Journal
COMPUTERS & INDUSTRIAL ENGINEERING
Volume 47, Issue 4, Pages 391-407Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2004.09.001
Keywords
assembly line balancing; genetic algorithms; mixed-model
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available