ダイナミックプライシングと製造数の選択を考慮した保全

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: 2023/08/01

タイトル(英語): Maintenance Considering Dynamic Pricing and Production Quantity 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: デジタルトランスフォーメーション，保全，ダイナミックプライシング，製造数の選択，マルコフ決定過程　　digital transformation，maintenance，dynamic pricing，production quantity selection，Markov decision process

要約(英語): In recent years, digital transformation (DX) has been promoted. In addition to the integration of databases and systems, the creation of new value (increase in profit) through cooperation among multiple departments is also expected. In previous research, maintenance considering dynamic pricing is studied, which corresponds to cooperation between the sales department and the manufacturing department. In order to maximize profit, it is necessary to optimize the production quantity, but the production quantity is fixed in the previous research. In this research, maintenance considering dynamic pricing and production quantity selection is studied. A new maintenance method is proposed, which maximizes the expected profit based on statistical decision theory. Markov decision process is used in order to represent the maintenance problem. 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 states and probabilities are known. But some of those are unknown in real cases. An expansion of this research to research with unknown information 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.143 No.8 （2023） 特集Ⅰ：Smart City を支える高度な情報通信，センシング及び医療技術　特集Ⅱ：情報処理技術の適用による有用情報の獲得と応用

本誌掲載ページ: 786-792 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/143/8/143_786/_article/-char/ja/