Abstract
This paper describes a decision support system that has been developed to manage petroleum deliveries from a bulk terminal to petrol stations using a fleet of petrol tanker trucks. The problem is defined as a petrol station replenishment problem with customer demands determined using a prediction algorithms based on time series of daily sales. The DSS employs a user-defined road network as the underlying transport to meet governmental hazardous goods transport regulations. The system was implemented and has been in operation for over 18 months. Delivery costs per litre delivered have decreased 15% in comparison with those of previous years.
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Gromov, V.A., Kuznietzov, K.A. & Pigden, T. Decision support system for light petroleum products supply chain. Oper Res Int J 19, 219–236 (2019). https://doi.org/10.1007/s12351-016-0290-5
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DOI: https://doi.org/10.1007/s12351-016-0290-5