5f05ca25_on_and_Planning_Research_Group__Description
[Research Theme] Production Scheduling/Re-scheduling. [Description] 
Real world production scheduling problems, which require the efficient allocation of jobs onto machines, are notoriously complex: machines are many and of different characteristics, workers get sick, new jobs arrive to the shop floor, machines break down, etc. Moreover, the case where two or more objective functions have to be optimised simultaneously is often present. Under these circumstances, classical optimisation methods are usually insufficient and, in order to be successful, scheduling systems have to make use of modern artificial intelligence (AI) based techniques. ASAP is a leader in the investigation, design and application of AI techniques, including evolutionary algorithms and hyperheuristics, hybridised with fuzzy systems and multi-objective optimisation approaches, to the scheduling and rescheduling of production shops. Algorithms developed by ASAP have been successfully applied to a wide variety of problems that emerge, among others, from steel production, printed circuit board assembly, cardboard box manufacturing and the printing industry.
Research Themes | Automated Scheduling, Optimisation and Planning Research Group
Description