Abstract
The supply order management problem (SOMP) is an important planning problem in the offshore oil and gas industry. The SOMP consists of determining, for a given departure for an offshore supply vessel following a fixed route, which orders to and from offshore oil and gas installations to serve and which orders to postpone. We propose a mixed-integer programming (MIP) model for this purpose. By setting up the model in a number of ways and running simulations using the model, we compare the performance of various planning strategies. As a case study, we use data from Petrobras, which is the main state-owned oil company in Brazil. It is shown that reductions in the amount of critical order delays can be achieved with careful planning using the proposed MIP model.
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Andersson, H., Cuesta, E.F., Fagerholt, K., Gausel, N.T., Hagen, M.R. (2015). Order Management in the Offshore Oil and Gas Industry. In: Corman, F., Voß, S., Negenborn, R. (eds) Computational Logistics. ICCL 2015. Lecture Notes in Computer Science(), vol 9335. Springer, Cham. https://doi.org/10.1007/978-3-319-24264-4_44
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DOI: https://doi.org/10.1007/978-3-319-24264-4_44
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