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Archive for April, 2014

BPM center

Conferences on Business Process Management

Business Process Management (BPM) is the discipline that combines knowledge from information technology and knowledge from management sciences and applies this to operational business processes. It has received considerable attention in recent years due to its potential for significantly increasing productivity and saving costs. Moreover, today there is an abundance of BPM systems. These systems are generic software systems that are driven by explicit process designs to enact and manage operational business processes.

BPM can be seen as an extension of Workflow Management (WFM). WFM primarily focuses on the automation of business processes, whereas BPM has a broader scope: from process automation and process analysis to operations management and the organization of work. On the one hand, BPM aims to improve operational business processes, possibly without the use of new technologies. For example, by modeling a business process and analyzing it using simulation, management may get ideas on how to reduce costs while improving service levels. On the other hand, BPM is often associated with software to manage, control, and support operational processes. This was the initial focus of WFM. However, traditional WFM technology aimed at the automation of business processes in a rather mechanistic manner without much attention for human factors and management support

Business Process Management

BPM center

Recently, process mining emerged as a new scientific discipline on the interface between process models and event data. On the one hand, conventional Business Process Management (BPM) and Workflow Management (WfM) approaches and tools are mostly model-driven with little consideration for event data. On the other hand, Data Mining (DM), Business Intelligence (BI), and Machine Learning (ML) focus
on data without considering end-to-end process models. Process mining aims to bridge the gap between BPM and WfM on the one hand and DM, BI, and ML on the other hand. Here, the challenge is to turn torrents of event data (“Big Data”) into valuable insights related to process performance and compliance. Fortunately, process mining results can be used to identify and understand bottlenecks, inefficiencies, deviations, and risks.

Process Mining in healthcare

Data Mining

Workflow Management

 

Petri Net

Business Intelligence

 

Links

Apr 11

University of Tehran

Sanabad Golbahar Institute of Higher Education

University of Khayyam

Golbahar Univercity of Science and New Technology

Hamdam charity خیریه توانبخشی دختران بی سرپرست و کم توان ذهنی فتح المبین

Mahak charity موسسه خیریه حمایت از کودکان مبتلا به سرطان- محک

واحد فراهم آوری اعضای پیوندی

وزارت علوم، تحقیقات و فناوری