Author : Shubham V. Kothavade and S.P. Deshpande

Modern assembly lines are used in automobile industries in order to produce high quality and very complex products. These industries involve large number of input parameters which may affect cost and quality of final product. Selection of optimum parameters and process is very important objective in the present work. The mathematical models of assembly line of Scorpio (W105) considered for the optimization of respective assembly line. A recently developed advanced optimization algorithm named as teaching–learning-based optimization (TLBO) is used for the parameters optimization of the assembly line, which is inspired by teaching-learning process and works on the effect of influence of teacher on output of learners in class. This technique is used to minimize the computational efforts and considerable improvements in results are obtained in the problem near to optimum results. We also provided a comprehensive comparative study along with statistical analyses in order to present effectiveness of TLBO algorithm on solving scheduling problems. Experimental results show that the TLBO algorithm has a considerable potential when compared to the best-known heuristic algorithms for scheduling problem.

Keywords: Assembly line, Balancing, Teaching learning based Optimization, algorithm

Article published in International Journal of Current Engineering and Technology, Vol.6, No.5 (Oct-2016)