Assembly Line Design [electronic resource] : The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms /
Rekiek, Brahim.author.
Delchambre, Alain.author.
Efficient assembly line design is a problem of considerable industrial importance. Unfortunately, like many other design processes, it can be time-consuming and repetitive. In addition to this, assembly line design is often complex owing to the number of multiple components involved: line efficiency, cost, reliability and space for example. The main objective is to integrate the design with operations issues, thereby minimising its costs. Since it is impossible to replace a designer’s intelligence, experience and creativity, it is important to provide him with a set of assistance tools in order to meet the conflicting objectives involved. Assembly Line Design presents three techniques based on the Grouping Genetic Algorithm (a powerful and broadly applicable optimisation and stochastic search technique) which can be used to aid efficient assembly line design: • ‘equal piles for assembly lines’, a new algorithm introduced to deal with assembly line balancing (balancing stations’ loads); • a new method based on a multiple objective grouping genetic algorithm (MO-GGA) aiming to deal with resource planning (selection of equipment to carry out assembly tasks); ‘• balance for operation’ (BFO), introduced to deal with the changes during the operation phase of assembly lines. Assembly Line Design will be of interest to technical personnel working in design, planning and production departments in industry as well as managers in industry who want to learn more about concurrent engineering. This book will also be of value to researchers and postgraduate students in mechanical, manufacturing or micro-engineering. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.
Description based upon print version of record.
Includes bibliographical references and index.
Assembly Line Design Problems -- Designing Assembly Lines -- Design Approaches -- Assembly Line: History and Formulation -- Evolutionary Combinatorial Optimisation -- Evolutionary Combinatorial Optimisation -- Multiple Objective Grouping Genetic Algorithm -- Assembly Line Layout -- Equal Piles for Assembly Line Balancing -- The Resource Planning for Assembly Line -- Balance for Operation -- The Integrated Method -- Evolving to Integrate Logical and Physical Layout of Assembly Lines -- Concurrent Approach to Design Assembly Lines -- A Real-world Example Optimised by the OptiLine Software -- Conclusions and Future Work.
Efficient assembly line design is a problem of considerable industrial importance. Unfortunately, like many other design processes, it can be time-consuming and repetitive. In addition to this, assembly line design is often complex owing to the number of multiple components involved: line efficiency, cost, reliability and space for example. The main objective is to integrate the design with operations issues, thereby minimising its costs. Since it is impossible to replace a designer’s intelligence, experience and creativity, it is important to provide him with a set of assistance tools in order to meet the conflicting objectives involved. Assembly Line Design presents three techniques based on the Grouping Genetic Algorithm (a powerful and broadly applicable optimisation and stochastic search technique) which can be used to aid efficient assembly line design: • ‘equal piles for assembly lines’, a new algorithm introduced to deal with assembly line balancing (balancing stations’ loads); • a new method based on a multiple objective grouping genetic algorithm (MO-GGA) aiming to deal with resource planning (selection of equipment to carry out assembly tasks); ‘• balance for operation’ (BFO), introduced to deal with the changes during the operation phase of assembly lines. Assembly Line Design will be of interest to technical personnel working in design, planning and production departments in industry as well as managers in industry who want to learn more about concurrent engineering. This book will also be of value to researchers and postgraduate students in mechanical, manufacturing or micro-engineering. The Springer Series in Advanced Manufacturing publishes the best teaching and reference material to support students, educators and practitioners in manufacturing technology and management. This international series includes advanced textbooks, research monographs, edited works and conference proceedings covering all subjects in advanced manufacturing. The series focuses on new topics of interest, new treatments of more traditional areas and coverage of the applications of information and communication technology (ICT) in manufacturing.
Industrial engineering.
Production engineering.
Manufactures.
Engineering design.
Computer-aided engineering.
Algorithms.
Industrial and Production Engineering.
Manufacturing, Machines, Tools, Processes.
Engineering Design.
Computer-Aided Engineering (CAD, CAE) and Design.
Manufacturing, Machines, Tools, Processes.
Algorithms.
Springer Series in Advanced Manufacturing