Showing posts with label Resource Simulation. Show all posts
Showing posts with label Resource Simulation. Show all posts

Wednesday, October 10, 2012

Paper: Workflow Resource Pattern Modelling and Visualization

Just got the following conference paper "Workflow Resource Pattern Modelling and Visualization" accepted for ACSC 2013 conference, Adelaide, Australia.  Paper is here.

Abstract: Workflow patterns have been recognized as the theoretical basis to modeling recurring problems in workflow systems. A form of workflow patterns, known as the resource patterns, characterise the behaviour of resources in workflow systems. Despite the fact that many resource patterns have been discovered, people still preclude them from many workflow system implementations. One of reasons could be obscurity in the behaviour of and interaction between resources and a workflow management system. Thus, we provide a modelling and visualization approach for the resource patterns, enabling a resource behaviour modeller to intuitively see the specific resource patterns involved in the lifecycle of a workitem. We believe this research can be extended to benefit not only workflow modelling, but also other applications, such as model validation, human resource behaviour modelling, and workflow model visualization.

Well done Hanwen!

Ross

Wednesday, January 25, 2012

Paper: Human resource behaviour simulation in business processes

Rune Rasmussen and I have just had a new ERA A journal paper accepted with Future Generation Computer Systems (FGCS). QUT EPrints Link

Title: Human resource behaviour simulation in business processes

Abstract: The structure and dynamics of a modern business environment are very hard to model using traditional methods. Such complexity raises challenges to effective business analysis and improvement. The importance of applying business process simulation to analyze and improve business activities has been widely recognized. However, one remaining challenge is the development of approaches to human resource behavior simulation. To address this problem, we describe a novel simulation approach where intelligent agents are used to simulate human resources by performing allocated work from a workflow management system. The behavior of the intelligent agents is driven a by state transition mechanism called a Hierarchical Task Network (HTN). We demonstrate and validate our simulator via a medical treatment process case study. Analysis of the simulation results shows that the behavior driven by the HTN is consistent with design of the workflow model. We believe these preliminary results support the development of more sophisticated agent-based human resource simulation systems.

Ross