Assembly Line Design

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

  • Brahim Rekiek
  • Alain Delchambre
Part of the Springer Series in Advanced Manufacturing book series (SSAM)

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Assembly Line Design Problems

    1. Front Matter
      Pages 1-1
    2. Pages 7-11
  3. Evolutionary Combinatorial Optimisation

  4. Assembly Line Layout

  5. The Integrated Method

  6. Back Matter
    Pages 149-160

About this book

Introduction

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.

Keywords

Assembly Line Design Engineering Design Genetic Algorithm Grouping Genetic Algorithm Layout Multiple Objectives algorithms optimization

Authors and affiliations

  • Brahim Rekiek
    • 1
  • Alain Delchambre
    • 1
  1. 1.CAD/CAM DepartmentUniversité Libre de BruxellesBrusselsBelgium

Bibliographic information

  • DOI https://doi.org/10.1007/b138846
  • Copyright Information Springer-Verlag London Limited 2006
  • Publisher Name Springer, London
  • eBook Packages Engineering
  • Print ISBN 978-1-84628-112-9
  • Online ISBN 978-1-84628-114-3
  • Series Print ISSN 1860-5168