A decision support system of dynamic vehicle refueling

Authors:
Yoshinori Suzuki
Affiliations:
Department of Logistics, Operations, and Management Information Systems, College of Business, Iowa State University, 2340 Gerdin Business Building, Ames, Iowa 50011-1350, USA
Venue:
Decision Support Systems
Year:
2009

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Abstract

Fuel optimizers are software products that reduce the fuel cost of motor carriers at the ''point of purchase'' by optimally determining: (i) which truck stop(s) to use, and (ii) how much fuel to buy at the chosen truck stop(s). These products, however, upset many truck drivers by ''confiscating'' their freedom to choose truck stops. Consequently, users are suffering from limited actual cost savings due to low driver compliance rates. We develop a decision support system that reduces the fuel cost of motor carriers at the point of purchase without confiscating the drivers' freedom to choose truck stops, so that higher driver compliance rates are expected.