Springer Advanced Manufacturing

The Balancing of Mixed-Model Hybrid Assembly Lines with Genetic Algorithms

By: Brahim Rekiek, Alain Delchambre

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Paperback | 28 October 2010

At a Glance

Paperback
180 Pages

Dimensions(cm)
23.39 x 15.6 x 0.97

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$199.00

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Efficient assembly line design is a problem of industrial importance. Assembly line design is often complex due to the multiple components involved: efficiency, cost and space. The aim is to integrate the design with operations issues, minimising costs.

It is important to give the designer tools to help him meet the different objectives. 3 techniques based on the Grouping Genetic Algorithm are presented which can be used to aid assembly line design:

- 'equal piles for assembly lines' deals with assembly line balancing (balancing stations' loads);

- a method based on a multiple objective grouping genetic algorithm (MO-GGA) deals with resource planning (selection of equipment);

- 'balance for operation', deals with the changes during the operation of assembly lines.

This book will interest technical personnel in design, planning and production departments in industry as well as managers in industry. It will also be of use to researchers and postgraduates in mechanical, manufacturing or micro-engineering.

Industry Reviews

The design of efficient assembly lines is a problem of considerable industrial importance and contributions in this domain are always appreciated. This book aims to develop new and generic assembly line tools which are capable of evolving a wide range of different line designs with minimal reconfiguration by a designer. In particular, it presents new techniques to deal with assembly line balancing and resource planning.

The book is well written and documented. It is a good reference for postgraduate students and practitioners who are working in the field of resource management and scheduling in manufacturing systems.

International Journal of Advanced Manufacturing Technology

Reviewer: A A Afify, MEC, Cardiff University

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