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Model-Based Specification and Refinement for Cyber-Physical Systems Read chapter Read first chapter

2017 | OriginalPaper | Chapter

7. Process Maintenance of Heterogeneous Logistic Systems—A Process Mining Approach

Authors : Till Becker, Michael Lütjen, Robert Porzel

Published in: Dynamics in Logistics

Publisher: Springer International Publishing

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Abstract

Processes in manufacturing and logistics are characterized by a high frequency of changes and fluctuations, caused by the high number of participants in logistic processes. The heterogeneous landscape of data formats for information storage further complicates efforts to automatically extract process models from this data with the tools from Process Mining. This article introduces a concept for constantly updating process models in logistics, called Process Maintenance, collects requirements for a common view on information in logistics, and shows that Process Mining with logistic data is possible, but still needs improvement to become a regular practice.

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previous chapter Quality-Aware Predictive Scheduling of Raw Perishable Material Transports
next chapter A Synergistic Effect in Logistics Network
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Metadata
Title
Process Maintenance of Heterogeneous Logistic Systems—A Process Mining Approach
Authors
Till Becker
Michael Lütjen
Robert Porzel
Copyright Year
2017
Book
Dynamics in Logistics

Print ISBN: 978-3-319-45116-9

Electronic ISBN: 978-3-319-45117-6

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-45117-6_7

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