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 manufacturing lot sizes. The product variations present design engineers with the problem of designing many different parts. The decisions made in the design stage significantly affect manufacturing cost, quality and delivery lead times. The impacts of these product variations in manufacturing are high…mehr
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 manufacturing lot sizes. The product variations present design engineers with the problem of designing many different parts. The decisions made in the design stage significantly affect manufacturing cost, quality and delivery lead times. The impacts of these product variations in manufacturing are high investment in equipment, high tooling costs, complex scheduling and loading, lengthy setup time and costs, excessive scrap and high quality control costs. However, to compete in a global market, it is essential to improve the productivity in small batch manufacturing industries. For this purpose, some innovative methods are needed to reduce product cost, lead time and enhance product quality to help increase market share and profitability. What is also needed is a higher level of integration of the design and manufacturing activities in a company. Group technology provides such a link between design and manufacturing. The adoption of group technology concepts, which allow for small batch production to gain economic advantages similar to mass production while retaining the flexibility of job shop methods, will help address some of the problems.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
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.
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Provides a comprehensive treatment of design, planning and control of cellular systems. - Aslib Book Guide
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