Reliability improvement of industrial robots by optimizing operation plans based on deterioration evaluation

A. Yamada, S. Takata

    Research output: Contribution to journalArticle

    25 Citations (Scopus)

    Abstract

    This paper proposes a novel method for improving reliability of manufacturing facilities by optimizing operating conditions so as to reduce deterioration of critical components and to extend the life of facilities. The method is applied to an industrial robot. For deterioration evaluation, a life cycle simulation system has been developed. It evaluates wear of joint gears, which has critical effects on the accuracy of industrial robots. Optimization of operating conditions, defined in terms of layout of the robot and in motion pattern, is performed by means of a hybrid GA, which consists of genetic algorithm and simulated annealing. The effectiveness of the method has been verified by applying the method to assembly robots.

    Original languageEnglish
    Pages (from-to)319-322
    Number of pages4
    JournalCIRP Annals - Manufacturing Technology
    Volume51
    Issue number1
    Publication statusPublished - 2002

    Fingerprint

    Industrial robots
    Deterioration
    Robots
    Simulated annealing
    Gears
    Life cycle
    Genetic algorithms
    Wear of materials

    Keywords

    • Deterioration evaluation
    • Operation plan
    • Reliability improvement

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

    Cite this

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