Optimization with uncertainties: a scheduling example

Abstract The optimization of manufacturing systems is rarely a deterministic task in practice, as uncertainties various origins often have significant impact on the feasibility or quality production plan. decision making process complex multi-stage mechanism that anticipates and reacts to numerous parameter changes, both internal external. Such problems corresponding approaches are classified categorized based features addressed desired objective. goal this paper twofold. First, systematic approach presented enumerate possible for given set degree freedom planning. This illustrated via scheduling example inspired by literature case studies focuses financial objectives with varying demands prices market. Then, selected problem classes identified discussed detail, illustrating examining available techniques tackle them, citing applying same similar approaches.