essential to achieve industry goals. Nevertheless, the majority of literature in PSC focuses network design or planning, such as in the work by Neiro and Pinto (2004), but usually with simple approaches for inventory management. This is an important task to perform at the operational level, where higher levels of detail are required to fairly represent problems. For this reason, different representation issues, such as time scale, must be addressed. The choice of time scale (discrete or continuous) to use in a model depends mainly on the nature of the problem. According to Kilic et al. (2011), continuous time models are more realistic and yield more precise solutions compared to discrete time models. That is because task durations are accurately accounted for in continuous time models whereas they need to be approximated in discrete time models. However, since the durations of time intervals are not fixed in continuous time models, intermediate due dates are difficult to model. For these reasons, Kilic et al. (2011) applied the discrete scale in the model presented by them. The approach was effective in modelling a scheduling problem in a variety of storage configurations, such as in single or multiple dedicated storage vessels.