A Hybrid Genetic Algorithm Approach to Multi-objective ERP Training Scheduling Problems
Ching-Long, Su; Wu-Chen, Su
Permanent link to Research Bank record:http://hdl.handle.net/10652/2099
It mainly addresses a hybrid multiobjective training scheduling genetic algorithm in this research. We can get the schedule that almost matches the real decisive results to help enterprises proceed with training scheduling successfully by the algorithm. It can reduce from a week to twenty minutes in schedule. The enterprise can cost less to proceed with the schedule and have great elasticity to make decision. Finally, it lets employee in the enterprise help ERP (enterprise resource planning) system working successfully by joining the training though the establishment of enterprise decision support system and makes the enterprises’ operation cope with changeable businessenvironment with the most effective ways.