Fuel economy is one of the key performance indicators (KPI) for transportation and logistics companies, not only for efficiency purposes but also as an input for their drivers rewarding programs. We looked for fair KPIs to measure drivers’ performance that considers the more influential factors affecting fuel economy besides driver behavior. Based on multivariate statistical analyses of data from a large urban and interurban passenger Transport Company, we proposed a model to assess driver´s performance. This model allocates drivers in groups depending on three parameters: (a) the route, which represent the driving cycle; (b) the vehicle age, and (c) the vehicle brand, which represent both vehicle technology and weight. Within each group, fuel-economy exhibit a normal distribution. Drivers located within the upper extreme of the distribution are assessed as best drivers and nominated for the company-rewarding program, while those located in the lower extreme, are scheduled for maintenance of their vehicles.
|Title of host publication||IISE Annual Conference and Expo 2019|
|Editors||H. E. Romeijn, A. Schaefer, R. Thomas|
|Place of Publication||583731 p 677|
|Publisher||IISE Institute of Industrial and Systems Engineering|
|Number of pages||6|
|Publication status||Published - 2019|
|Name||IISE Annual Conference and Expo 2019|
Bibliographical notePublisher Copyright:
© 2019 IISE Annual Conference and Expo 2019. All rights reserved.
Copyright 2020 Elsevier B.V., All rights reserved.
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering