{"title":"基于云的自动化和需求预测的工业物联网质量全球企业库存管理模型","authors":"A. Jayaram","doi":"10.1109/CCAA.2017.8230011","DOIUrl":null,"url":null,"abstract":"Inventory management is an important function of every global enterprise. Enterprises often make financial loss when the goods get misplaced and when they are lost. There is a need for a quality inventory management model that enterprises can implement easily. Enterprises can make more revenue when the inventory is managed efficiently with computational intelligence and predictive analytics. Industrial Internet of Things (IIoT) collects useful data from machines and sensors which can be used for demand forecasting of the enterprise and automation. The proposed IIoT Quality Inventory Management Model can be used for automation and demand forecasting of the inventories.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":"46 1","pages":"1258-1263"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"An IIoT quality global enterprise inventory management model for automation and demand forecasting based on cloud\",\"authors\":\"A. Jayaram\",\"doi\":\"10.1109/CCAA.2017.8230011\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Inventory management is an important function of every global enterprise. Enterprises often make financial loss when the goods get misplaced and when they are lost. There is a need for a quality inventory management model that enterprises can implement easily. Enterprises can make more revenue when the inventory is managed efficiently with computational intelligence and predictive analytics. Industrial Internet of Things (IIoT) collects useful data from machines and sensors which can be used for demand forecasting of the enterprise and automation. The proposed IIoT Quality Inventory Management Model can be used for automation and demand forecasting of the inventories.\",\"PeriodicalId\":6627,\"journal\":{\"name\":\"2017 International Conference on Computing, Communication and Automation (ICCCA)\",\"volume\":\"46 1\",\"pages\":\"1258-1263\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing, Communication and Automation (ICCCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCAA.2017.8230011\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing, Communication and Automation (ICCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAA.2017.8230011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An IIoT quality global enterprise inventory management model for automation and demand forecasting based on cloud
Inventory management is an important function of every global enterprise. Enterprises often make financial loss when the goods get misplaced and when they are lost. There is a need for a quality inventory management model that enterprises can implement easily. Enterprises can make more revenue when the inventory is managed efficiently with computational intelligence and predictive analytics. Industrial Internet of Things (IIoT) collects useful data from machines and sensors which can be used for demand forecasting of the enterprise and automation. The proposed IIoT Quality Inventory Management Model can be used for automation and demand forecasting of the inventories.