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Jacobi C, Meier M, Herborn L, Furmans K (2020). Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications. Logistics Journal : Proceedings, Vol. 2020. (urn:nbn:de:0009-14-51439)

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%0 Journal Article
%T Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications
%A Jacobi, Christoph
%A Meier, Mathias
%A Herborn, Lutz
%A Furmans, Kai
%J Logistics Journal : Proceedings
%D 2020
%V 2020
%N 12
%@ 2192-9084
%F jacobi2020
%X Logistics and production systems are confronted with a highly volatile business environment, a situation which increasingly pushes common supply chain analytics approaches to their limits. Process mining is an emerging technique to provide insights into business processes as they are being executed. However, the application of process mining in cross-organizational context has not been conclusively researched. In a literature overview, we review a set of 34 papers on the application of process mining in supply chains and classify them according to a three-stage maturity model. We find the majority of academic publications (28 papers) to focus on the construction of cross-organizational process models, 5 publications to derive models for alerting deviations and recommending decision support, and 1 paper to focus on automatic adjustments of the system behavior. Based on these findings, we conclude that the exploitation of process mining will be a key competitive advantage in supply chain management in the upcoming years. This applies not only for the design and management of steady-state supply chains, but also for the rapid adaptation of new solutions in transient systems.
%L 620
%K Cross-Organization
%K Eingeschwungene Systeme
%K Ereignisprotokoll
%K Event Log
%K Inter-Organization
%K Organisationsübergreifend
%K Steady-state Systems
%K Supply Chain Analytics
%K Transient Systems
%K Transiente Systeme
%R 10.2195/lj_Proc_jacobi_en_202012_01
%U http://nbn-resolving.de/urn:nbn:de:0009-14-51439
%U http://dx.doi.org/10.2195/lj_Proc_jacobi_en_202012_01
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@Article{jacobi2020,
  author = 	"Jacobi, Christoph
		and Meier, Mathias
		and Herborn, Lutz
		and Furmans, Kai",
  title = 	"Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications",
  journal = 	"Logistics Journal : Proceedings",
  year = 	"2020",
  volume = 	"2020",
  number = 	"12",
  keywords = 	"Cross-Organization; Eingeschwungene Systeme; Ereignisprotokoll; Event Log; Inter-Organization; Organisations{\"u}bergreifend; Steady-state Systems; Supply Chain Analytics; Transient Systems; Transiente Systeme",
  abstract = 	"Logistics and production systems are confronted with a highly volatile business environment, a situation which increasingly pushes common supply chain analytics approaches to their limits. Process mining is an emerging technique to provide insights into business processes as they are being executed. However, the application of process mining in cross-organizational context has not been conclusively researched. In a literature overview, we review a set of 34 papers on the application of process mining in supply chains and classify them according to a three-stage maturity model. We find the majority of academic publications (28 papers) to focus on the construction of cross-organizational process models, 5 publications to derive models for alerting deviations and recommending decision support, and 1 paper to focus on automatic adjustments of the system behavior. Based on these findings, we conclude that the exploitation of process mining will be a key competitive advantage in supply chain management in the upcoming years. This applies not only for the design and management of steady-state supply chains, but also for the rapid adaptation of new solutions in transient systems.",
  issn = 	"2192-9084",
  doi = 	"10.2195/lj_Proc_jacobi_en_202012_01",
  url = 	"http://nbn-resolving.de/urn:nbn:de:0009-14-51439"
}
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RIS

TY  - JOUR
AU  - Jacobi, Christoph
AU  - Meier, Mathias
AU  - Herborn, Lutz
AU  - Furmans, Kai
PY  - 2020
DA  - 2020//
TI  - Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications
JO  - Logistics Journal : Proceedings
VL  - 2020
IS  - 12
KW  - Cross-Organization
KW  - Eingeschwungene Systeme
KW  - Ereignisprotokoll
KW  - Event Log
KW  - Inter-Organization
KW  - Organisationsübergreifend
KW  - Steady-state Systems
KW  - Supply Chain Analytics
KW  - Transient Systems
KW  - Transiente Systeme
AB  - Logistics and production systems are confronted with a highly volatile business environment, a situation which increasingly pushes common supply chain analytics approaches to their limits. Process mining is an emerging technique to provide insights into business processes as they are being executed. However, the application of process mining in cross-organizational context has not been conclusively researched. In a literature overview, we review a set of 34 papers on the application of process mining in supply chains and classify them according to a three-stage maturity model. We find the majority of academic publications (28 papers) to focus on the construction of cross-organizational process models, 5 publications to derive models for alerting deviations and recommending decision support, and 1 paper to focus on automatic adjustments of the system behavior. Based on these findings, we conclude that the exploitation of process mining will be a key competitive advantage in supply chain management in the upcoming years. This applies not only for the design and management of steady-state supply chains, but also for the rapid adaptation of new solutions in transient systems.
SN  - 2192-9084
UR  - http://nbn-resolving.de/urn:nbn:de:0009-14-51439
DO  - 10.2195/lj_Proc_jacobi_en_202012_01
ID  - jacobi2020
ER  -
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Wordbib

