{"created":"2023-07-27T07:48:08.324220+00:00","id":22799,"links":{},"metadata":{"_buckets":{"deposit":"aaa356a7-f88c-49c0-8230-616d8275e370"},"_deposit":{"created_by":20,"id":"22799","owners":[20],"pid":{"revision_id":0,"type":"depid","value":"22799"},"status":"published"},"_oai":{"id":"oai:doshisha.repo.nii.ac.jp:00022799","sets":["4251:8393:8394:8395:8398","8:3372:3812:3815"]},"author_link":["19993","19994","17415"],"item_1693811493084":{"attribute_name":"出版タイプ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_1694490770713":{"attribute_name":"権利者情報","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"DA03974933","nameIdentifierScheme":"AID"}],"rightHolderNames":[{"rightHolderLanguage":"ja","rightHolderName":"同志社大学理工学研究所"},{"rightHolderLanguage":"en","rightHolderName":"Science and Engineering Research Institute of Doshisha University"}]}]},"item_1_biblio_info_14":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2014-07-31","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"175","bibliographicPageStart":"166","bibliographicVolumeNumber":"55","bibliographic_titles":[{"bibliographic_title":"同志社大学理工学研究報告","bibliographic_titleLang":"ja"},{"bibliographic_title":"The Science and Engineering Review of Doshisha University","bibliographic_titleLang":"en"}]}]},"item_1_description_12":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"経営シミュレーションを行う最も重要な目的として最大利益を求めることがあげられる。しかし、これらのシミュレーション技法は人間的なファクタ、例えばスタッフの疲労や客の不満といった要素を考慮していなかった。また、それらのファクタを表現することは事実上不可能であり、仮に表現できたとしてもそれらの支配する法則を数式で表現することは困難であった。この問題を解決するために、本論文ではMAS(Multi-Agent Simulation)という手法を提案する。MASは分散的なシミュレーション技法であり、エージェントと環境という2つの要素からなる。本論文では飲食店の経営シミュレーションに焦点を当てた。飲食店では基本的に店員と客という2種のエージェントが存在する。そこで、私達はキッチンエージェント・ホールエージェント・客エージェントという3種の異なったエージェントを作成し、それぞれのエージェントを自律行動させた。そして、店員の人数の変化による利益の変化をシミュレーションした。つまり、本論文はマルチエージェントシミュレーションを用いることで、利益が最大となる店員の人数の最適解を求解するものである。","subitem_description_language":"ja","subitem_description_type":"Abstract"},{"subitem_description":"The one of the most important aims of management simulation is to optimize the profit. These don't consider the human factor, such as fatigue of staffs and dissatisfaction of the customers. This is partly because describing such kind of human factor is virtually impossible and even if we could describe, it is difficult to solve the equation which describes the system to be simulated. To solve this problem, this article proposes the adoption of MAS(Multi Agent Simulation) technique. MAS is the method of simulation with distributed nature. MAS contains two dominant components; agent and environment. Our current target is the management simulation of a restaurant. In any restaurant, there are essentially two different agents; one is a staff agent and the other is a customer agent. Therefore we designed three different kinds of agents for the simulation of restaurant; first one is a kitchen agent(KA), the second agent is a hall agent(HA), and the third agent is a consumer agent(CA). We have simulated the profit of restaurant when we change the number of staffs. This simulation describes the optimal solution of the number of staffs.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_1_description_25":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_1_identifier_registration":{"attribute_name":"ID登録","attribute_value_mlt":[{"subitem_identifier_reg_text":"10.14988/pa.2017.0000013596","subitem_identifier_reg_type":"JaLC"}]},"item_1_publisher_15":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"同志社大学理工学研究所","subitem_publisher_language":"ja"}]},"item_1_publisher_16":{"attribute_name":"出版者（英）","attribute_value_mlt":[{"subitem_publisher":"Science and Engineering Research Institute of Doshisha 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栄毅 / Graduate School of Science and Engineering, Doshisha University"},{"subitem_text_language":"ja","subitem_text_value":"織田, 憲二郎 / Graduate School of Science and Engineering, Doshisha University"},{"subitem_text_language":"ja","subitem_text_value":"芳賀, 博英 / 同志社大学理工学部インテリジェント情報工学科教授"}]},"item_1_text_9":{"attribute_name":"著者所属（英）","attribute_value_mlt":[{"subitem_text_language":"en","subitem_text_value":"Doshisha University"}]},"item_access_right":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access","subitem_access_right_uri":"http://purl.org/coar/access_right/c_abf2"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"西村, 栄毅","creatorNameLang":"ja"},{"creatorName":"ニシムラ, ハルキ","creatorNameLang":"ja-Kana"},{"creatorName":"Nishimura, Haruki","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"織田, 憲二郎","creatorNameLang":"ja"},{"creatorName":"オダ, ケンジロウ","creatorNameLang":"ja-Kana"},{"creatorName":"Oda, Kenjiro","creatorNameLang":"en"}],"nameIdentifiers":[{},{}]},{"creatorNames":[{"creatorName":"芳賀, 博英","creatorNameLang":"ja"},{"creatorName":"ハガ, ヒロヒデ","creatorNameLang":"ja-Kana"},{"creatorName":"Haga, Hirohide","creatorNameLang":"en"}],"nameIdentifiers":[{},{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2014-09-02"}],"displaytype":"detail","filename":"023055020009.pdf","filesize":[{"value":"1.4 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simulation","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"optimization","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"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":"マルチエージェントシミュレーションを用いた店員の最適配置の求解","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店員の最適配置の求解","subitem_title_language":"ja"},{"subitem_title":"マルチ エージェント シミュレーション オ モチイタ テンイン ノ サイテキ ハイチ ノ キュウカイ","subitem_title_language":"ja-Kana"},{"subitem_title":"Optimal staff allocation based on Multi-agent simulation","subitem_title_language":"en"}]},"item_type_id":"1","owner":"20","path":["3815","8398"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2014-09-02"},"publish_date":"2014-09-02","publish_status":"0","recid":"22799","relation_version_is_last":true,"title":["マルチエージェントシミュレーションを用いた店員の最適配置の求解"],"weko_creator_id":"20","weko_shared_id":-1},"updated":"2023-12-06T00:48:58.006756+00:00"}