Multi-Objective Optimization Genetic Algorithm for Flow-Shop Scheduling Module by Using Fuzzy-AHP

Scheduling problem is a multi-objective optimization problem. Genetic algorithms (GAs) have showed the ability of finding near optimal solutions for flow-shop scheduling problems. The infection of delivery time delay, machine efficiency, employee overtime and other criteria should be considered. Because the ERP system realizes the production process management of the enterprise, data mining method could be used to find effective information in system. This paper improves the ordinary genetic algorithm and designs a multi-optimization flow-shop scheduling algorithm by using fuzzy-AHP. It also gives an example that proved it was feasible and effective approach method.