{"title":"数据中心项目管理的时间顺序转换","authors":"M. Wiboonrat, Udomsak Kaewsiri","doi":"10.1109/WAC.2014.6935754","DOIUrl":null,"url":null,"abstract":"Different standards of process planning and control of data integration is always happening in all organizations which rely on paper works or electronic transactions. Since implementation of utility facility infrastructures and hardware/software applications is deployed on a different period. It can cause of service interruptions from many reasons for example, hardware failure or incompatibility, software failure or incompatibility, human error, upgrading system, and incompatible functions of system integration. To understand of ecological system malfunctions and system failures, we need to realize on each level of user requirements, application design, utility facility design, system configurations, system integration, system operations, system maintenance, and service quality management to increase the system reliability and robust system operations. This research proposes ecosystem model of data center project management (DCPM) in terms of total integrated system from user requirements, design and planning, implementation, monitoring and controlling, throughout the system operations and delivering service quality. Primary investigations via data processing and interview with data center experts and secondary literature reviews were conducted. The result findings revealed the critical factors that affect on DCPM success e.g., technology, consultant, contractor or implementer, marketing strategy, and operation and service team. These are the vital bases for delivering the project success.","PeriodicalId":196519,"journal":{"name":"2014 World Automation Congress (WAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A chronological transformation of data center project management\",\"authors\":\"M. Wiboonrat, Udomsak Kaewsiri\",\"doi\":\"10.1109/WAC.2014.6935754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Different standards of process planning and control of data integration is always happening in all organizations which rely on paper works or electronic transactions. Since implementation of utility facility infrastructures and hardware/software applications is deployed on a different period. It can cause of service interruptions from many reasons for example, hardware failure or incompatibility, software failure or incompatibility, human error, upgrading system, and incompatible functions of system integration. To understand of ecological system malfunctions and system failures, we need to realize on each level of user requirements, application design, utility facility design, system configurations, system integration, system operations, system maintenance, and service quality management to increase the system reliability and robust system operations. This research proposes ecosystem model of data center project management (DCPM) in terms of total integrated system from user requirements, design and planning, implementation, monitoring and controlling, throughout the system operations and delivering service quality. Primary investigations via data processing and interview with data center experts and secondary literature reviews were conducted. The result findings revealed the critical factors that affect on DCPM success e.g., technology, consultant, contractor or implementer, marketing strategy, and operation and service team. These are the vital bases for delivering the project success.\",\"PeriodicalId\":196519,\"journal\":{\"name\":\"2014 World Automation Congress (WAC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 World Automation Congress (WAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WAC.2014.6935754\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 World Automation Congress (WAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WAC.2014.6935754","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A chronological transformation of data center project management
Different standards of process planning and control of data integration is always happening in all organizations which rely on paper works or electronic transactions. Since implementation of utility facility infrastructures and hardware/software applications is deployed on a different period. It can cause of service interruptions from many reasons for example, hardware failure or incompatibility, software failure or incompatibility, human error, upgrading system, and incompatible functions of system integration. To understand of ecological system malfunctions and system failures, we need to realize on each level of user requirements, application design, utility facility design, system configurations, system integration, system operations, system maintenance, and service quality management to increase the system reliability and robust system operations. This research proposes ecosystem model of data center project management (DCPM) in terms of total integrated system from user requirements, design and planning, implementation, monitoring and controlling, throughout the system operations and delivering service quality. Primary investigations via data processing and interview with data center experts and secondary literature reviews were conducted. The result findings revealed the critical factors that affect on DCPM success e.g., technology, consultant, contractor or implementer, marketing strategy, and operation and service team. These are the vital bases for delivering the project success.