A study on the heterogeneous fleet of alternative fuel vehicles : reducing CO2 emissions by means of biodiesel fuel

Amine Masmoudi, Mohamed (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale) ; Hosny, Manar (College of Computer and Information Sciences (CCIS), King Saud University (KSU), Riyadh, Saudi Arabia) ; Demir, Emrah (Cardiff Business School, Cardiff University, United Kingdom) ; Cheikhrouhou, Naoufel (Haute école de gestion de Genève, HES-SO // Haute Ecole Spécialisée de Suisse Occidentale)

In the context of home healthcare services, patients may need to be visited multiple times by different healthcare specialists who may use a fleet of heterogeneous vehicles. In addition, some of these visits may need to be synchronized with each other for performing a treatment at the same time. We call this problem the Heterogeneous Fleet Vehicle Routing Problem with Synchronized visits (HF-VRPS). It consists of planning a set of routes for a set of light duty vehicles running on alternative fuels. We propose three population-based hybrid Artificial Bee Colony metaheuristic algorithms for the HF-VRPS. These algorithms are tested on newly generated instances and on a set of homogeneous VRPS instances from the literature. Besides producing quality solutions, our experimental results illustrate the trade-offs between important factors, such as CO2 emissions and driver wage. The computational results also demonstrate the advantages of adopting a heterogeneous fleet rather than a homogeneous one for the use in home healthcare services.


Keywords:
Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG - Genève
Institute:
CRAG - Centre de Recherche Appliquée en Gestion
Subject(s):
Economie/gestion
Date:
2018
Pagination:
29 p.
Published in:
Transportation Research Part D: Transport and Environment
Numeration (vol. no.):
2018, vol. 63, pp. 137-155
DOI:
ISSN:
1361-9209
Appears in Collection:

Note: The status of this file is: public


 Record created 2018-05-28, last modified 2019-11-28

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