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Process modeling

About: Process modeling is a research topic. Over the lifetime, 11639 publications have been published within this topic receiving 223996 citations. The topic is also known as: process simulation.


Papers
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Proceedings ArticleDOI
Keith D. Swenson1
01 Dec 1993
TL;DR: A model for collaborative work process and a graphical language to support this model is presented, which allows for informal flow of communications and flexible access to information along with a formal flow of responsibility.
Abstract: A model for collaborative work process and a graphical language to support this model is presented. The model allows for informal flow of communications and flexible access to information along with a formal flow of responsibility. Work is decomposed into a network of task assignments (actually requests for those tasks), which may be recursively decomposed to finer grained tasks. The model includes consideration for authority and responsibility. Process flow can be dynamically modified. Policies (templates for a process) may be tailored to provide versions of a process customized for different individuals. The visual language is designed to ease the creation of policies and modification of ongoing processes, as well as to display the status of an active process.

56 citations

Journal ArticleDOI
TL;DR: A methodology called TAD is used, which consists of six phases, which presents a new unique way for business process identification, modelling, and improvement.
Abstract: This paper aims at discussing business process modelling and improvement as an essential work to create a successful and competitive enterprise. To achieve this goal, we use a methodology called TAD, which consists of six phases. The first three deal with business process identification, modelling and improvement. The methodology presents a new unique way for business process identification, modelling, and improvement. The last three phases continue with the implementation of the improved business process(es) by developing its information system. The business process ''Surgery'' is used as an example to show the implementation of the methodology.

56 citations

Book ChapterDOI
01 Jan 2005
TL;DR: This chapter presents a new foundational ontology, UFO, and shows how it can be used as a guideline in business modeling and for evaluating business modeling methods.
Abstract: Foundational ontologies provide the basic concepts upon which any domain-specific ontology is built. This chapter presents a new foundational ontology, UFO, and shows how it can be used as a guideline in business modeling and for evaluating business modeling methods. UFO is derived from a synthesis of two other foundational ontologies, GFO/GOL and OntoClean/DOLCE. While their main areas of application are natural sciences and linguistics/cognitive engineering, respectively, the main purpose of UFO is to provide a foundation for conceptual modeling, including business modeling.

56 citations

Book ChapterDOI
25 Nov 2009
TL;DR: A concept for defining and identifying action patterns - chunks of actions often appearing together in business processes - and how they can be identified from existing process model repositories using association rule mining techniques is provided.
Abstract: Business process management experiences a large uptake by the industry, and process models play an important role in the analysis and improvement of processes. While an increasing number of staff becomes involved in actual modeling practice, it is crucial to assure model quality and homogeneity along with providing suitable aids for creating models. In this paper we consider the problem of offering recommendations to the user during the act of modeling. Our key contribution is a concept for defining and identifying action patterns - chunks of actions often appearing together in business processes. In particular, we specify action patterns and demonstrate how they can be identified from existing process model repositories using association rule mining techniques. Action patterns can then be used to suggest additional actions for a process model. Our approach is challenged by applying it to the collection of process models from the SAP Reference Model.

56 citations

Journal ArticleDOI
01 Aug 2017
TL;DR: In this article, the authors propose a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes.
Abstract: The volume of process-related data is growing rapidly: more and more business operations are being supported and monitored by information systems. Industry 4.0 and the corresponding industrial Internet of Things are about to generate new waves of process-related data, next to the abundance of event data already present in enterprise systems. However, organizations often fail to convert such data into strategic and tactical intelligence. This is due to the lack of dedicated technologies that are tailored to effectively manage the information on processes encoded in process models and process execution records. Process-related information is a core organizational asset which requires dedicated analytics to unlock its full potential. This paper proposes a framework for devising process querying methods, i.e., techniques for the (automated) management of repositories of designed and executed processes, as well as models that describe relationships between processes. The framework is composed of generic components that can be configured to create a range of process querying methods. The motivation for the framework stems from use cases in the field of Business Process Management. The design of the framework is informed by and validated via a systematic literature review. The framework structures the state of the art and points to gaps in existing research. Process querying methods need to address these gaps to better support strategic decision-making and provide the next generation of Business Intelligence platforms.

56 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202359
2022184
2021254
2020327
2019368
2018395