{"created":"2020-09-01T09:54:54.756033+00:00","id":3303,"links":{},"metadata":{"_buckets":{"deposit":"f615dca6-c783-4ca2-a6e3-0bac5898f794"},"_deposit":{"id":"3303","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3303"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3303","sets":["1582963302567:1597824273898"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Optimal Scheduling for food production lined based on Mixed Integer Linear Programming","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"Nowadays, as the consumer marketbecomes quite competitive and challenging, togain the customer’s satisfactions is vital.Therefore, Decision Support System would play animportant role in mass production line. MILPwould be a proper theory to utilize. FoodProduction System is proposed by creating MILPmodel and the Big-M Method can be used forsolving process. Food Production Systemproduces production schedule in order to get therequired quantity on the user’s requested time.Moreover, the system helps with the decision toacquire the total minimum production cost. Inindustrial mass production, the input data such aslabor cost, machine working speed, kind ofproduct etc… would be various according todifferent condition. Even though the system workson a certain constraint, it still can dynamicallycreate updated relevant production schedules.Theobjective function that is minimized considers allmajor sources of production cost that depend onthe production schedule, i.e. changeover cost,inventory cost and labor cost. The model isapplied to a food production line of an industryand the results are presented and discussed."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-19"}],"displaytype":"preview","filename":"209_PDFsam_PSC_final proof.pdf","filesize":[{"value":"244 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3303/files/209_PDFsam_PSC_final proof.pdf"},"version_id":"9649ff42-8789-4837-8a1a-565708c8574a"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"Eighth Local Conference on Parallel and Soft Computing","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"","subitem_c_date":"","subitem_conference_title":"","subitem_part":"","subitem_place":"","subitem_session":"","subitem_website":""}]},"item_1583103211336":{"attribute_name":"Books/reports/chapters","attribute_value_mlt":[{"subitem_book_title":"","subitem_isbn":"","subitem_pages":"","subitem_place":"","subitem_publisher":""}]},"item_1583103233624":{"attribute_name":"Thesis/dissertations","attribute_value_mlt":[{"subitem_awarding_university":"","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Parami, Ananta"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Article"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2017-12-27"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/1067"},"item_title":"Optimal Scheduling for food production lined based on Mixed Integer Linear Programming","item_type_id":"21","owner":"1","path":["1597824273898"],"publish_date":"2019-07-19","publish_status":"0","recid":"3303","relation_version_is_last":true,"title":["Optimal Scheduling for food production lined based on Mixed Integer Linear Programming"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T05:49:39.659670+00:00"}