Clustering-based heuristic for the workload balancing problem in enterprise logistics
by S.P. Anbuudayasankar, K. Ganesh, S.C. Lenny Koh, K. Mohandas
International Journal of Value Chain Management (IJVCM), Vol. 3, No. 3, 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.

Online publication date: Sun, 20-Sep-2009

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