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Designing a use case for supply chain resilience based on process mining
ID
Sekulovska, Angela
(
Author
),
ID
Morelli, Frank
(
Author
),
ID
Siurdyban, Artur
(
Author
),
ID
Manfreda, Anton
(
Author
),
ID
Schätter, Frank
(
Author
)
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URL - Source URL, Visit
https://akwi.hswlu.ch/article/view/4563
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Abstract
Amidst global disruptions, the significance of Supply Chain Resilience (SCR) has surged in scholarly and practical discourse. This paper endeavors to craft an industry-neutralconceptual dashboard, tailored for in-house consultants, to measureand oversee SCR. Drawing from the SCOR model's resilience metrics, Key Resilience Areas (KRAs), and Accenture's SCR application, this study presents a practical use case for deploying such a dashboard. Expert evaluation by process mining and supply chain specialists highlighted potential enhancements for the dashboard.
Language:
English
Keywords:
supply chain resilience management
,
process mining
,
SCOR model
,
key resilience areas
,
design science research
Work type:
Article
Typology:
1.01 - Original Scientific Article
Organization:
EF - School of Economics and Business
Publication status:
Published
Publication version:
Version of Record
Year:
2023
Number of pages:
14 str.
Numbering:
Nr. 18
PID:
20.500.12556/RUL-167431
UDC:
658.7
ISSN on article:
2296-4592
DOI:
10.26034/lu.akwi.2023.4204
COBISS.SI-ID:
180055811
Publication date in RUL:
21.02.2025
Views:
870
Downloads:
256
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Record is a part of a journal
Title:
Anwendungen und Konzepte der Wirtschaftsinformatik
Shortened title:
Anwend. Konzepte Wirtsch.inform.
Publisher:
Institut für Wirtschaftsinformatik, Hochschule Luzern - Wirtschaft
ISSN:
2296-4592
COBISS.SI-ID:
142131203
Licences
License:
CC BY-NC 4.0, Creative Commons Attribution-NonCommercial 4.0 International
Link:
http://creativecommons.org/licenses/by-nc/4.0/
Description:
A creative commons license that bans commercial use, but the users don’t have to license their derivative works on the same terms.
Secondary language
Language:
German
Title:
Mensch-Maschine-Zusammenarbeit bei der Entscheidungsfindung
Keywords:
management
,
preskrbovalne verige
,
modeli
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