Vehicle routing with endogenous learning: Application to offshore plug and abandonment campaign planning

Data-Driven Joint Chance-Constrained Optimization for the Workover Rig Scheduling Problem

“…Adapting the model from Bakker et al (2017), Bakker et al (2019) developed a commodity flow type formulation for the P&A planning that allowed to tackle larger instances and consider different assumptions such as multiple routes per ship and reduced operability of lighter vessels in the winter. Bakker et al (2021) adapted these formulations to consider learning curve effects on the vessel's processing times. All these P&A models were part of Bakker (2020), in which the author also presented a study problem using stochastic dual dynamic integer programming for the development of a mature offshore oilfield.…”