Business Dynamics
Managing Business Process Flows
Managing Business Process Flows
Agent Based and System Dynamics Modeling: A Call for Cross Study and Joint Research
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 3 - Volume 3
Business artifacts: An approach to operational specification
IBM Systems Journal
The Rise of the Model-Driven Enterprise
CEC-EAST '04 Proceedings of the E-Commerce Technology for Dynamic E-Business, IEEE International Conference
Web Service Management Using System Dynamics
ICWS '05 Proceedings of the IEEE International Conference on Web Services
Modeling Support for Simulating Traffic Intensive Web Applications
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
Expert Systems with Applications: An International Journal
A proximate dynamics model for data mining
Expert Systems with Applications: An International Journal
Incremental Process Modeling through Stakeholder-Based Hybrid Process Simulation
ICSP '09 Proceedings of the International Conference on Software Process: Trustworthy Software Development Processes
Qualitative and quantitative analysis of workflows based on the UML activity diagram and Petri net
WSEAS Transactions on Information Science and Applications
Designs for the complementary use of system dynamics and discrete-event simulation
Proceedings of the Winter Simulation Conference
Business process re-design methodology to support supply chain integration
International Journal of Information Management: The Journal for Information Professionals
| Hi-index | 0.00 |
Business operations can be formally described in business process models that capture activities, information, and flow embedded in business operation. System dynamics modeling is a set of conceptual tools that enable business process designers to build computer simulations of complex business process behaviors. System dynamics models provide accurate description of system behavior along the time dimension. It gives a convenient tool to conduct what if analysis though dynamics points of view. However, to develop system dynamics models requires keen understanding of the "physics" of the target business operations, business organizations, and financial structures and so on. This paper is aimed to provide heuristics and guidelines of developing system dynamics models based on given business process models along with associated reference contexts. An example, from supply chain management domain, of using business process models to derive system dynamics models will be given in the paper.