DSS of vehicle refueling: A new enhanced approach with fuel weight considerations

作者:

Highlights:

• A new DSS of vehicle refueling is developed that cuts the fuel cost of motor carriers.

• DSS considers the impact of fuel weight on fuel consumption rates.

• DSS prevents trucks from carrying excess amounts of fuel, which worsens fuel economy.

• DSS outperforms the existing DSS in terms of both the fuel cost and fuel burn.

摘要

The fixed-route vehicle-refueling problem (FRVRP) is a mathematical problem widely used in the U.S. trucking industry. The FRVRP seeks the best refueling policy (sequence of fuel stations to use, along with the fueling quantity at each station) for a given (fixed) origin–destination route that minimizes a vehicle's refueling cost. While effective, the current FRVRP methods need not produce optimal solutions, as they ignore the negative impacts that carrying excessive amounts of fuel in the tank can have on fuel consumption rates. This paper proposes a new approach to the FRVRP that takes into account the benefit of retaining some empty space in the fuel tank at all times, which enhances fuel economy. We show by conducting computational testing that our approach attains not only cheaper refueling costs, but also lower fuel burns, than other approaches. Our approach is simple, yet its implementation may save millions of gallons of diesel fuel and billions of dollars of fuel cost for the U.S. trucking industry per year.

论文关键词:Decision support systems,Trucks,Fuel cost,Fuel consumption,Optimization

论文评审过程:Received 11 February 2014, Revised 11 August 2014, Accepted 18 October 2014, Available online 24 October 2014.

论文官网地址:https://doi.org/10.1016/j.dss.2014.10.005