Scheduling Algorithms for a Hybrid Flow Shop under Uncertainty
In modern production systems, scheduling problems have to be solved in consideration of frequently changing demands and varying production parameters.This paper presents a approach combining forecasting and classification techniques to predict uncertainty from demands, and production data with heuristics, metaheuristics, and discrete event simulati