Publication Type : Journal Article
Publisher : International Journal of Value Chain Management
Source : International Journal of Value Chain Management, Volume 3, Issue 3, p.302 - 315 (2009)
Url : https://www.inderscience.com/info/inarticle.php?artid=28605
Campus : Coimbatore
School : School of Engineering
Department : Mechanical Engineering
Year : 2009
Abstract : Workload balancing between drivers in transshipment of goods is a critical humanitarian issue in enterprise logistics management. This problem is modelled as a multiple Travelling Salesman Problem with Workload Balancing (mTWB). The problem is addressed under the condition that the load for all the drivers must be balanced on a trip. We propose a clustering-based heuristic to solve the mTWB with the objective of balancing the workload amongst drivers. The methodology is tested over a range of benchmark data sets and is found to give satisfactory results with high convergence in reasonable time.
Cite this Research Publication : Dr. Anbuudayasankar S. P., Ganesh, K., S. C. Lenny Koh, and Mohandas K., “Clustering-based heuristic for the workload balancing problem in enterprise logistics”, International Journal of Value Chain Management, vol. 3, no. 3, pp. 302 - 315, 2009.