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.

The process-oriented organisation: a holistic view developing a framework for business process orientation maturity

Abstract: Processes are the core of organisations. Business ProcessManagement (BPM) argues organisations can gain competitive advantage byimproving and innovating their processes through a holistic process-oriented view. An organisation can be more or less process-oriented depending on theirexperience in applying process thinking for better results. The aim of this paperis to define a framework for identifying characteristics of Business ProcessOrientation and to provide a valid tool for measuring the degree of BusinessProcess Orientation (BPO) of an organisation based on empirical research in 30international organisations. A holistic view on integrated process managementand change is taken as a starting point.

The process recombinator: a tool for generating new business process ideas

Abstract: A critical need for many organizations in the next century will be the ability toquickly develop innovative business processes to take advantage of rapidly changingtechnologies and markets. Current process design tools and methodologies, however,are very resource-intensive and provide little support for generating (as opposed tomerely recording) new design alternatives.This paper describes the Process Recombinator, a novel tool for generating newbusiness process ideas by recombining elements from a richly structured repositoryof knowledge about business processes. The key contribution of the work is thetechnical demonstration of how such a repository can be used to automaticallygenerate a wide range of innovative process designs. We have also informallyevaluated the Process Recombinator in several field studies, which are brieflydescribed here as well.Keywords: process innovation, business process repository, BPR, business processdesign

Workflow management based on process model repositories

Abstract: Workflow management is an area of increasing interest. Nonetheless there are only a few workflow systems which are actually used for supporting business processes in an industrial context. Most of these systems only deal with processes which create and manipulate unstructured pieces of information, like documents and images. Our workflow management approach, called the FUNSOFT net approach, additionally supports the management of structured pieces of information, called objects. In doing so, we use a repository which is used to store information about process models and about individual processes. This repository is particularly useful for processes dealing with highly structured information, such as software processes. We describe the experience in using such a repository. We point out which of these experiences may be useful for developers of other workflow management systems as well.

Mining Local Process Models

Abstract: In this paper we describe a method to discover frequent behavioral patterns in event logs. We express these patterns as \emph{local process models}. Local process model mining can be positioned in-between process discovery and episode / sequential pattern mining. The technique presented in this paper is able to learn behavioral patterns involving sequential composition, concurrency, choice and loop, like in process mining. However, we do not look at start-to-end models, which distinguishes our approach from process discovery and creates a link to episode / sequential pattern mining. We propose an incremental procedure for building local process models capturing frequent patterns based on so-called process trees. We propose five quality dimensions and corresponding metrics for local process models, given an event log. We show monotonicity properties for some quality dimensions, enabling a speedup of local process model discovery through pruning. We demonstrate through a real life case study that mining local patterns allows us to get insights in processes where regular start-to-end process discovery techniques are only able to learn unstructured, flower-like, models.