A genetic algorithm-based decision support system for allocating international apparel demand

Authors:
Shiue-Shiun Li;Rong-Chang Chen;Chih-Chiang Lin
Affiliations:
Graduate Institute of Business Administration, National Taichung Institute of Technology, Taichung, Taiwan, ROC;Department of Logistics Engineering and Management, National Taichung Institute of Technology, Taichung, Taiwan, ROC;Graduate Institute of Computer Science and Information Technology, National Taichung Institute of Technology, Taichung, Taiwan, ROC
Venue:
ACOS'06 Proceedings of the 5th WSEAS international conference on Applied computer science
Year:
2006

Citing 4
Cited 0

Genetic algorithms: A Survey

Computer
Genetic Algorithms: Concepts and Designs with Disk

Genetic Algorithms: Concepts and Designs with Disk
Building Effective Decision Support Systems

Building Effective Decision Support Systems
Improving First-Come-First-Serve Job Scheduling by Gang Scheduling

IPPS/SPDP '98 Proceedings of the Workshop on Job Scheduling Strategies for Parallel Processing

Quantified Score

Hi-index	0.00

Visualization

Abstract

It has become more and more important and difficult to minimize makespan in the global competitive markets. The purpose of this paper is to develop a decision support system to assist managers in making decisions for minimal makespan. There are too many and complex factors for senior managers to make suitable decisions. By traditional methods to allocate orders for minimum makespan, it often makes unfit decisions. Thus, we used genetic algorithm for analyzing complex data. After calculating by genetic algorithm and first-in-first-out (FIFO), the result shows that allotting orders by genetic algorithm could cause better outcomes.