Provides a comprehensive treatment of design, planning and control of cellular systems. - Aslib Book Guide

• 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.- 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.- 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.- 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.

Provides a comprehensive treatment of design, planning and control of cellular systems. - Aslib Book Guide

• 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.- 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.- 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.- 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.

Provides a comprehensive treatment of design, planning and control of cellular systems. - Aslib Book Guide

• 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.- 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.- 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.- 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.