Rekiek, B. and Delchambre, A. (2006), "Assembly Line Design: The Balancing of Mixed‐Model Hybrid Assembly Lines with Genetic Algorithms", Assembly Automation, Vol. 26 No. 3, pp. 252-252. https://doi.org/10.1108/aa.2006.26.3.252.1
Emerald Group Publishing Limited
Copyright © 2006, Emerald Group Publishing Limited
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 aiming to deal with resource planning (selection of equipment to carry out assembly tasks); and
“balance for operation”, introduced to deal with the changes during the operation phase of assembly lines.
Technical personnel working in design, planning and production departments in industry; managers in industry who want to learn about concurrent engineering.
Assembly Line Design, Engineering Design, Genetic Algorithm, Grouping Genetic Algorithm, Multiple Objectives