NDLI: Batch Regions: Process Instance Synchronization Based on Data

Content Provider	IEEE Xplore Digital Library
Author	Pufahl, L. Meyer, A. Weske, M.
Copyright Year	2014
Description	Author affiliation: Bus. Process Technol. Group, Univ. of Potsdam, Potsdam, Germany (Pufahl, L.; Meyer, A.; Weske, M.)
Abstract	Business process automation improves organizations' efficiency to perform work. In existing business process management systems, process instances run independently from each other. However, synchronizing instances carrying similar characteristics, i.e., sharing the same data, can reduce process execution costs. For example, if an online retailer receives two orders from one customer, there is a chance that they can be packed and shipped together to save shipment costs. In this paper, we extend the concept of batch activities to batch regions consisting of a set of connected activities instead of a single activity. Further, we use concepts from the database domain and introduce data views to business processes to distinguish process instances which can be synchronized. We also evaluate the concepts introduced in this paper with a case study comparing costs for normal and batch processing.
Starting Page	150
Ending Page	159
File Size	277385
Page Count	10
File Format	PDF
ISBN	9781479954704
ISSN	15417719
DOI	10.1109/EDOC.2014.29
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-01
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Data models Clustering algorithms Synchronization Business Batch production systems Complexity theory Databases data view BPM batch processing process instance grouping
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Activity Instance Oriented Handling in Workflows

Fault detection of multi-phase batch process based on adaptive FCM

Research on batch process model based fault detection

A study of density-grid based clustering algorithms on data streams

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

An Algorithm on the Mining of Batch Processing Process

Controller performance assessment of batch processes based on dynamic time warping

2-D theory based integrated predictive iterative learning control for batch process

Business process change management based on process model synchronization of multiple abstraction levels

Batch Regions: Process Instance Synchronization Based on Data

Similar Documents

Activity Instance Oriented Handling in Workflows

Fault detection of multi-phase batch process based on adaptive FCM

Research on batch process model based fault detection

A study of density-grid based clustering algorithms on data streams

Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of the Data

An Algorithm on the Mining of Batch Processing Process

Controller performance assessment of batch processes based on dynamic time warping

2-D theory based integrated predictive iterative learning control for batch process

Business process change management based on process model synchronization of multiple abstraction levels

Batch Regions: Process Instance Synchronization Based on Data