標題: A Decision Support System Based on a Genetic Algorithm for the Utilization of Leftovers
作者: Fu, Hsin-Pin
Ku, Cheng-Yuan
Chang, Tsung-Sheng
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
關鍵字: Decision support system (DSS);Genetic algorithm (GA);Usable leftovers;Scraps;Matching problem;Optimization
公開日期: 3-May-2016
摘要: There are usually some leftovers (usable pieces of raw material) and scraps (unusable pieces of raw material).generated after the completion of a manufacturing process. These leftovers consist of many different types, materials, styles and sizes so the use of such materials is difficult to manage, resulting in a significant material management problem for manufacturers. This study examines ways to use these leftovers and proposes the application of a genetic algorithm to handle the problem of matching usable leftovers to incoming orders. In order to verify the feasibility of the solution, a decision support system was implemented, based on a genetic algorithm. With lots of experimental results, we conclude this method is thus of considerable value to the managers of manufacturing factories.
URI: http://dx.doi.org/10.1080/18756891.2016.1175813
http://hdl.handle.net/11536/133626
ISSN: 1875-6891
DOI: 10.1080/18756891.2016.1175813
期刊: INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Volume: 9
Issue: 3
起始頁: 483
結束頁: 496
Appears in Collections:Articles