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Research on Optimized Problem-solving Solutions Selection of the ProductionProcess
Journal
UTCC Engineering Research Papers
Publisher(s)
University of the Thai Chamber of Commerce
Date Issued
2012
Author(s)
Other Contributor(s)
University of the Thai Chamber of Commerce. School of Engineering
Abstract
In manufacturing industries, various problems may occur during the production process. Aproblem is a complex status, which involves relevant context in working environments. Aproblem-solving process is often initiated to create a solution for achieving the desired status; inthis process, determining how to obtain a solution from the various candidate solutions is animportant issue. In such uncertain working environments, context information provides richclues for problem-solving decision making. Therefore, this work uses a selection approach foran optimized problem-solving process to assist workers in choosing a reasonable solution. Acontext-based utility model explores the problem context information to obtain the candidatesolutions’ actual utility values; a multi-criteria decision analysis uses the actual utility values todetermine the optimal selection order of candidate solutions. The selection order is presented tothe worker as an adaptive knowledge recommendation. The worker chooses a reasonableproblem-solving solution based on the selection order. This paper uses a high-tech company’sknowledge base log as the analysis data. The experimental results show that thechosen approach to an optimized problem-solving solution selection is effective. Thecontribution of this research is in demonstrating a method, which is easy to implement in aproblem-solving knowledge recommendation system for selecting a reasonable solution.
Subject(s)
ISSN
1906-1625
Access Rights
public
Rights
This work is protected by copyright. Reproduction or distribution of the work in any format is prohibited without written permission of the copyright owner.
Rights Holder(s)
University of the Thai Chamber of Commerce
Bibliographic Citation
Chih-Kun Ke (2012) Research on Optimized Problem-solving Solutions Selection of the ProductionProcess. UTCC Engineering Research Papers.
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