The objective of this research is to establish a rule based, intelligent workflow management system (WfMS) to manage project flow, especially when process logics are embedded in rules that can be triggered to drive the flow. This research focuses on using an expert system's inference engine to infer the process flows. In our research, we use 'facts' to represent the projects, tasks, and resources, while 'rules' to define the relations of tasks in a project flow. The rules that control the start of each task can be fulfilled according to corresponding facts of previous tasks. Finally, the project output can be controlled precisely to meet the customers' requirements. The research contributes to manage some complex project processes imbedded logical rules for the looping of the processes.
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