A forecast model for workers' performance in mass customized production

There has been a shift to mass customisation production for most of the manufacturing systems in recent decades. This leads to the need of predicting workers’ performance for task assignments for all the main steps in manufacturing. However, the literature review shows that while most scholars pay more attention to the investigation of factors impacting worker performance; how these factors can be used to support decision making in task allocation is still in its infancy. This paper will propose a new method for determining the workers’ performance by devising a rule-based system for the assembly manufacturing line. The application of previous experience, scientific knowledge, and historical data will increase the accuracy of the productivity and quality predictions.