A risk management system for sustainable fleet replacement
This article analyzes the fleet management problem faced by a firm when deciding which vehicles to add to its fleet. Such a decision depends not only on the expected mileage and tasks to be assigned to the vehicle but also on the evolution of fuel and CO2 emission prices and on fuel efficiency. This...
| Main Authors: | , , |
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| Format: | Journal Article |
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Elsevier BV * North-Holland
2014
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| Online Access: | http://hdl.handle.net/20.500.11937/15076 |
| _version_ | 1848748796843917312 |
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| author | Ansaripoor, Amir Oliveira, F. Liret, A. |
| author_facet | Ansaripoor, Amir Oliveira, F. Liret, A. |
| author_sort | Ansaripoor, Amir |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This article analyzes the fleet management problem faced by a firm when deciding which vehicles to add to its fleet. Such a decision depends not only on the expected mileage and tasks to be assigned to the vehicle but also on the evolution of fuel and CO2 emission prices and on fuel efficiency. This article contributes to the literature on fleet replacement and sustainable operations by proposing a general decision support system for the fleet replacement problem using stochastic programming and conditional value at risk (CVaR) to account for uncertainty in the decision process. The article analyzes how the CVaR associated with different types of vehicle is affected by the parameters in the model by reporting on the results of a real-world case study. |
| first_indexed | 2025-11-14T07:10:44Z |
| format | Journal Article |
| id | curtin-20.500.11937-15076 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T07:10:44Z |
| publishDate | 2014 |
| publisher | Elsevier BV * North-Holland |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-150762017-09-13T15:51:04Z A risk management system for sustainable fleet replacement Ansaripoor, Amir Oliveira, F. Liret, A. Risk management Fleet replacement Decision support systems Stochastic programming Conditional value at risk (CVaR) Sustainable operations This article analyzes the fleet management problem faced by a firm when deciding which vehicles to add to its fleet. Such a decision depends not only on the expected mileage and tasks to be assigned to the vehicle but also on the evolution of fuel and CO2 emission prices and on fuel efficiency. This article contributes to the literature on fleet replacement and sustainable operations by proposing a general decision support system for the fleet replacement problem using stochastic programming and conditional value at risk (CVaR) to account for uncertainty in the decision process. The article analyzes how the CVaR associated with different types of vehicle is affected by the parameters in the model by reporting on the results of a real-world case study. 2014 Journal Article http://hdl.handle.net/20.500.11937/15076 10.1016/j.ejor.2014.02.006 Elsevier BV * North-Holland restricted |
| spellingShingle | Risk management Fleet replacement Decision support systems Stochastic programming Conditional value at risk (CVaR) Sustainable operations Ansaripoor, Amir Oliveira, F. Liret, A. A risk management system for sustainable fleet replacement |
| title | A risk management system for sustainable fleet replacement |
| title_full | A risk management system for sustainable fleet replacement |
| title_fullStr | A risk management system for sustainable fleet replacement |
| title_full_unstemmed | A risk management system for sustainable fleet replacement |
| title_short | A risk management system for sustainable fleet replacement |
| title_sort | risk management system for sustainable fleet replacement |
| topic | Risk management Fleet replacement Decision support systems Stochastic programming Conditional value at risk (CVaR) Sustainable operations |
| url | http://hdl.handle.net/20.500.11937/15076 |