Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/9986
Title: Operation allocation in automated manufacturing system using GA-based approach with multifidelity models
Authors: Chan, FTS 
Chaube, A
Mohan, V
Arora, V
Tiwari, MK
Keywords: Automated manufacturing
Flexibility
Genetic algorithm
Multifidelity
Operation allocation
Issue Date: 2010
Publisher: Pergamon-Elsevier Science Ltd
Source: Robotics and computer-integrated manufacturing, 2010, v. 26, no. 5, p. 526-534 How to cite?
Journal: Robotics and Computer-Integrated Manufacturing 
Abstract: The scheduling problem in manufacturing is considered as among the toughest to solve. The basic drawback of many proposed methods has been the huge amount of computation time for simulation. This paper proposes a framework to solve the operation allocation problem in automated manufacturing systems using the concept of multifidelity. The concept of multifidelity has been proposed by several researchers in order to reduce the computation time for simulation. In this paper, a GA-based heuristic procedure will be developed along with the multifidelity approach to solve a typical manufacturing scheduling problem. Four different fidelity models have been defined on which experimentation is carried out. The proposed method has been tested on a sample dataset and the results have been analysed to choose the fidelity model which best describes the scenario.
URI: http://hdl.handle.net/10397/9986
DOI: 10.1016/j.rcim.2010.04.002
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