Resumen
Currently, it is a common practice within transport companies to reduce fuel consumption of their fleet by awarding best drivers with public symbolic recognitions, as part of their programs to promote efficient driving. Usually fuel economy (FE) is the key performance indicator used to evaluate them. However, FE depends on several other parameters such as the working route, vehicle weight and vehicle technology. Therefore, companies with a diverse fleet composition require a fair KPI to select their best drivers. In this work, we present a model to assess drivers' performance based on FE measurements. Based on multivariate statistical analysis of one-year FE data of an urban and interurban bus transit company, we found that drivers' FE exhibit a normal distribution when they are grouped within three categories: (a) the route, representing the driving cycle; (b) the vehicle age, representing the engine technology, and (c) the number of axles, representing the weight of the vehicle. Thus, the standard statistical analysis to identify outliers was used to identify best drivers and vehicles that require maintenance.
Idioma original | English |
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Título de la publicación alojada | Proceedings of the International Conference on Industrial Engineering and Operations Management |
Editorial | IEOM Society |
Páginas | 457-458 |
Número de páginas | 2 |
Volumen | 2019 |
Edición | MAR |
Estado | Published - mar 2019 |
Evento | 9th International Conference on Industrial Engineering and Operations Management, IEOM 2019 - Bangkok Duración: 5 mar 2019 → 7 mar 2019 |
Serie de la publicación
Nombre | Proceedings of the International Conference on Industrial Engineering and Operations Management |
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Conference
Conference | 9th International Conference on Industrial Engineering and Operations Management, IEOM 2019 |
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País/Territorio | Thailand |
Ciudad | Bangkok |
Período | 5/3/19 → 7/3/19 |
All Science Journal Classification (ASJC) codes
- Estrategia y gestión
- Ciencia de la gestión e investigación de operaciones
- Ingeniería de control y sistemas
- Ingeniería industrial y de fabricación
Huella
Profundice en los temas de investigación de 'A drivers' performance assessment model based on fuel economy measurements'. En conjunto forman una huella única.Premios
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2019 IISE Best Track Paper Award Engineering Management
Díaz Ramírez, Jenny (Recipient) & Huertas, José Ignacio (Recipient), 21 may 2019
Premio