Evaluating early predictive performance of machine learning approaches for engineering change schedule – A case study using predictive process monitoring techniques

By applying machine learning algorithms, predictive business process monitoring (PBPM) techniques provide an opportunity to counteract undesired outcomes of processes. An especially complex variation of business processes is the engineering change (EC) process. Here, failing to adhere to planned imp...

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Vydáno v:	Supply Chain Analytics Ročník 8; s. 100087
Hlavní autoři:	Radišić-Aberger, Ognjen, Burggräf, Peter, Steinberg, Fabian, Becher, Alexander, Weißer, Tim
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.12.2024 Elsevier
Témata:	Earliness Effectivity Date Engineering Change Machine Learning Predictive Process Monitoring Engineering Change Predictive Process Monitoring Effectivity Date Earliness Machine Learning
ISSN:	2949-8635, 2949-8635
On-line přístup:	Získat plný text
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