Gas-Stations filling procurement problem with a multi-Size compartments vehicles and full tankers under limited number of trucks

The optimization of Petroleum transport has always been a major concern for oil distribution companies. Dispatching and planning is usually done manually on a daily basis and dispatchers must deal with multiple constraints, lack of resources, shortage risk, time windows, etc. In this paper we develop a model to minimize the cost of delivery and maximize the number of delivered customers taking into account the importance of each customer and their associated risks. The models developed will be tested with real data and compared with the real solutions adopted during manual planning by dispatchers. This paper not only takes into account the standard constraints but also it considers the limited number of trucks, a heterogeneous truck fleet, a full loading truck and customers classifications which are not taken into account together in most papers. Lastly we will also introduce the "Farhood" strategy.