{"created":"2025-01-19T01:29:55.228447+00:00","updated":"2025-01-19T11:13:18.400432+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00230266","sets":["6504:11436:11440"]},"path":["11440"],"owner":"44499","recid":"230266","title":["マルチエージェントシミュレーションを用いた代替出勤依頼モデルの提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2023-02-16"},"_buckets":{"deposit":"ea9f9d49-3602-42be-9d70-4573dcc38a0c"},"_deposit":{"id":"230266","pid":{"type":"depid","value":"230266","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"マルチエージェントシミュレーションを用いた代替出勤依頼モデルの提案","author_link":["619514","619512","619513","619511"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"マルチエージェントシミュレーションを用いた代替出勤依頼モデルの提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2023-02-16","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"北大"},{"subitem_text_value":"北大"},{"subitem_text_value":"北大"},{"subitem_text_value":"北大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/230266/files/IPSJ-Z85-6ZM-04.pdf","label":"IPSJ-Z85-6ZM-04.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-17"}],"format":"application/pdf","filename":"IPSJ-Z85-6ZM-04.pdf","filesize":[{"value":"317.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"c987574d-cb7d-4377-a61e-e563f2a59ad4","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2023 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"千坂, 知也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"横山, 想一郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山下, 倫央"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"川村, 秀憲"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では、マルチエージェントシミュレーションを用いて、従業員の欠勤が発生しやすい労働集約型の産業における、代替出勤依頼モデルを提案する。提案するモデルでは数理最適化ソフトウェアCPLEXを用いてナーススケジューリング問題を解くことで従業員の勤務表を作成した後、確率的に欠勤を発生させ、代替出勤依頼を行う。勤務表作成時に課した制約条件を満たす代替出勤の候補従業員に対して、順番に出勤を依頼し、候補者は確率的に出勤の可否を応答する。これを代替出勤者の確保が完了するまで全日程に対し繰り返す。実験から、候補従業員に対し代替出勤依頼を依頼する順番を決定する戦略と、代替出勤者の過剰確保または不足、引受従業員の偏りとの関係を示した。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"962","bibliographic_titles":[{"bibliographic_title":"第85回全国大会講演論文集"}],"bibliographicPageStart":"961","bibliographicIssueDates":{"bibliographicIssueDate":"2023-02-16","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2023"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":230266,"links":{}}