Solving real car sequencing problems with ant colony optimization [An article from: European Journal of Operational Research] | ![Solving real car sequencing problems with ant colony optimization [An article from: European Journal of Operational Research]](http://ecx.images-amazon.com/images/I/51G4P0G7AGL._SL160_.jpg)
 enlarge | Authors: C. Gagne, M. Gravel, W.l. Price
Publisher: Elsevier
Category: Book
Buy New: $7.95
Format: Html
Media: Digital
Pages: 21
Publication Date: November 1, 2006
Availability: Available for download now
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Product Description
This digital document is a journal article from European Journal of Operational Research, published by Elsevier in 2006. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
An automobile assembly line is usually configured as three successive shops in which the body is constructed, painted, and then assembled together with all component parts into a finished vehicle. However, many published production sequencing models ignore the first two shops and base their results only on the requirements and constraints of the assembly shop. In this article, we propose to more closely follow the actual industrial structure. We therefore first propose a single objective mathematical model for scheduling the paint and assembly shops. We then propose an ACO metaheuristic for solving a multiple-objective formulation. Data provided by Groupe Renault show that the proposed approach offers better solutions than those of current practice.
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