S. Saravana Sankar

TL;DR: In this paper, an appropriate scheduling mechanism is designed to generate a nearer-to-optimum schedule using GA with two different GA Coding Schemes and two contradictory objectives of the system were achieved simultaneously by the scheduling mechanism.

TL;DR: In this article, an integrated approach is adopted to design the intercell layout and the flow path layout of MHS simultaneously, and the quality of the final layout is evaluated by minimizing total material handling cost.

TL;DR: The results indicate that proposed integrated methodology with developed mixed integer programming based mathematical model along with ESHGA could generate realistic layouts compared to reported result.

TL;DR: In this article, an integrated approach is adopted to design the inter-cell layout and the flow path layout of MHS simultaneously, and the quality of the final layout is evaluated by minimizing the weighted sum of two distance-based cost objectives namely, (1) total material handling cost.

TL;DR: In this article, a particle swarm optimization (PSO) algorithm is proposed by applying batch selective assembly method to a complex assembly with three mating components (as in ball bearing): an inner race, ball and outer race), to minimize the surplus parts and thereby maximizing the assembly efficiency.