International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 9 |
Year of Publication: 2017 |
Authors: N. Kannan, S. Jayanthi, R. Dhanalakshmi |
10.5120/ijca2017915518 |
N. Kannan, S. Jayanthi, R. Dhanalakshmi . Intelligence heuristics to solve a Balanced Routing Problem in Supply Chain. International Journal of Computer Applications. 176, 9 ( Oct 2017), 13-25. DOI=10.5120/ijca2017915518
In today’s business system, supply chain competitiveness greatly depends on its capability to handle the challenges of cost reduction, service level improvement and quality enhancement. In this competitive market, customer service level is the most significant factor for the success of the firm. Supply chain network needs to be efficient enough to handle the changing demand patterns. Balanced routing of goods among supply chain entities will improve the asset utilization and customer service level in a supply chain system. Over or under utilization of the supply chain entity will impact the customer service. We develop a decision support system based on three-stage heuristics to solve this balanced routing problem. A case study is illustrated and the DSS is validated for this case study.