Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 1, Pages 709-720Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.07.023
Keywords
Time and space assembly line balancing problem; Assembly lines; Automotive industry; Ant colony optimisation; Multi-objective optimisation; User preferences; Domain knowledge; Nissan
Categories
Funding
- UPC
- Spanish Ministerio de Educacin y Ciencia [DPI2007-63026]
- Spanish Ministerio de Ciencia e Innovacion [TIN2009-07727]
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Most of the decision support systems for balancing industrial assembly lines are designed to report a huge number of possible line configurations, according to several criteria. In this contribution, we tackle a more realistic variant of the classical assembly line problem formulation, time and space assembly line balancing. Our goal is to study the influence of incorporating user preferences based on Nissan automotive domain knowledge to guide the multi-objective search process with two different aims. First, to reduce the number of equally preferred assembly line configurations (i.e., solutions in the decision space) according to Nissan plants requirements. Second, to only provide the plant managers with configurations of their contextual interest in the objective space (i.e., solutions within their preferred Pareto front region) based on real-world economical variables. We face the said problem with a multi-objective ant colony optimisation algorithm. Using the real data of the Nissan Pathfinder engine, a solid empirical study is carried out to obtain the most useful solutions for the decision makers in six different Nissan scenarios around the world. (C) 2010 Elsevier Ltd. All rights reserved.
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