Economical Model Based on Graph Theory for Optimization Execution Order of Automotive Products on the Manufacturing Lines Served by Robots

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This paper presents an economic model based on graph theory to optimize the execution order for automotive products on the manufacturing lines served by robots, so that the total manufacturing cost is minimized. The starting point is a representation of the range of automotive products with similar design attributes but with different construction requirements (material, tolerances, production volume). This representation is distinguished by a directed graph G = (X, Γ) consisting of the set X of nodes (products) and the set Γ of arcs (paths with minimal cost). In terms of mathematical optimization problem is solved by determining the minimum length Hamiltonian path in the graph, using the algorithm of Foulkes. The length of a path is obtained by adding the numbers associated with that path arcs. The model can be applied to other extreme transportation issues CIM type, such as: transportation network modeling; determining minimum distances; median problem (placing checkpoints); multi-product maximum flow problem.

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443-451

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January 2016

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© 2016 Trans Tech Publications Ltd. All Rights Reserved

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