This work investigates lot sizing with component substitution under demand uncertainty. The integration of in an uncertain context is important because the consolidation for components naturally allows risk-pooling and reduces operating costs. considered problem relevant not only a production context, but also distribution planning. We propose stochastic programming formulation static–dynamic t...

Stochastic optimization models have been extensively applied to financial portfolios and proven their effectiveness in asset asset-liability management. Occasionally, however, they dynamic portfolio problems including not only assets traded secondary markets but also derivative contracts such as options or futures with dedicated payoff functions. Such extension allows the construction of asymme...

• Aircraft maintenance check scheduling optimization considering uncertainties. A tractable lookahead approximate dynamic programming (ADP) methodology is proposed. The ADP adopts a policy that uses deterministic and stochastic forecasts. makes decision its long-term impact. This paper proposes for aircraft scheduling, the uncertainty of daily utilization elapsed time. It framework, using hybri...