J. Vieira, Ana Paula Galdino DE Aguiar, F. Deschamps
{"title":"应用Dsr -设计科学研究方法开发APS -高级计划调度软件","authors":"J. Vieira, Ana Paula Galdino DE Aguiar, F. Deschamps","doi":"10.47174/lacat.2021-0011","DOIUrl":null,"url":null,"abstract":"The APS Advanced Planning System is a tool that brings competitive advantages in the optimization and manufacturing planning, allowing the efficient use of human and material resources, and in logistical integration, covering all production cycles. These points are fundamental in the manufacturing industry and represent a field of improvement opportunities. This work addresses the use of the Design Science Research methodology in the development of an advanced production and scheduling system, suggesting some improvements such as flexibility, reduction of human and other systems dependencies, and also the application of intelligent algorithms, aligned with the latest advances related to industry 4.0 and digital transformation.,","PeriodicalId":253193,"journal":{"name":"Anais do II Latin American Congress of Applied Technologies","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of the Dsr - Design Science Research method for the development of an APS - Advanced Planning and Scheduling software\",\"authors\":\"J. Vieira, Ana Paula Galdino DE Aguiar, F. Deschamps\",\"doi\":\"10.47174/lacat.2021-0011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The APS Advanced Planning System is a tool that brings competitive advantages in the optimization and manufacturing planning, allowing the efficient use of human and material resources, and in logistical integration, covering all production cycles. These points are fundamental in the manufacturing industry and represent a field of improvement opportunities. This work addresses the use of the Design Science Research methodology in the development of an advanced production and scheduling system, suggesting some improvements such as flexibility, reduction of human and other systems dependencies, and also the application of intelligent algorithms, aligned with the latest advances related to industry 4.0 and digital transformation.,\",\"PeriodicalId\":253193,\"journal\":{\"name\":\"Anais do II Latin American Congress of Applied Technologies\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-09-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Anais do II Latin American Congress of Applied Technologies\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.47174/lacat.2021-0011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Anais do II Latin American Congress of Applied Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47174/lacat.2021-0011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application of the Dsr - Design Science Research method for the development of an APS - Advanced Planning and Scheduling software
The APS Advanced Planning System is a tool that brings competitive advantages in the optimization and manufacturing planning, allowing the efficient use of human and material resources, and in logistical integration, covering all production cycles. These points are fundamental in the manufacturing industry and represent a field of improvement opportunities. This work addresses the use of the Design Science Research methodology in the development of an advanced production and scheduling system, suggesting some improvements such as flexibility, reduction of human and other systems dependencies, and also the application of intelligent algorithms, aligned with the latest advances related to industry 4.0 and digital transformation.,
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