TY - JFULL AU - Siva Prasad Darla and C. D. Naiju and K. Annamalai and S. S. Rajiv Sushanth PY - 2012/4/ TI - Particle Swarm Optimization Based Genetic Algorithm for Two-Stage Transportation Supply Chain T2 - International Journal of Transport and Vehicle Engineering SP - 568 EP - 573 VL - 6 SN - 1307-6892 UR - https://publications.waset.org/pdf/1064 PU - World Academy of Science, Engineering and Technology NX - Open Science Index 63, 2012 N2 - Supply chain consists of all stages involved, directly or indirectly, includes all functions involved in fulfilling a customer demand. In two stage transportation supply chain problem, transportation costs are of a significant proportion of final product costs. It is often crucial for successful decisions making approaches in two stage supply chain to explicit account for non-linear transportation costs. In this paper, deterministic demand and finite supply of products was considered. The optimized distribution level and the routing structure from the manufacturing plants to the distribution centres and to the end customers is determined using developed mathematical model and solved by proposed particle swarm optimization based genetic algorithm. Numerical analysis of the case study is carried out to validate the model. ER -