Research on Optimized Problem-solving Solutions: Selection of the Production Process

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C. K. Ke

Abstract

In manufacturing industries, various problems may occur during the production process. The problems are complexand involve the relevant context of working environments. A problem-solving process is often initiated to create asolution and achieve a desired status. In this process, determining how to obtain a solution from the variouscandidate solutions is an important issue. In such uncertain working environments, context information can providerich clues for problem-solving decision making. This work uses a selection approach to determine an optimizedproblem-solving process which will assist workers in choosing reasonable solutions. A context-based utility modelexplores the problem context information to obtain candidate solution actual utility values; a multi-criteria decisionanalysis uses the actual utility values to determine the optimal selection order for candidate solutions. Theselection order is presented to the worker as an adaptive knowledge recommendation. The worker chooses areasonable problem-solving solution based on the selection order. This paper uses a high-tech company’sknowledge base log as a source of analysis data. The experimental results show that the chosen approach to anoptimized problem-solving solution selection is effective. The contribution of this research is a method which iseasy to implement in a problem-solving decision support system.

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How to Cite
Ke, C. K. (2013). Research on Optimized Problem-solving Solutions: Selection of the Production Process. Journal of Applied Research and Technology, 11(4). https://doi.org/10.1016/S1665-6423(13)71559-1
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