- 3.6 Direct clustering algorithm (DCA)
- 3.7 Cluster identification algorithm (CIA)
- 3.8 Modified CIA
- 3.9 Performance measures
- 9.3 Operations allocation in a cell with negligible setup time
- 9.4 Minimum inventory lot-sizing model
- 9.5 Summary
- References
- Further reading
- 10 Control of cellular flexible manufacturing systems
- 10.1 Control architectures
- 10.2 Controller structure components
- 10.3 Control models
- 10.4 Summary
- References
- 6 Novel methods for cell formation
- 6.1 Simulated annealing
- 6.2 Genetic algorithms
- 6.3 Neural networks
- 6.4 Related developments
- 6.5 Summary
- Problems
- References
- 7 Other mathematical programming methods for cell formation
- 7.1 Alternate process plans
- 7.2 New cell design with no inter-cell material handling
- 7.3 New cell design with inter-cell material handling
- 7.4 Cell design with relocation considerations
- 7.5 Cell design considering operational variables
- 7.6 Related developments
- 7.7 Summary
- Problems
- References
- 8 Layout planning in cellular manufacturing
- 8.1 Types of layout for manufacturing systems
- 8.2 Layout planning for cellular manufacturing
- 8.3 Design of robotic cells
- 8.4 Summary
- Problems
- References
- 9 Production planning in cellular manufacturing
- 9.1 Basic framework for production planning and control
- 9.2 Production planning and control in cellular manufacturing systems
- 3.10 Comparison of matrix manipulation algorithms
- 3.11 Related developments
- 3.12 Summary
- Problems
- References
- 4 Similarity coefficient-based clustering: methods for cell formation
- 4.1 Single linkage clustering (SLC)
- 4.2 Complete linkage clustering (CLC)
- 4.3 Average linkage clustering (ALC)
- 4.4 Linear cell clustering (LCC)
- 4.5 Machine chaining problem
- 4.6 Evaluation of machine groups
- 4.7 Parts allocation
- 4.8 Groupability of data
- 4.9 Related developments
- 4.10 Summary
- Problems
- References
- 5 Mathematical programming and graph theoretic methods for cell formation
- 5.1 P-median model
- 5.2 Assignment model
- 5.3 Quadratic programming model
- 5.4 Graph theoretic models
- 5.5 Nonlinear model and the assignment allocation algorithm (AAA)
- 5.6 Extended nonlinear model
- 5.7 Other manufacturing features
- 5.8 Comparison of algorithms forpart-machine grouping
- 5.9 Related developments
- 5.10 Summary
- Problems
- References