Deriving Business Process Data Architecturesfrom Process Model Collections

2013 ◽  
pp. 533-540 ◽  
Author(s):  
Rami-Habib Eid-Sabbagh ◽  
Marcin Hewelt ◽  
Andreas Meyer ◽  
Mathias Weske
Keyword(s):  
Business Process ◽  
Process Model ◽  
Process Data

scholarly journals Using Computerized Workflow Simulations to Assess the Feasibility of Whole Slide Imaging Full Adoption in a High-Volume Histology Laboratory

2012 ◽  
Vol 35 (1) ◽  
pp. 57-64 ◽  
Author(s):  
David S. McClintock ◽  
Roy E. Lee ◽  
John R. Gilbertson
Keyword(s):  
General Hospital ◽  
Business Process ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Massachusetts General Hospital ◽  
High Volume ◽  
Process Time ◽  
Whole Slide Imaging ◽  
Process Data

Background: Whole slide Imaging (WSI) has been touted by many as the future of pathology, with estimates of full adoption occurring sometime in the next 5 to 15 years. While WSI devices have become increasingly capable since their inception, there has been little consideration of how WSI will be implemented and subsequently affect the workflow of high volume histology laboratories.Methods: Histology workflow process data was collected from a high-volume histology laboratory (Massachusetts General Hospital) and a process model developed using business process management software. Computerized workflow simulations were performed and total histology process time evaluated under a number of different WSI conditions.Results: Total histology process time increased approximately 10-fold to 20-fold over baseline with the presence of one WSI robot in the histology workflow. Depending on the specifications of the WSI robot, anywhere from 9 to 14 WSI robots were required within the histology workflow to minimize the effects of WSI.Conclusion: Placing a WSI robot into the current workflow of a high-volume histology laboratory with the intent of full adoption is not feasible. Implementing WSI without making significant changes to the current workflow of the histology laboratory would prove to be both disruptive and costly to surgical pathology.

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience

2015 ◽  
Vol 38 (3) ◽  
pp. 21
Author(s):  
Scot Ausborn ◽  
Julia Rotondo ◽  
Tim Mulcahy
Keyword(s):  
Business Process ◽  
Process Model ◽  
General Social Survey ◽  
Business Process Model ◽  
Social Survey

Mapping the General Social Survey to the Generic Statistical Business Process Model: NORC's Experience

Extending QVT Relations for Business Process Model Transformation

2011 ◽  
Vol 22 (2) ◽  
pp. 195-210 ◽  
Author(s):  
Xiao HE ◽  
Zhi-Yi MA ◽  
Yan ZHANG ◽  
Wei-Zhong SHAO
Keyword(s):  
Business Process ◽  
Model Transformation ◽  
Process Model ◽  
Business Process Model ◽  
Qvt Relations

scholarly journals The Role of Industry 4.0 and BPMN in the Arise of Condition-Based and Predictive Maintenance: A Case Study in the Automotive Industry

2021 ◽  
Vol 11 (8) ◽  
pp. 3438
Author(s):  
Jorge Fernandes ◽  
João Reis ◽  
Nuno Melão ◽  
Leonor Teixeira ◽  
Marlene Amorim
Keyword(s):  
Business Process ◽  
Automotive Industry ◽  
Industry 4.0 ◽  
Process Model ◽  
Business Process Management ◽  
Process Management ◽  
Predictive Maintenance ◽  
The Evolution Of Industry

This article addresses the evolution of Industry 4.0 (I4.0) in the automotive industry, exploring its contribution to a shift in the maintenance paradigm. To this end, we firstly present the concepts of predictive maintenance (PdM), condition-based maintenance (CBM), and their applications to increase awareness of why and how these concepts are revolutionizing the automotive industry. Then, we introduce the business process management (BPM) and business process model and notation (BPMN) methodologies, as well as their relationship with maintenance. Finally, we present the case study of the Renault Cacia, which is developing and implementing the concepts mentioned above.

The structure and composition of the business process model

2020 ◽  
Author(s):  
Zhyldyz Kalpeyeva ◽  
Aizhan Kassymova ◽  
Timur Umarov ◽  
Akkyz Mustafina ◽  
Nurzhan Mukazhanov
Keyword(s):  
Business Process ◽  
Process Model ◽  
Business Process Model
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