Periodic supply vessel planning under demand and weather uncertainty

We solve a periodic supply vessel planning problem under demand and weather uncertainty, arising in offshore of oil gas production. Our study is motivated by the case Norwegian energy operator Equinor which supplied us with data. The aim to determine an optimal fleet composition least-cost schedule uncertain at installations conditions. present methodology incorporating metaheuristic within discrete-event simulation model which, applied iteratively for increasing values reliability level parameters, yields least expected cost.