Publication Type:

Journal Article

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

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.