Application of a fuzzy multi-criteria decision-making approach for dynamic scheduling in robotic flexible assembly cells

This paper is devoted to the application of the developed approach presented in Part I, to demonstrate its capability in tackling real-world MCDM problems. In this paper, a hypothetical case study of robotic flexible assembly cells (RFACs) is considered, to solve multi-objective optimization problems for dynamic scheduling. In order to find the optimal solution, a fuzzy decision support system (FDSS) is applied and built using the fuzzy logic toolbox in MATLAB software. The FDSS combines multi-objective functions in one performance measure named a multiple performance characteristics index (MPCI). The analysis results show that the developed approach is practical, works in RFACs setting, and deal with imprecise and uncertain information.