Publication

Abstract : The core issue of this paper is efficient balancing of allocation of customers among multiple distribution centres. Allocation involves clustering of customers in such a way that the associated resources in terms of cost and time are minimal. Ready solution to this problem could be through nondeterministic polynomial (NP)-hard type model. But NP-hard type model is inherently time consuming in arriving at an optimal solution. This paper compares the meta-heuristic genetic algorithm with an improvised heuristic scheme developed from the 2-opt heuristic model. Possible solutions for efficient clustering of customers are then proposed. Copyright © 2012 Inderscience Enterprises Ltd.