A genetic algorithm based approach to the mixed-model assembly line balancing problem of type II.
COMPUT IND ENG
391 - 407.
Mixed-model assembly lines allow for the simultaneous assembly of a set of similar models of a product, which may be launched in the assembly line in any order and mix. As current markets are characterized by a growing trend for higher product variability, mixed-model assembly lines are preferred over the traditional single-model assembly lines.This paper presents a mathematical programming model and an iterative genetic algorithm-based procedure for the mixed model assembly line balancing problem (MALBP) with parallel workstations, in which the goal is to maximise the production rate of the line for a pre-determined number of operators.The addressed problem accounts for some relevant issues that reflect the operating conditions of real-world Assembly lines, like zoning constraints and workload balancing and also allows the decision maker to control the generation of parallel workstations. (C) 2004 Elsevier Ltd. All rights reserved.
|Title:||A genetic algorithm based approach to the mixed-model assembly line balancing problem of type II|
|Keywords:||assembly line balancing, genetic algorithms, mixed-model, PARALLEL WORKSTATIONS|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science
UCL > School of BEAMS > Faculty of Engineering Science > Biochemical Engineering
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