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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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Journal ArticleDOI
TL;DR: The use of neural network for process modelling in the past decade is summarized and some detailed guidelines for network training are provided, including a case study of a complex forming process.
Abstract: Neural networks have been increasingly used in various areas of manufacturing. Modelling of manufacturing processes, to allow experimentation on the model, is one of the areas in which successful applications have been reported. Most literature in this area is focused on network results. This paper concentrates on methods for training neural networks to model complex manufacturing processes. It summarises the use of neural network for process modelling in the past decade and provides some detailed guidelines for network training. A case study of a complex forming process is used to demonstrate a real implementation case in industry, and the issues arising from this case are discussed.

55 citations

Journal ArticleDOI
TL;DR: In this contribution, elementary modeling objects for the representation of the behavioral aspects of chemical processes are defined and formalization in terms of the object-oriented data model VeDa allows the formalization of the mixed types of equations and formalisms arising in mathematical process models.

55 citations

Book ChapterDOI
TL;DR: The α-algorithm is a process mining algorithm whose application is not limited to ubiquitous and/or mobile systems, but it is unable to tackle so-called “short loops”, i.e., the repeated occurrence of the same event.
Abstract: Ubiquitous Mobile Systems (UMSs) allow for automated capturing of events. Both mobility and ubiquity are supported by electronic means such as mobile phones and PDAs and technologies such as RFID, Bluetooth, WLAN, etc. These can be used to automatically record human behavior and business processes in detail. UMSs typically also allow for more flexibility. The combination of flexibility (i.e., the ability to deviate from standard procedures) and the automated capturing of events, provides an interesting application domain for process mining. The goal of process mining is to discover process models from event logs. The α-algorithm is a process mining algorithm whose application is not limited to ubiquitous and/or mobile systems. Unfortunately, the α-algorithm is unable to tackle so-called “short loops”, i.e., the repeated occurrence of the same event. Therefore, a new algorithm is proposed to deal with short loops: the α+-algorithm. This algorithm has been implemented in the EMiT tool.

55 citations

Book ChapterDOI
25 Oct 2010
TL;DR: An algorithm that produces a single configurable process model from a pair of process models by extracting the common parts of the input process models, creating a single copy of them, and appending the differences as branches of configurable connectors.
Abstract: This paper addresses the following problem: given two business process models, create a process model that is the union of the process models given as input. In other words, the behavior of the produced process model should encompass that of the input models. The paper describes an algorithm that produces a single configurable process model from a pair of process models. The algorithm works by extracting the common parts of the input process models, creating a single copy of them, and appending the differences as branches of configurable connectors. This way, the merged process model is kept as small as possible, while still capturing all the behavior of the input models. Moreover, analysts are able to trace back which model(s) a given element in the merged model originates from. The algorithm has been prototyped and tested against process models taken from several application domains.

55 citations

Journal ArticleDOI
TL;DR: The Axum framework for enterprise architecture is described which the author developed as a tool for managing strategic change and has been used successfully in many varied organisations such as civil service, Web‐based betting and even a major political party.
Abstract: This article discusses the benefits of applying structured, holistic analysis to human enterprises. It describes the Axum framework for enterprise architecture which the author developed as a tool for managing strategic change. This has been used successfully in many varied organisations such as civil service, Web‐based betting and even a major political party. It explains how the framework evolved out of earlier work on bussiness process reengineering to provide a more holistic approach in which process is set in the context of all other things that must be managed for successful change. The application of the framework in complex diversified enterprises is also explained and illustrations from the experience of the author are given.

55 citations


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