2012
DOI: 10.1007/978-3-642-32885-5_9
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Event-Driven Manufacturing Process Management Approach

Abstract: Abstract. Timely insight into manufacturing processes events can help in improving its efficiency and agility. Events are state change in process execution that can be not only monitored but correlated and managed in order to take immediate action. In this paper a new approach to develop event driven manufacturing process management solutions is presented. The event-driven architecture is considered as the basis to design a unified modeling methodology which enables near real time event stream processing. The … Show more

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Cited by 17 publications
(8 citation statements)
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References 14 publications
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“…By monitoring user preferences and claims, companies can formalize the decision-making workflow based on a complex streaming analysis problem for better strategic planning of future events (Lanza-Cruz, Berlanga, and Aramburu 2018). By monitoring business-related events within an enterprise network or manufacturing process, companies can improve the efficiency and agility of the manufacturing processes (Estruch and Álvaro 2012), trace the origin of a network threat (Ren and Wang 2019), identify emerging trends for business transactions (Akila, Govindasamy, and Sandosh 2016), and predict the micro-location patterns of software firms (Kinne and Resch 2018). These detected events can further enable real-time, automatic and systematic reactions based on practical reasoning for business intelligence.…”
Section: Business Intelligencementioning
confidence: 99%
“…By monitoring user preferences and claims, companies can formalize the decision-making workflow based on a complex streaming analysis problem for better strategic planning of future events (Lanza-Cruz, Berlanga, and Aramburu 2018). By monitoring business-related events within an enterprise network or manufacturing process, companies can improve the efficiency and agility of the manufacturing processes (Estruch and Álvaro 2012), trace the origin of a network threat (Ren and Wang 2019), identify emerging trends for business transactions (Akila, Govindasamy, and Sandosh 2016), and predict the micro-location patterns of software firms (Kinne and Resch 2018). These detected events can further enable real-time, automatic and systematic reactions based on practical reasoning for business intelligence.…”
Section: Business Intelligencementioning
confidence: 99%
“…In [9] a framework is described which combines business process execution and complex event processing in order to detect possible problems and delays in packet delivery, so that appropriate measures can be taken. [6] describes an approach called Event Driven Manufacturing Process Management which includes Event Driven Architecture, Complex Event Processing and Business Activiti Monitoring into process models. A process engine executes process models, finds complex events and then throws them so that other running applications can handle them.…”
Section: State Of the Artmentioning
confidence: 99%
“…The basic necessity of profound methods for the technical specification of complex events in the BPMJ 20,4 context of business processes has motivated extensive research activities. In most cases these contributions propose an extension of the Business Process Modeling Notation (BPMN) for modeling goals, high-level events or even whole business situations (Charles and Hollunder, 2011;Decker et al, 2007;Estruch and Heredia Á lvaro, 2012;Koetter and Kochanowski, 2013;Kunz et al, 2010;Rajsiri et al, 2011;Schiefer and Seufert, 2010). One recently presented concept copes with the integration of dedicated event stream processing units within the BPMN representation of the overall business process (Appel et al, 2013).…”
Section: Synthesizing and Analyzing The Current State Of Researchmentioning
confidence: 99%
“…One recently presented concept copes with the integration of dedicated event stream processing units within the BPMN representation of the overall business process (Appel et al, 2013). In contrast, some first approaches explicitly seek a graphical solution for the specification of CEP event patterns (Decker et al, 2007;Estruch and Heredia Á lvaro, 2012;Kunz et al, 2010). Other concepts look for a possible integration of business events (Costello and Molloy, 2008;Döhring et al, 2010;Giorgio, 2012) or even whole BAM artifacts (Friedenstab et al, 2012) with, e.g.…”
Section: Synthesizing and Analyzing The Current State Of Researchmentioning
confidence: 99%