A state-of-the-art review on scheduling with learning effects
2007; Elsevier BV; Volume: 188; Issue: 2 Linguagem: Inglês
10.1016/j.ejor.2007.05.040
ISSN1872-6860
Autores Tópico(s)Constraint Satisfaction and Optimization
ResumoRecently learning effects in scheduling have received considerable attention in the literature. All but one paper are based on the learning-by-doing (or autonomous learning) assumption, even though proactive investments in know how (induced learning) are very important from a practical point of view. In this review we first discuss the questions why and when learning effects in scheduling environments might occur and should be regarded from a planning perspective. Afterwards we give a concise overview on the literature on scheduling with learning effects.
Referência(s)