製品選択を伴う保全へのマルコフ決定過程の適用

カテゴリ: 論文誌(論文単位)

グループ名: 【C】電子・情報・システム部門

発行日: 2022/07/01

タイトル(英語): Applying Markov Decision Processes to Maintenance with Product Selection

著者名: 前田　康成（北見工業大学地域未来デザイン工学科）

著者名(英語): Yasunari Maeda (School of Regional Innovation and Social Design Engineering, Kitami Institute of Technology)

キーワード: 保全，マルコフ決定過程，製品，稼働による設備状態遷移確率，期待利益　　maintenance，Markov decision processes，product，equipment state transition probability for operation，expected profit

要約(英語): There is a lot of previous research on maintenance problems. In some previous research, an expected profit is maximized considering sales amount of product. In the previous research, product selection is not considered. The expected profit depends on product selection when sales amount and equipment state transition probabilities for operation (probabilities of equipment deterioration) of each product are different. In this research, maintenance problem with product selection is studied. Sales amount and equipment state transition probabilities for operation of each product are different. The maintenance problem with product selection is modeled by Markov decision processes. A new maintenance method which maximizes the expected profit based on statistical decision theory is proposed. In the proposed method, dynamic programming method is used. The effectiveness of the proposed method is shown by some computational examples. The expected profit of the proposed method is greater than that of a comparison target. In this research, the expected profit is maximized under the condition that all probabilities are known. But the probabilities are unknown in real cases. An expansion of this research with unknown probabilities is one of further works.

本誌: 電気学会論文誌C（電子・情報・システム部門誌） Vol.142 No.7 （2022） 特集：2021年電子・情報・システム部門大会

本誌掲載ページ: 788-795 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejeiss/142/7/142_788/_article/-char/ja/