TY - JOUR AU - García-Mata, Carmen L. AU - Márquez-Gutiérrez, Pedro R. AU - Burtseva, Larysa PY - 2015/11/15 Y2 - 2024/03/29 TI - Rescheduling in Industrial Environments: Emerging Technologies and Forthcoming Trends JF - International Journal of Combinatorial Optimization Problems and Informatics JA - Int. Journal of COP and Infor. VL - 6 IS - 3 SE - Articles DO - UR - https://ijcopi.org/ojs/article/view/50 SP - 34-48 AB - <p>The scheduling problems in Manufacturing Systems are characterized by a high degree of uncertainties arising from diverse factors such as stochastic environments and data incompleteness. However, traditionally the schedules generated for those environments are deterministic, or quasi-deterministic at the best, and only recently the approach static is being shifted for a stochastic approach. This paper highlights the uncertainty characteristics that should be taken into account to improve the schedule robustness.&nbsp;&nbsp; In this research, selected cases from the last ten years of stochastic scheduling literature are reviewed, specially the ones relatives to&nbsp; Semiconductor Factories. Another&nbsp; important objective of our report is to bring the attention of researchers to emerging methodologies and technologies coming from the subject of Knowledge Representation and Reasoning.&nbsp; These new methodologies and technologies are well suited to solve hard combinatorial problems with incomplete knowledge.</p> ER -