Process Model Visualisation Data Representations

Name: Chin (Renfred) Law

Title (Undergraduate Project): Process Model Visualisation Data Representations

Abstract: Present process model grammars are typically rendered in 2D using graph drawing techniques. This has worked well for abstract representations of process models, however, these visualisations do not allow analysts to investigate the effects of physical spatial organisation on the process models. To this end, we will embed a 3D version of a process model grammar, in this case BPMN 1.0, within the Open Simulator Virtual World.

This project will focus on providing backend database modelling infrastructure for a 3D BPMN Process Model Editor for the Open Simulator Virtual World. In particular, file handling and internal data structures that support the use of normal process modelling tools to generate the Virtual World visualisations. The ultimate goal is to provide visualisation and interaction techniques that even a relatively untrained business analyst can easily use.

Conceptual Process Model Visualisation

Name: Nathan Steenstra

Title (Undergraduate Project): Conceptual Process Model Visualisation

Abstract: Present process model grammars are typically rendered in 2D using graph drawing techniques. This has worked well for abstract representations of process models, however, these visualisations do not allow analysts to investigate the effects of physical spatial organisation on the process models. To this end, we will embed a 3D version of a process model grammar, in this case BPMN 1.0, within the Open Simulator Virtual World.

This project will focus on providing techniques for easy creation and editing of such 3D BPMN diagrams. In particular, node and edge representations, node aggregation and edge linking interactions will be developed to ease the process modelling tasks in a 3D world. The ultimate goal is to provide visualisation and interaction techniques that even a relatively untrained business analyst can easily use.

Agent-Based Verification and Validation of Process Models

Name: Hanwen Guo

Title (PhD): Agent-Based Verification and Validation of Process Models

Abstract: Business Process Management (BPM) is an abstraction of business activities that has the ability to model, measure and improve business processes. The significant outcome of a precise and validated process model is that it improves the business’ efficiency in a systematic fashion. Virtual Environments provide participants with an almost real sense of immersion into a 3D synthetic world, with many application domains, such as military, medical and aerospace sectors investing heavily in Virtual Environment Simulations (VES).

The accurate modelling of human resources within an Enterprise has been problematic, with previous research generally using aggregated statistical models of human behaviour. Multi-Agent Systems (MAS) are a computational model for simulating the actions and interactions of autonomous individuals with an ability to assess their effects in the system. Combining BPM and VES with MAS will present a detailed human resource model that is closer to a real version of the business processes.

This research work has much to contribute to the business education and training sector. It will help enhance an organization’s competitiveness via the following benefits. Firstly, it will allow for detailed simulation and interaction with a resource model of the business processes, bringing far more accuracy in modelling. Secondly, it will help users to plan, manage and understand operational task procedures so as to improve employee abilities and work standards.