{"created":"2023-06-20T14:19:54.512845+00:00","id":3114,"links":{},"metadata":{"_buckets":{"deposit":"9009b96e-aaab-432a-a896-e44ac12bff7a"},"_deposit":{"created_by":3,"id":"3114","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"3114"},"status":"published"},"_oai":{"id":"oai:rku.repo.nii.ac.jp:00003114","sets":["188:592:609"]},"author_link":["6736","6737","6735"],"item_2_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2008-11","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"48","bibliographicPageStart":"33","bibliographicVolumeNumber":"51","bibliographic_titles":[{"bibliographic_title":"物流問題研究"}]}]},"item_2_creator_6":{"attribute_name":"著者名(日)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"増田, 悦夫"}],"nameIdentifiers":[{"nameIdentifier":"6735","nameIdentifierScheme":"WEKO"}]}]},"item_2_creator_7":{"attribute_name":"著者名よみ","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"マスダ, エツオ"}],"nameIdentifiers":[{"nameIdentifier":"6736","nameIdentifierScheme":"WEKO"}]}]},"item_2_description_1":{"attribute_name":"ページ属性","attribute_value_mlt":[{"subitem_description":"P(論文)","subitem_description_type":"Other"}]},"item_2_description_11":{"attribute_name":"抄録(日)","attribute_value_mlt":[{"subitem_description":"人・モノの状況や周辺環境の状況などを検知・認識するセンサの開発や利用が進んでいる。単体としての利用の他に,通信ネットワークやデータベースなどと連携させた高度な利用法の検討も進められている。物の輸配送や保管などを基本機能とする物流においても,安全・安心の確保,環境調和などの点から今後の積極的な活用が期待される。本稿では,物流分野におけるセンサ活用の現状と今後の展望について論じた。まず,センサの概要として,その必要性と役割,仕組み,センサの種類と用途例,利用パタンについて一般的な整理を行った。続いて,物流分野に焦点をあて,物流の使命を果たすための基本的課題を整理し,その課題の解決にセンサがどのように寄与し得るかの観点からセンサの役割を整理した。さらに,物流の現状における主要な活用事例として車輌運行状況や荷物輸送状況の監視といった輸配送に関連するもの,仕分けの自動化やピッキングミスの自動検出といった物流センタ業務に関連するものなどを紹介した。最後に,現状のセンサ活用状況を,前述の物流におけるセンサの役割の整理と対応づけて整理するとともに,その結果に基づき,今後期待される活用についての展望を述べた。","subitem_description_type":"Other"}]},"item_2_full_name_8":{"attribute_name":"著者名(英)","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"6737","nameIdentifierScheme":"WEKO"}],"names":[{"name":"MASUDA, ETSUO","nameLang":"en"}]}]},"item_2_source_id_13":{"attribute_name":"雑誌書誌ID","attribute_value_mlt":[{"subitem_source_identifier":"AA11473280","subitem_source_identifier_type":"NCID"}]},"item_2_text_10":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"RYUTSU KEIZAI UNIVERSITY"}]},"item_2_text_2":{"attribute_name":"記事種別(日)","attribute_value_mlt":[{"subitem_text_value":"論文"}]},"item_2_text_3":{"attribute_name":"記事種別(英)","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Article"}]},"item_2_text_9":{"attribute_name":"著者所属(日)","attribute_value_mlt":[{"subitem_text_value":"流通経済大学流通情報学部"}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2008-11-01"}],"displaytype":"detail","filename":"KJ00005541748.pdf","filesize":[{"value":"1.6 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://rku.repo.nii.ac.jp/record/3114/files/KJ00005541748.pdf"},"version_id":"ee821e88-8e23-43b8-b477-6f120225a14a"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"departmental bulletin paper","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"物流におけるセンサ活用の現状と今後の展望","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"物流におけるセンサ活用の現状と今後の展望"},{"subitem_title":"On Physical Distribution Systems Enhanced by the Data from Sensing Devices","subitem_title_language":"en"}]},"item_type_id":"2","owner":"3","path":["609"],"pubdate":{"attribute_name":"公開日","attribute_value":"2008-11-01"},"publish_date":"2008-11-01","publish_status":"0","recid":"3114","relation_version_is_last":true,"title":["物流におけるセンサ活用の現状と今後の展望"],"weko_creator_id":"3","weko_shared_id":-1},"updated":"2023-06-20T16:27:15.790526+00:00"}