故障原因特定時間の期待値最小化に基づく作業指示方法  [in Japanese] Work Instruction Method Based on the Expected Value Minimization of Failure Cause Identification Working Hours  [in Japanese]

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Abstract

機器の故障原因の迅速な特定のために,原因特定に要する作業時間の期待値に基づいて作業を指示する方法を提案する.本方法では,故障原因特定のための2種類の作業,すなわち故障原因の候補を絞り込むための診断作業と,真の故障原因を特定するための確認作業をノードとするグラフィカルモデルを用い,グラフィカルモデルを分割した小規模なグループごとに期待値最小となる作業順序を決定する.故障原因を乱数で発生させるモンテカルロシミュレーションを用いて提案方法を評価し,従来の作業指示方法と比較して原因特定にかかる作業時間を短縮できることを確認した.

To expedite the identification of a machine failure causes, this paper proposes a work instruction method based on expected value of working hours to identify the failure cause. Failure cause identification generally includes two types of work, which are diagnosis to narrow down the candidates of failure causes and confirmation to identify the actual failure cause. In this paper, a structure of interrelations among the works is modeled using a graphical model, on whose nodes working hours, probabilities concerning failure cause existence, and reliabilities concerning diagnostic results are defined. In the proposed methods, the graphical model is divided into small groups to reduce computational complexity. An optimal work instruction is decided to minimize the expected value of working hours for each group. After instructed work has been executed, the remaining work instructions, including the next optimal work, are updated. The method was evaluated using Monte Carlo simulation, in which actual failure causes and results of diagnostic work are decided with random numbers under defined probabilities and reliabilities. In the evaluation, the proposed method is compared with conventional methods that follow a flow chart of failure cause identification and instruct only the confirmation work with the expected value of working hours. As a result, it was confirmed that failure cause identification working hours of the proposed method are shorter than those of the conventional methods.

Journal

  • Journal of Japan Industrial Management Association

    Journal of Japan Industrial Management Association 67(1), 37-48, 2016

    Japan Industrial Management Association

Codes

  • NII Article ID (NAID)
    130005155916
  • NII NACSIS-CAT ID (NCID)
    AN10561806
  • Text Lang
    JPN
  • ISSN
    1342-2618
  • NDL Article ID
    027289447
  • NDL Call No.
    Z4-298
  • Data Source
    NDL  J-STAGE 
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