The fleet size and mix pollution-routing problem
The fleet size and mix pollution-routing problem
This paper introduces the fleet size and mix pollution-routing problem which extends the pollution-routing problem by considering a heterogeneous vehicle fleet. The main objective is to minimize the sum of vehicle fixed costs and routing cost, where the latter can be defined with respect to the cost of fuel and CO emissions, and driver cost. Solving this problem poses several methodological challenges. To this end, we have developed a powerful metaheuristic which was successfully applied to a large pool of realistic benchmark instances. Several analyses were conducted to shed light on the trade-offs between various performance indicators, including capacity utilization, fuel and emissions and costs pertaining to vehicle acquisition, fuel consumption and drivers. The analyses also quantify the benefits of using a heterogeneous fleet over a homogeneous one.
Full text available at:
http://www.sciencedirect.com/science/article/pii/S0191261514001623
239-254
Koc, C.
0580305f-af8c-49fa-b6a8-832f951c9e85
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Jabali, O.
7a91105c-3ff6-4a2c-bb86-0b5739af4faa
Laporte, G.
2cd560e2-79a4-4ee7-b883-ec02bc880328
1 December 2014
Koc, C.
0580305f-af8c-49fa-b6a8-832f951c9e85
Bektas, T.
0db10084-e51c-41e5-a3c6-417e0d08dac9
Jabali, O.
7a91105c-3ff6-4a2c-bb86-0b5739af4faa
Laporte, G.
2cd560e2-79a4-4ee7-b883-ec02bc880328
Koc, C., Bektas, T., Jabali, O. and Laporte, G.
(2014)
The fleet size and mix pollution-routing problem.
Transportation Research Part B: Methodological, 70, .
(doi:10.1016/j.trb.2014.09.008).
Abstract
This paper introduces the fleet size and mix pollution-routing problem which extends the pollution-routing problem by considering a heterogeneous vehicle fleet. The main objective is to minimize the sum of vehicle fixed costs and routing cost, where the latter can be defined with respect to the cost of fuel and CO emissions, and driver cost. Solving this problem poses several methodological challenges. To this end, we have developed a powerful metaheuristic which was successfully applied to a large pool of realistic benchmark instances. Several analyses were conducted to shed light on the trade-offs between various performance indicators, including capacity utilization, fuel and emissions and costs pertaining to vehicle acquisition, fuel consumption and drivers. The analyses also quantify the benefits of using a heterogeneous fleet over a homogeneous one.
Full text available at:
http://www.sciencedirect.com/science/article/pii/S0191261514001623
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Accepted/In Press date: 13 September 2014
e-pub ahead of print date: 18 October 2014
Published date: 1 December 2014
Organisations:
Centre of Excellence for International Banking, Finance & Accounting
Identifiers
Local EPrints ID: 368866
URI: http://eprints.soton.ac.uk/id/eprint/368866
ISSN: 0191-2615
PURE UUID: a6c7e938-9f5b-475a-b3dd-4b1cb9269606
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Date deposited: 13 Sep 2014 09:56
Last modified: 14 Mar 2024 17:54
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Contributors
Author:
C. Koc
Author:
T. Bektas
Author:
O. Jabali
Author:
G. Laporte
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