A DISTRIBUTEDWORKFLOWMANAGEMENTSYSTEM UTILIZING COMPUTATIONALINTELLIGENCEFOR DECISION SUPPORT

Distributed workflow management systems are increasingly gaining momentum due to the emergence of virtual and distributed organizations, as well as cross-organizational workflows. This paper presents an effective development process for a distributed \\'orkflow management system (WKFMS) which is utilized to automate the management processes related to computer and peripheral repair requests in the Faculty of Engineering and Technology (FET) at the University of Jordan. First, the paper explores the reasoning and motivation behind the choice of the management processes involved in the WKFMS. Phases of the development process that is based on the rapid prototyping paradigm are then described. Particular focus is given to the modeling of business scenarios using the Model-View-Control (MVC) architecture. The distributed network layout and system security measures are also investigated. Reduction of manual human intervention in the decision process is achieved through the implementation of a neuro-fuzzy computational intelligence processor to automate the major decision making process of tasks distribution. It is shown that the application of the proposed development process helped in reducing the overall system development time and effort. The successful deployment and functional testing of the developed industrial prototype has proved that it works smoothly according to the desired features.