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Business Process Management: Concepts, Languages, Architectures
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TLDR
Matthias Weske argues that all communities involved need to have a common understanding of the different aspects of business process management, and details the complete business process lifecycle from the modeling phase to process enactment and improvement, taking into account all different stakeholders involved.Abstract:
Business process management is usually treated from two different perspectives: business administration and computer science. While business administration professionals tend to consider information technology as a subordinate aspect in business process management for experts to handle, by contrast computer science professionals often consider business goals and organizational regulations as terms that do not deserve much thought but require the appropriate level of abstraction. Matthias Weske argues that all communities involved need to have a common understanding of the different aspects of business process management. To this end, he details the complete business process lifecycle from the modeling phase to process enactment and improvement, taking into account all different stakeholders involved. After starting with a presentation of general foundations and abstraction models, he explains concepts like process orchestrations and choreographies, as well as process properties and data dependencies. Finally, he presents both traditional and advanced business process management architectures, covering, for example, workflow management systems, service-oriented architectures, and data-driven approaches. In addition, he shows how standards like WfMC, SOAP, WSDL, and BPEL fit into the picture. This textbook is ideally suited for classes on business process management, information systems architecture, and workflow management. This 2nd edition contains major updates on BPMN Version 2 process orchestration and process choreographies, and the chapter on BPM methodologies has been completely rewritten. The accompanying website www.bpm-book.com contains further information and additional teaching material.read more
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Book ChapterDOI
The Triconnected Abstraction of Process Models
TL;DR: In this paper, the authors present a technique to simplify business process models by introducing abstraction rules which generalize process fragments in order to bring the model to a higher abstraction level, which is suited for the abstraction of large process specifications.
Journal ArticleDOI
Formal verification of wastewater treatment processes using events detected from continuous signals by means of artificial neural networks. Case study: SBR plant
L. Luccarini,Gianni Bragadin,Gabriele Colombini,Maurizio Mancini,Paola Mello,Marco Montali,Davide Sottara +6 more
TL;DR: A modular architecture for the analysis and the validation of wastewater treatment processes is proposed, using neural networks to extract the relevant qualitative patterns, such as ''apexes'', ''knees'' and ''steps'', from the signals acquired in the reaction tanks.
Journal ArticleDOI
A systematic mapping study of process mining
Ana Rocío Cárdenas Maita,Lucas Corrêa Martins,Carlos Ramón López Paz,Laura Rafferty,Patrick C. K. Hung,Sarajane Marques Peres,Marcelo Fantinato +6 more
TL;DR: It is concluded that little relevance has been given to computational intelligence and machine learning techniques and process mining challenges, such as balancing among robustness, simplicity, accuracy and generalization, could benefit from a larger use of such techniques.
Proceedings ArticleDOI
Towards Living Inter-organizational Processes
Ruth Breu,Schahram Dustdar,Johann Eder,Christian Huemer,Gerti Kappel,Julius Köpke,Philip Langer,Jürgen Mangler,Jan Mendling,Gustaf Neumann,Stefanie Rinderle-Ma,Stefan Schulte,Stefan Sobernig,Barbara Weber +13 more
TL;DR: Different perspectives on inter-organizational processes are described and challenges for making them living processes are identified, which all have to be considered when dealing with living inter- Organizational processes.
Journal ArticleDOI
Periodic performance prediction for real‐time business process monitoring
TL;DR: A periodic performance prediction algorithm is formulated for use in a proposed novel approach to real‐time business process monitoring that can describe the ongoing status as the probability that the process will be executed continually and terminated as the identical result.