Batch Regions: Process Instance Synchronization Based on Data

Luise Pufahl, Andreas Meyer, Mathias Weske

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

25 Zitate (Scopus)

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.

OriginalspracheEnglisch
TitelProceedings - IEEE 18th International Enterprise Distributed Object Computing Conference, EDOC 2014
Redakteure/-innenManfred Reichert, Stefanie Rinderle-Ma, Georg Grossmann
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
Seiten150-159
Seitenumfang10
AuflageDecember
ISBN (elektronisch)9781479954704
DOIs
PublikationsstatusVeröffentlicht - 2 Dez. 2014
Extern publiziertJa
Veranstaltung18th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014 - Ulm, Deutschland
Dauer: 3 Sept. 20145 Sept. 2014

Publikationsreihe

NameProceedings . IEEE 18th international Enterprise Distributed object computing conference
NummerDecember
Band2014-December
ISSN (Print)1541-7719

Konferenz

Konferenz18th IEEE International Enterprise Distributed Object Computing Conference, EDOC 2014
Land/GebietDeutschland
OrtUlm
Zeitraum3/09/145/09/14

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