1,721,255 research outputs found
Fallbehandlung: Ein Neuer Ansatz zur Unterstützung Prozessorientierter Informationssysteme
No full textDie Unterstützung von Anwendungsprozessen durch Informationssysteme ist für Wirtschaft, Verwaltung und Wissenschaft von großem Interesse. Workflow-Management-Systeme haben sich dabei in vielen Anwendungsgebieten als adäquat und hilfreich erwiesen. Es gibt jedoch auch eine Vielzahl von Anwendungsszenarien, die in ihren Anforderungen bezüglich der Flexibilität der Prozessausführung, der Parallelität der Verarbeitung und dem Umgang mit Daten keine ausreichende Unterstützung durch Workflow-Management-Systeme finden. In diesem Beitrag wird das neuartige Konzept der Fallbehandlung (Case Handling) anhand der Anforderungen prozessorientierter Anwendungen motiviert, und seine zentralen Aspekte werden diskutiert. Fallbehandlung stellt keine Erweiterung der Konzepte des Workflow-Managements im Hinblick auf einzelne Aspekte – etwa Flexibilität – dar, sondern unterscheidet sich von diesem in den Grundlagen der Steuerung des Prozessablaufs und des Zugriffs auf Daten. Dadurch kann für eine Vielzahl von Anwendungen ein höheres Maß an Flexibilität und Parallelität bei der Ausführung erreicht werden
From BPMN process models to DMN decision models
Get PDFThe interplay between process and decision models plays a crucial role in business process management, as decisions may be based on running processes and affect process outcomes. Often process models include decisions that are encoded through process control flow structures and data flow elements, thus reducing process model maintainability. The Decision Model and Notation (DMN) was proposed to achieve separation of concerns and to possibly complement the Business Process Model and Notation (BPMN) for designing decisions related to process models. Nevertheless, deriving decision models from process models remains challenging, especially when the same data underlie both process and decision models. In this paper, we explore how and to which extent the data modeled in BPMN processes and used for decision-making may be represented in the corresponding DMN decision models. To this end, we identify a set of patterns that capture possible representations of data in BPMN processes and that can be used to guide the derivation of decision models related to existing process models. Throughout the paper we refer to real-world healthcare processes to show the applicability of the proposed approach
Bridging the Gap between Processes and Data -- Proposing and Evaluating Activity Views
Get PDFBusiness processes constantly generate, manipulate, and consume data that are managed by organizational databases. Despite being central to business process modeling, the link between processes and data is often handled by developers during process implementation, thus leaving the connection unexplored during conceptual design. However, supporting process designers in understanding the structure and semantics of the conceptual data related to a process may result in better communication with stakeholders and improved data-aware process models. In this paper, we introduce, formalize, and experimentally evaluate a novel conceptual view that bridges the gap between process and data models, and show some kinds of interesting insights that can be derived when reasoning about such connection
Data-Centric Extraction of DMN Decision Models from BPMN Process Models
No full textOperational decisions in business processes can be modeled by using the Decision Model and Notation (DMN). The complementary use of DMN for decision modeling and of the Business Process Model and Notation (BPMN) for process design realizes the separation of concerns principle. For supporting separation of concerns during the design phase, it is crucial to understand which aspects of decision-making enclosed in a process model should be captured by a dedicated decision model. Whereas existing work focuses on the extraction of decision models from process control flow, the connection of process-related data and decision models is still unexplored. In this paper, we investigate how process-related data used for making decisions can be represented in process models and we distinguish a set of BPMN patterns capturing such information. Then, we provide a formal mapping of the identified BPMN patterns to corresponding DMN models and apply our approach to a real-world healthcare process
Unraveling unstructured process models
Get PDFA BPMN model is well-structured if splits and joins are always paired into single-entry-single-exit blocks. Well-structuredness is often a desirable property as it promotes readability and makes models easier to analyze. However, many process models found in practice are not well-structured, and it is not always feasible or even desirable to restrict process modelers to produce only well-structured models. Also, not all processes can be captured as well-structured process models. An alternative to forcing modelers to produce well-structured models, is to automatically transform unstructured models into well-structured ones when needed and possible. This talk reviews existing results on automatic transformation of unstructured process models into structured ones
Supporting Emergency Department Risk Mitigation with a Modular and Reusable Agent-Based Simulation Infrastructure
No full textThis summary is based on an article originally published at the Winter Simulation Conference 2023. Simulation of workflow processes in healthcare -- especially in emergency care -- has been well established. However, every new simulation project starts from scratch and there is no reuse between simulations, greatly reducing the efficiency of simulation development and the reliability of the simulations produced. We have applied model-driven engineering techniques to create a modular and reusable simulation infrastructure based on a set of domain-specific modelling languages for emergency care
Automatisierte Generierung fachlicher Prozessmodelle basierend auf natürlichsprachlichen Prozessbeschreibungen
No full text4359Die manuelle Erstellung von Prozessmodellen ist eine gängige Tätigkeit im Rahmen der Softwareentwicklung. Die Erstellung der Modelle stellt allerdings eine zeitintensive Aufgabe für IT-Fachkräfte dar. Mit dem Ziel, die Fachkräfte zu entlasten, stellen wir die Methode NL2BPMN und einen Prototyp vor, durch welche natürlichsprachliche sowie fachspezifische Prozessbeschreibungen automatisiert in BPMN-Prozessmodelle transformiert werden können. Die Methode basiert auf Natural Language Processing (NLP) und bedient sich unter anderem dem Part-of-Speech-Tagging sowie dem Dependency Parsing. Ein Bestandteil der Methode ist die Verwendung einer Fachbegriffe-Liste als zusätzlicher Input neben Prozessbeschreibungen, um Fachbegriffe, die aus mehreren Wörtern bestehen, als zusammengehörige Begriffe zu verarbeiten. Ein Vergleich von automatisiert generierten Modellen mit manuell erstellten Modellen zeigt Erfolgsquoten von über 90 % in allen Bewertungskategorien, sofern eine Fachbegriffe-Liste verwendet wird
Promise 2002 – Prozessorientierte Methoden und Werkzeuge für die Entwicklung von Informationssystemen
No full text- …
