  Sustainable forest management requires handling uncertainty introduced from
various sources, considering different conflicting economic, environmental, and
social objectives, and involving multiple decision-making periods. This study
proposes an interactive and intuitive decision-support approach for
sustainable, robust forest harvest scheduling in multiple periods in a
short-term (6-12 months) planning horizon. The approach includes a novel
multi-scenario multiobjective mixed-integer optimization problem that allows
forest planners to separately study the trade-offs between demand satisfactions
for multiple assortments in different planning periods. Moreover, it provides
an intuitive robust analysis to support forest planners in dealing with
uncertainty and investigating potential variations of the outcomes as the
consequences of uncertainty in tactical forest planning problems. We validate
the proposed decision-support approach in a Swedish case study with 250 forest
stands, three assortments (pine, spruce, deciduous trees), and a twelve-month
harvest planning horizon. We demonstrate how the proposed approach supports a
forest practitioner in trade-offs and robust analyses and finding the most
preferred robust solution.