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ISI

PT Journal
AU Jacobi, C
   Meier, M
   Herborn, L
   Furmans, K
TI Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications
SO Logistics Journal : Proceedings
PY 2020
VL 2020
IS 12
DI 10.2195/lj_Proc_jacobi_en_202012_01
DE Cross-Organization; Eingeschwungene Systeme; Ereignisprotokoll; Event Log; Inter-Organization; Organisationsübergreifend; Steady-state Systems; Supply Chain Analytics; Transient Systems; Transiente Systeme
AB Logistics and production systems are confronted with a highly volatile business environment, a situation which increasingly pushes common supply chain analytics approaches to their limits. Process mining is an emerging technique to provide insights into business processes as they are being executed. However, the application of process mining in cross-organizational context has not been conclusively researched. In a literature overview, we review a set of 34 papers on the application of process mining in supply chains and classify them according to a three-stage maturity model. We find the majority of academic publications (28 papers) to focus on the construction of cross-organizational process models, 5 publications to derive models for alerting deviations and recommending decision support, and 1 paper to focus on automatic adjustments of the system behavior. Based on these findings, we conclude that the exploitation of process mining will be a key competitive advantage in supply chain management in the upcoming years. This applies not only for the design and management of steady-state supply chains, but also for the rapid adaptation of new solutions in transient systems.
ER
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  <abstract>Logistics and production systems are confronted with a highly volatile business environment, a situation which increasingly pushes common supply chain analytics approaches to their limits. Process mining is an emerging technique to provide insights into business processes as they are being executed. However, the application of process mining in cross-organizational context has not been conclusively researched. In a literature overview, we review a set of 34 papers on the application of process mining in supply chains and classify them according to a three-stage maturity model. We find the majority of academic publications (28 papers) to focus on the construction of cross-organizational process models, 5 publications to derive models for alerting deviations and recommending decision support, and 1 paper to focus on automatic adjustments of the system behavior. Based on these findings, we conclude that the exploitation of process mining will be a key competitive advantage in supply chain management in the upcoming years. This applies not only for the design and management of steady-state supply chains, but also for the rapid adaptation of new solutions in transient systems.</abstract>
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    <topic>Cross-Organization</topic>
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    <topic>Ereignisprotokoll</topic>
    <topic>Event Log</topic>
    <topic>Inter-Organization</topic>
    <topic>Organisationsübergreifend</topic>
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Bibliographic Citation Logistics Journal : referierte Veröffentlichungen, Vol. 2020, Iss. 12
Title

Maturity Model for Applying Process Mining in Supply Chains: Literature Overview and Practical Implications (eng)
Author Christoph Jacobi, Mathias Meier, Lutz Herborn, Kai Furmans
Language eng
Abstract Logistics and production systems are confronted with a highly volatile business environment, a situation which increasingly pushes common supply chain analytics approaches to their limits. Process mining is an emerging technique to provide insights into business processes as they are being executed. However, the application of process mining in cross-organizational context has not been conclusively researched. In a literature overview, we review a set of 34 papers on the application of process mining in supply chains and classify them according to a three-stage maturity model. We find the majority of academic publications (28 papers) to focus on the construction of cross-organizational process models, 5 publications to derive models for alerting deviations and recommending decision support, and 1 paper to focus on automatic adjustments of the system behavior. Based on these findings, we conclude that the exploitation of process mining will be a key competitive advantage in supply chain management in the upcoming years. This applies not only for the design and management of steady-state supply chains, but also for the rapid adaptation of new solutions in transient systems. Logistik- und Produktionssysteme sind mit einem äußerst volatilen Geschäftsumfeld konfrontiert, eine Situation, die die gängigen Ansätze der Supply Chain Analytics zunehmend an ihre Grenzen stoßen lässt. Process Mining ist eine neue Technik, um Einblicke in die Geschäftsprozesse zu gewinnen, während sie ausgeführt werden. Die Anwendung von Process Mining im organisationsübergreifenden Kontext ist jedoch noch nicht abschließend erforscht. In einem Literaturüberblick werden 34 Veröffentlichungen über die Anwendung von Process Mining im Supply Chain Management vorgestellt und nach einem dreistufigen Reifegradmodell klassifiziert. Die Mehrzahl der Publikationen (28 Veröffentlichungen) sind auf die Erstellung organisationsübergreifender Prozessmodelle konzentriert, 5 Veröffentlichungen stellen Modelle zur Warnung vor Abweichungen und zur Empfehlung von Entscheidungshilfen vor und eine Veröffentlichung beschreibt die automatische Anpassung des Systemverhaltens. Auf der Grundlage dieser Erkenntnisse wird geschlussfolgert, dass die Nutzung von Process Mining in den kommenden Jahren ein entscheidender Wettbewerbsvorteil im Supply Chain Management sein wird. Dies gilt nicht nur für die Gestaltung und das Management von stationären Lieferketten, sondern auch für die schnelle Anpassung neuer Lösungen in transienten Systemen.
Subject Cross-Organization, Eingeschwungene Systeme, Ereignisprotokoll, Event Log, Inter-Organization, Organisationsübergreifend, Steady-state Systems, Supply Chain Analytics, Transient Systems, Transiente Systeme
DDC 620
Rights fDPPL
URN: urn:nbn:de:0009-14-51439
DOI https://doi.org/10.2195/lj_Proc_jacobi_en_202012_01