A Framework for Integrating Real-World Events and Business Processes in an IoT Environment

Mandal, Sankalita; Hewelt, Marcin; Weske, Mathias

doi:10.1007/978-3-319-69462-7_13

Cited by 23 publications

(14 citation statements)

References 13 publications

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“…In the same sense, in Mandal et al (2017) and Chiu and Wang (2015) the BPM notation is extended to specify the events produced by an event processing platform that feeds a business process engine. The paper focuses on the concept of smart factories, constitutive of Industry 4.0 and on the modeling of business processes as a means to analyze the complex collaborations of such a concept.…”

Section: Dynamic Process: Context-aware and Process-awarementioning

confidence: 99%

Industry 4.0 and business process management: state of the art and new challenges

Bazán

Estévez

2021

BPMJ

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PurposeThe objective of the work is to analyze the impact of the Internet of Things (IoT) concepts and associated technologies in the framework of organizations and the management of their processes and how event orientation, as well as the structure of said business processes, can play an important role in this new organizational model. The main contribution of this work is to present a conceptualization of the research, identify approaches and challenges that require further study, and as a result, a proposal for future research.Design/methodology/approachThe methodology comprises a qualitative analysis using secondary data. The approach relies on searches of scientific papers conducted in well-known databases, identifying research work around the IoT and Industry 4.0 applied to business process management. Based on the identified papers, the authors selected the most relevant and the latest publications, and categorized their contributions and findings based on open and selective coding. In total, the analysis is based on 95 papers that were selected and analyzed in depth.FindingsThe results of this research allow analyzing and ordering the existing contributions around Industry 4.0 and its impact on current organizations. The proposed conceptualization was derived from the analysis of the state of the research and identifies four categories: (1) improvements caused by Industry 4.0 and its impact on inter-organizational relations, (2) new architectural models and infrastructure of remote resources, their movement from the cloud to the edge and its effect on business processes, (3) context-aware concepts brought to business process management (BPM) linked to unstructured business processes and (4) complex event processing as a possible means for business processes sensitive to IoT signals.Practical implicationsThe construction of current software ecosystems is strongly affected by the variety of information sources that feed them, as well as their volume. In addition, business processes represent organizations internally and are challenged to transcend the limits of companies due to the mentioned changes in software ecosystems. Industry 4.0 in conjunction with BPM re-defines the business process management paradigm and leads them to acquire the dynamism and sensitivity to the context that they usually did not have, as well as force them to move toward distributed platforms.Originality/valueThis paper assesses the state of the art in Industry 4.0 and business process management. The area can be defined as the intersection of two bigger areas highly relevant for organizations; on the one hand, the management and execution of business processes; and on the other hand, new conceptual, technological and methodological challenges to information systems that have to become more sensitive to event processing and also have to consume a large volume of data permanently and ubiquitously.

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Section: Dynamic Process: Context-aware and Process-awarementioning

confidence: 99%

Industry 4.0 and business process management: state of the art and new challenges

Bazán

Estévez

2021

BPMJ

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“…Furthermore, there are architectures that enable even case management engines, e.g. Chimera, that are used for knowledge-intensive business process modeling and execution, to incorporate external events [35,36]. Several approaches are based on reference models and architectures that enable communication between different acting systems or at least have simple rudimental process control features [19,32,34,37].…”

Section: Cluster 1: Fundamental Edbpm Architectures and Approachesmentioning

confidence: 99%

Event-Driven Business Process Management Enhancing IoT – A Systematic Literature Review and Development of Research Agenda

Stoiber

Schönig

2021

Lecture Notes in Information Systems and Organisation

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The integration of high frequency event data from Internet of Things (IoT) devices into existing complex and mature Business Process Management Systems (BPMS) constitutes a major hurdle for many organizations. Event-Driven Business Process Management (EDBPM) is a paradigm to tackle this hurdle and to lever the enhancement of industrial IoT applications. Existing literature regarding EDBPM and its underlying technologies and methods form a heterogenous set of approaches, frameworks and applications that lacks standardization and maturity. In this context, the literature review of the work at hand conducts a survey about EDBPM focusing on its capabilities to be a lever for the scale of IoT applications. First, we perform an extensive literature research on EDBPM and related topics. Second, a literature analysis and synthesis are presented by summarizing and clustering the discovered publications. Furthermore, a future research agenda is formulated that addresses the main existing research gaps and challenges of EDBPM.

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“…However, they investigate how process models can be supported or extended through CEP, but not the execution of these models on a CEP engine. Another approach of integrating external events into business models is done by Mandal et al [17] combining a process engine and a event engine in a heterogeneous system. There exist also first approaches for the execution of declarative rules using CEP.…”

Section: Related Workmentioning

confidence: 99%

Execution of Multi-Perspective Declarative Process Models Using Complex Event Processing

Ruhkamp

Schönig

2021

Bus. Inf. Sys.

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The Internet of Things (IoT) enables continuous monitoring of phenomena based on sensing devices as well as analytics opportunities in smart environments. Complex Event Processing (CEP) comprises a set of techniques for making sense of the behavior of a monitored system by deriving higher level knowledge from lower level system events. Business Process Management (BPM) attempts to model processes and ensures that executed processes con-form with a predefined sequence. In IoT scenarios frequently a large number of events has to be analyzed in real-time to allow an instant response. While BPM reaches its limits in such situ-ations, CEP is able to analyze and process high volume streams of data in real-time. The evaluation and execution of rules and models of both paradigms are currently based on separate formalisms and are frequently implemented in heterogeneous systems. The presented paper integrates both domains by proposing an execution approach for multi-perspective declarative process process models completely based on CEP. The efficiency of the combined paradigms is validated in an implemented demonstration with simulated and real-life sensor data.

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A Framework for Integrating Real-World Events and Business Processes in an IoT Environment

Cited by 23 publications

References 13 publications

Industry 4.0 and business process management: state of the art and new challenges

Industry 4.0 and business process management: state of the art and new challenges

Event-Driven Business Process Management Enhancing IoT – A Systematic Literature Review and Development of Research Agenda

Execution of Multi-Perspective Declarative Process Models Using Complex Event Processing

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