Heterogeneous fleet of trucks is considered. Different types of trucks have not only different capacities, but also require different amounts of fuel for operations. Consequently, the amount of carbon emission and noise vary as well. Modern logistic companies planning delivery routes must consider the trade-off between the financial and environmental aspects of transportation. Efficiency of delivery routes is impacted by truck size and the possibility of dividing long delivery routes into smaller ones. The results of computational experiments modeled after real data from a Spanish food distribution company are reported. Computational results based on formulated optimization models show some balance between fleet size, truck types, and utilization of fuel, carbon emission, and production of noise. As a result, the company could consider a mixture of trucks sizes and divided routes for smaller trucks. Analyses of obtained results could help logistics managers lead the initiative in environmental conservation by saving fuel and consequently minimizing pollution. The computational experiments were performed using the AMPL programming language and the CPLEX solver.
This work has been partially supported by the National Research Center (NCN), Poland (# DEC-2013/11/B/ST8/04458), by AGH, Poland (# 22.214.171.1247).
The author is grateful to the anonymous reviewers for their comments.
Sawik, B. (2018), "Weighted-Sum Approach for Bi-objective Optimization of Fleet Size with Environmental Aspects", Applications of Management Science (Applications of Management Science, Vol. 19), Emerald Publishing Limited, pp. 101-116. https://doi.org/10.1108/S0276-897620180000019006Download as .RIS
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