Intelligent Decision Support for Business Workflow Adaptation due to Subjective Interruption

Interruption is occurred by partial participation of workflows with adding new activity to a worker. A concerned worker to the interrupted workflow must restructure task assignment to improve consumed operating time by interruption. An opportunity of decision making is occurred to the workers to select appropriate tasks. However, preassignment of tasks to workers includes an expectation of superior decision maker to a training of an inexperienced worker. In order to avoid overmuch improvement to the interrupted workflow, the alternatives for shortening operating time of tasks is computed by TOPSIS method. Although positive ideal solution and negative ideal solution in conventional TOPSIS method are based on objective attributes, subjective completion time of pre-assigned tasks that are positive ideal solution in this model is depending on subjective attributes of the worker. Therefore, this research proposes a novel extension of positive and negative ideal solution of TOPSIS method by aggregating based on subjective fuzzy attributes of the worker and objective attributes of tasks. The approach is examined on simple case study showing that the work is promising on providing solution to handle interruption on carried work in runtime.