A Hybrid Genetic Algorithm Approach to Multi-objective ERP Training Scheduling Problems
Loading...
Supplementary material
Other Title
Authors
Ching-Long, Su
Wu-Chen, Su
Wu-Chen, Su
Wu-Chen, Su
Wu-Chen, Su
Author ORCID Profiles (clickable)
Degree
Grantor
Date
2007
Supervisors
Type
Conference Contribution - Paper in Published Proceedings
Conference Contribution - Oral Presentation
Conference Contribution - Oral Presentation
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
enterprise resource planning
training scheduling
competence sets
Pareto optimal solutions
multi-objective genetic algorithms
training scheduling
competence sets
Pareto optimal solutions
multi-objective genetic algorithms
ANZSRC Field of Research Code (2020)
Citation
Ching-Long, S., & Wu-Chen, S. (2007). A Hybrid Genetic Algorithm Approach to Multi-objective ERP Training Scheduling Problems. conference contribution - oral presentation.
Abstract
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.
Publisher
Permanent link
Link to ePress publication
DOI
Copyright holder
Su, Wu-Chen
Copyright notice
All rights reserved