Integrated Design for Assembly Approach for Optimal Reduced Levels of Assembly Sequence Generation using Enhanced Fruit Fly Algorithm

This study presents the integrating of the DFA concept for the ASP problem to reduce the cost and time of assembling the product. Enhanced Fruit Fly algorithm is developed by incorporating the range of angles to the fruit fly during the initial fly as compared with the random angle selected in the general fruit fly algorithm to generate optimal assembly sequences. The fitness equation is formulated with directional feasibility data to engender optimal assembly sequences. The proposed concept is applied to the pen and motor drive assembly to test the performance of the algorithm. The results from the proposed notion are compared with the GA, ACO, FPA, and IHS for the motor drive assembly in terms of the number of levels of the assembly sequence, fitness value, number of iterations, and number of optimal sequences generated.