Authors:
Ignacio Eguia
;
Jesus Racero
and
Fernando Guerrero
Affiliation:
University of Seville, Spain
Keyword(s):
Routing, Green Logistics, Linear Programming, Mathematical Modelling.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
e-Business
;
Energy and Environment
;
Enterprise Information Systems
;
Linear Programming
;
Logistics
;
Mathematical Modeling
;
Methodologies and Technologies
;
Operational Research
;
Pattern Recognition
;
Routing
;
Software Engineering
Abstract:
In this paper, we study the road freight transportation activities, which are significant sources of air pollution, noise and greenhouse gas emissions, with the former known to have harmful effects on human health and the latter, responsible for global warming. Specifically, an extension of the classical Capacitated Vehicle Routing Problem is presented, including realistic assumptions (Time Windows, Backhauls and Heterogeneous Fleet with different vehicles and fuel types). The decisions are aimed at the selection of vehicle and fuel types, the scheduling of deliveries and pick-up processes and the consolidation of freight flows. The classical objective functions of minimizing the total travel distance or the internal costs (driver, fuel or maintenance) are extended to other sustainable measures: the amount of air pollution and greenhouse gas emissions, the energy consumption and their costs. A mathematical model is described and an illustrative example is performed.