2018-11-25
org.kosen.entty.User@18c9dc71
김애경(ak7979)
[Overview]
Mission of Industrial Artificial Intelligence (IAI Lab) - Manufacturing Intelligence (w/ Machine Learning and Deep Learning) - Operational Intelligence (w/ Process Mining and Decision Science) - Business Intelligence (w/ Data Warehousing and Data Mining)
Business Process Management (BPM) plays a critical role of bridging the divide between business and information technology. BPM aims at enhancing business performance by integrating business activities in value chain, which are generally performed with enterprise information systems, such as ERP, SCM, and CRM.
BPM Laboratory conducts research on developing and implementing business innovation techniques for operational excellence on the basis of business process modeling and analysis techniques in a variety of business area such as e-Biz (electronic business), i-Biz (internet business), and u-Biz (ubiquitous business). We envision the next generation of business process management which can embrace the future technologies, Big Data, Social Network Analysis, and the Internet of Things.
[Research]
* Business Process Management
BPM is a strategy for managing and improving the performance of business executions through continuous optimization of business processes in a closed-loop cycle of modeling, execution and measurement.
* Process Mining
Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains (IEEE TFoPM, 2011). [http]http://www.win.tue.nl/ieeetfpm
* Business Intelligence and Analytics (BIA)
Business performance management is crucial in business process management. For example, BSC (balanced score card) can be used for a major tool of monitoring and assessing the business performance. Business intelligence (BI) is the technique for business performance monitoring and assessment, while business analytics (BA) is the technique for finding out the solution for continuous improvement in business process.
* Social Media Analytics (SMA)
The Social Web (also known as Web 2.0) is a trend in web design, development and management. It can refer to a perceived second generation of web-based communities and hosted services, such as social-networking sites, wikis, and folksonomies, which aim to facilitate creativity, collaboration, and sharing between users.
* Internet of Things Analytics (IoTA)
The Internet of Things is expected to drive the next IT innovation in both of business service and human life. In particular, RFID and sensors will be adopted to support real-time supply chains and logistics in business environments.
Mission of Industrial Artificial Intelligence (IAI Lab) - Manufacturing Intelligence (w/ Machine Learning and Deep Learning) - Operational Intelligence (w/ Process Mining and Decision Science) - Business Intelligence (w/ Data Warehousing and Data Mining)
Business Process Management (BPM) plays a critical role of bridging the divide between business and information technology. BPM aims at enhancing business performance by integrating business activities in value chain, which are generally performed with enterprise information systems, such as ERP, SCM, and CRM.
BPM Laboratory conducts research on developing and implementing business innovation techniques for operational excellence on the basis of business process modeling and analysis techniques in a variety of business area such as e-Biz (electronic business), i-Biz (internet business), and u-Biz (ubiquitous business). We envision the next generation of business process management which can embrace the future technologies, Big Data, Social Network Analysis, and the Internet of Things.
[Research]
* Business Process Management
BPM is a strategy for managing and improving the performance of business executions through continuous optimization of business processes in a closed-loop cycle of modeling, execution and measurement.
* Process Mining
Process mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains (IEEE TFoPM, 2011). [http]http://www.win.tue.nl/ieeetfpm
* Business Intelligence and Analytics (BIA)
Business performance management is crucial in business process management. For example, BSC (balanced score card) can be used for a major tool of monitoring and assessing the business performance. Business intelligence (BI) is the technique for business performance monitoring and assessment, while business analytics (BA) is the technique for finding out the solution for continuous improvement in business process.
* Social Media Analytics (SMA)
The Social Web (also known as Web 2.0) is a trend in web design, development and management. It can refer to a perceived second generation of web-based communities and hosted services, such as social-networking sites, wikis, and folksonomies, which aim to facilitate creativity, collaboration, and sharing between users.
* Internet of Things Analytics (IoTA)
The Internet of Things is expected to drive the next IT innovation in both of business service and human life. In particular, RFID and sensors will be adopted to support real-time supply chains and logistics in business environments.
#Business Process Management #Process Mining #Social Media Analytics