Effective methods for increasing the efficiency of transportation management system is a use of dynamic multi-zone dispatching problem. This problem concentrates on the quantities of inbound and outbound in each area and it is modified from the multi-zone dispatching. The factors of the rearrangement penalty of the area, in each zone, including time periods are also included. In this research there are various levels of areas, zones, inbound, outbound and time periods. The objective of this research is to manage zones with minimal imbalance scenario via an application of the Bees algorithm. Bees algorithm is an optimisation algorithm inspired by the natural foraging behaviour of honey bees. However, the performance of the algorithm depends on its parameters levels and need to be determined and analysed before its implementation. BEES parameters are determined through the Steepest Descent method based on the statistically significant regression analysis. Experimental results were analysed in terms of best solutions found so far, mean and standard deviation on both the imbalance and execution time to converge to the optimum. Finally a recommendation of proper level settings of BEES parameters for some selected problem sizes that can be used as a guideline for future applications of the BEES. This is to promote ease of use of the BEES in real life problems. This study also found that number of zones affect iterations toward the optimum. Number of areas affects the imbalance. The parameters of zone and area are then the important variables for these multi-zone dispatching systems.