Title: A meta-heuristic approach to car allocation problem to reduce transportation cost over a fixed number of routes

Authors: Prasun Das, Saddam Hossain, Abhijit Gupta

Addresses: Statistical Quality Control and Operations Research Division, Indian Statistical Institute, 203, B.T. Road, Kolkata 700 108, India. ' SBI Life Insurance Co Ltd., 2nd Floor, Turner Morrisson Building, G.N. Vaidya Marg, Fort, Mumbai 400 023, India. ' Statistical Quality Control and Operations Research Division, Indian Statistical Institute, 203, B.T. Road, Kolkata 700 108, India

Abstract: This study addresses the problem of car allocation to different routes under certain restrictions with the objective of reducing the excess cost of transportation. A meta-heuristic approach based on Ant Colony Optimisation (ACO) algorithm is proposed and implemented to schedule the cars efficiently along the routes under the existing logistics. A mathematical model with two objectives is formulated for this purpose and solved in two phases. In the first phase, sequences of allocated cars are determined while in the second, car allocation scheme for each trip is determined using ACO algorithm. The simulation study is carried out from the empirical distributions of distance and time, followed by the sensitivity analysis on the basis of their stochastic behaviour. The cost benefit analysis shows a projected savings in terms of reduction of cost of travel, both with respect to distance and time, through the solutions obtained.

Keywords: routes; trips; ant colony optimisation; ACO; idle time; excess time; excess cost; sensitivity analysis; metaheuristics; car allocation; transport costs; scheduling; logistics; mathematical modelling.

DOI: 10.1504/IJDATS.2010.030013

International Journal of Data Analysis Techniques and Strategies, 2010 Vol.2 No.1, pp.85 - 102

Published online: 03 Dec 2009 *

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