Evaluating Fidelity of Explainable Methods for Predictive Process Analytics

2021 ◽  
pp. 64-72
Author(s):  
Mythreyi Velmurugan ◽  
Chun Ouyang ◽  
Catarina Moreira ◽  
Renuka Sindhgatta
Keyword(s):  
Process Analytics ◽  
Predictive Process

Using Convolutional Neural Networks for Predictive Process Analytics

2019 ◽  
Author(s):  
Vincenzo Pasquadibisceglie ◽  
Annalisa Appice ◽  
Giovanna Castellano ◽  
Donato Malerba
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Process Analytics ◽  
Predictive Process

scholarly journals Exploring Interpretability for Predictive Process Analytics

2020 ◽  
pp. 439-447
Author(s):  
Renuka Sindhgatta ◽  
Chun Ouyang ◽  
Catarina Moreira
Keyword(s):  
Process Analytics ◽  
Predictive Process

scholarly journals Predictive Process Adjustment by Detecting System Status of Vacuum Gripper in Real Time during Pick-Up Operations

Processes ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 634
Author(s):  
Sujeong Baek ◽  
Dong Oh Kim
Keyword(s):  
Real Time ◽  
Manufacturing Systems ◽  
Air Pressure ◽  
Economic Losses ◽  
Stable Operation ◽  
System Operation ◽  
Process Adjustment ◽  
Manufacturing Errors ◽  
Predictive Process ◽  
Considerable Loss

In manufacturing systems, pick-up operations by vacuum grippers may fail owing to manufacturing errors in an object’s surface that are within the allowable tolerance limits. In such situations, manual interference is required to resume system operation, which results in considerable loss of time as well as economic losses. Although vacuum grippers have many advantages and are widely used in the industry, it is highly difficult to directly monitor the current machine status and provide appropriate recovery feedback for stable operation. Therefore, this paper proposes a method to detect the success or failure of a suction operation in advance by analyzing the amount of outlet air pressure in the Venturi line. This was achieved by installing an air pressure sensor on the Venturi line to predict whether the current suction action will be successful. Through empirical experiments, it was found that downward movements in the z-axis of the vacuum gripper can easily rectify a faulty gripper suction operation. Real-time monitoring results verified that predictive process adjustment of the pick-up operation can be performed by modifying the z-position of the vacuum gripper.

Process Analytics 4.0 ‐ A Paradigm Shift in Rapid Analytics for Biologics Development

2021 ◽  
Author(s):  
Dhanuka P. Wasalathanthri ◽  
Ruchir Shah ◽  
Julia Ding ◽  
Anthony Leone ◽  
Zheng Jian Li
Keyword(s):  
Paradigm Shift ◽  
Process Analytics

scholarly journals Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Julia Kruisz ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Process Analytics ◽  
Multistep Synthesis

scholarly journals Advanced Real‐Time Process Analytics for Multistep Synthesis in Continuous Flow**

2021 ◽  
Author(s):  
Peter Sagmeister ◽  
René Lebl ◽  
Ismael Castillo ◽  
Jakob Rehrl ◽  
Julia Kruisz ◽  
...  
Keyword(s):  
Real Time ◽  
Continuous Flow ◽  
Time Process ◽  
Process Analytics ◽  
Multistep Synthesis

Encoding resource experience for predictive process monitoring

2021 ◽  
pp. 113669
Author(s):  
Jongchan Kim ◽  
Marco Comuzzi ◽  
Marlon Dumas ◽  
Fabrizio Maria Maggi ◽  
Irene Teinemaa
Keyword(s):  
Process Monitoring ◽  
Predictive Process

scholarly journals Predictive Process Monitoring Methods: Which One Suits Me Best?

2018 ◽  
pp. 462-479 ◽  
Author(s):  
Chiara Di Francescomarino ◽  
Chiara Ghidini ◽  
Fabrizio Maria Maggi ◽  
Fredrik Milani
Keyword(s):  
Process Monitoring ◽  
Monitoring Methods ◽  
Predictive Process

Towards a Holistic Method for Business Process Analytics

2017 ◽  
pp. 168-183
Author(s):  
Gianna Reggio ◽  
Maurizio Leotta ◽  
Filippo Ricca ◽  
Egidio Astesiano
Keyword(s):  
Business Process ◽  
Process Analytics ◽  
Holistic Method
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