Please use this identifier to cite or link to this item: doi:10.22028/D291-33421
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Title: Towards Guidelines of Modeling for Ecology-Aware Process Design
Author(s): Lübbecke, Patrick
Fettke, Peter UdsID
Loos, Peter UdsID
Editor(s): Teniente, Ernest
Weidlich, Matthias
Language: English
In:
Title: Business Process Management Workshops : BPM 2017 International Workshops, Barcelona, Spain, September 10-11, 2017, Revised Papers
Startpage: 510
Endpage: 519
Publisher/Platform: Springer
Year of Publication: 2018
Place of publication: Cham
Title of the Conference: BPM 2017
Place of the conference: Barcelona, Spain
Publikation type: Conference Paper
Abstract: During the last couple of years, the ecological impact of manufacturing and logistical processes gained importance. Many global players, including Walmart, Kellogg’s and L’Oréal, oblige their suppliers to eliminate greenhouse gas emissions in their operations. Contrary to this development, traditional process models are mostly compiled using entities, roles, or resources that are relevant for a mere economical description of a business process. To account for the rising importance of ecological matters, with this work in progress paper we provide ecology-oriented Guidelines of Modeling (EGoM). These design principles allow to compile process models, that can be assessed and optimized in terms of their ecological footprint. The principles are tested through the application of a technique for compliance checking, where we implement a search algorithm for ecological weakness patterns in process models to the BPM software ARIS. The results indicate that the Guidelines foster the application of Green BPM methods that help achieving ecology-friendly process design.
DOI of the first publication: 10.1007/978-3-319-74030-0_40
URL of the first publication: https://link.springer.com/chapter/10.1007/978-3-319-74030-0_40
Link to this record: hdl:20.500.11880/30734
http://dx.doi.org/10.22028/D291-33421
ISBN: 978-3-319-74030-0
978-3-319-74029-4
Date of registration: 25-Feb-2021
Notes: Lecture notes in business information processing ; 308
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Wirtschaftswissenschaft
Professorship: HW - Prof. Dr. Peter Loos
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes



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