TY  - BOOK
AU  - 
AU  - 
ED  - SpringerLink (Online service)
TI  - Assembly Line Design: The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms 
T2  - Springer Series in Advanced Manufacturing,
SN  - 9781846281143
AV  - TJ241 
U1  - 670 23
PY  - 2006///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Computer aided design
KW  - Algorithms
KW  - Engineering design
KW  - Industrial engineering
KW  - Machinery
KW  - Structural control (Engineering)
KW  - Manufacturing, Machines, Tools
KW  - Engineering Design
KW  - Computer-Aided Engineering (CAD, CAE) and Design
KW  - Industrial and Production Engineering
KW  - Operating Procedures, Materials Treatment
N1  - 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; ZDB-2-ENG
N2  - 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 designers 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
UR  - http://dx.doi.org/10.1007/b138846
ER  -