{"title":"工业项目监控中的可视化决策支持","authors":"Fan Li, F. Vernadat, A. Siadat, Li Zheng","doi":"10.1109/IEEM.2018.8607307","DOIUrl":null,"url":null,"abstract":"Regarding the changing global competitive environment in industry, companies are forced increasingly to respond to sophisticated and diverse customer demands with efficient decisions support. Therefore, it is necessary to develop a holistic, easy-to-use and efficient performance measurement and management methodology to support sound decision making in industrial project management. For this purpose, a benefit-cost-value-risk based methodology has been developed for comprehensive performance evaluation. Based on the methodology, a visualised approach has been proposed in this paper to further ease performance evaluation and decision support in industrial project monitoring and control.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualised Decision Support in Industrial Project Monitoring and Control\",\"authors\":\"Fan Li, F. Vernadat, A. Siadat, Li Zheng\",\"doi\":\"10.1109/IEEM.2018.8607307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Regarding the changing global competitive environment in industry, companies are forced increasingly to respond to sophisticated and diverse customer demands with efficient decisions support. Therefore, it is necessary to develop a holistic, easy-to-use and efficient performance measurement and management methodology to support sound decision making in industrial project management. For this purpose, a benefit-cost-value-risk based methodology has been developed for comprehensive performance evaluation. Based on the methodology, a visualised approach has been proposed in this paper to further ease performance evaluation and decision support in industrial project monitoring and control.\",\"PeriodicalId\":119238,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM.2018.8607307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2018.8607307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Visualised Decision Support in Industrial Project Monitoring and Control
Regarding the changing global competitive environment in industry, companies are forced increasingly to respond to sophisticated and diverse customer demands with efficient decisions support. Therefore, it is necessary to develop a holistic, easy-to-use and efficient performance measurement and management methodology to support sound decision making in industrial project management. For this purpose, a benefit-cost-value-risk based methodology has been developed for comprehensive performance evaluation. Based on the methodology, a visualised approach has been proposed in this paper to further ease performance evaluation and decision support in industrial project monitoring and control.