148423 - Robust temporal optimisation for a crop planning problem under climate change uncertainty.pdf (1.15 MB)
Robust temporal optimisation for a crop planning problem under climate change uncertainty
journal contributionposted on 2023-05-21, 05:04 authored by Randall, M, Erin MontgomeryErin Montgomery, Lewis, A
Considering a temporal dimension allows for the delivery of rolling solutions to complex real-world problems. Moving forward in time brings uncertainty, and large margins for potential error in solutions. For the multi-year crop planning problem, the largest uncertainty is how the climate will change over coming decades. The innovation this paper presents are novel methods that allow the solver to produce feasible solutions under all climate models tested, simultaneously. Three new measures of robustness are introduced and evaluated. The highly robust solutions are shown to vary little across different climate change projections, maintaining consistent net revenue and environmental flow deficits.
Publication titleOperations Research Perspectives
Department/SchoolSchool of Information and Communication Technology
Place of publicationNetherlands
Rights statement© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).