International Journal of Computational Intelligence Systems

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Volume 9, Issue 3, June 2016, Pages 483 - 496

A Decision Support System Based on a Genetic Algorithm for the Utilization of Leftovers

Authors
Hsin-Pin Fuhpfu@nkfust.edu.tw
Department of Marketing and Distribution Management, National Kaohsiung First University of Science and Technology, Kaohsiung City, 811, Taiwan, R. O. C.
Cheng-Yuan Kucooper.c.y.ku@gmail.com
Department of Information Management and Finance, National Chiao Tung University, Hsinchu City, 300, Taiwan, R. O. C.
Tsung-Sheng Chang*, china@mail.dyu.edu.tw
Department of Information Management, Da-Yeh University, Dacun, Changhua, 515, Taiwan, R. O. C.
*Corresponding author’s address: Department of Information Management, Da-Yeh University, No.168, University Rd., Dacun, Changhua 515, Taiwan, R. O. C. Tel: +886-4-8511888 ext. 3132.
Corresponding Author
Tsung-Sheng Changchina@mail.dyu.edu.tw
Received 12 October 2015, Accepted 10 February 2016, Available Online 1 June 2016.
DOI
10.1080/18756891.2016.1175813How to use a DOI?
Keywords
Decision support system (DSS); Genetic algorithm (GA); Usable leftovers; Scraps; Matching problem; Optimization
Abstract

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.

Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

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<Previous Article In Issue
Next Article In Issue>
Journal
International Journal of Computational Intelligence Systems
Volume-Issue
9 - 3
Pages
483 - 496
Publication Date
2016/06/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2016.1175813How to use a DOI?
Copyright
© 2016. the authors. Co-published by Atlantis Press and Taylor & Francis
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Cite this article

risenwbib
TY  - JOUR
AU  - Hsin-Pin Fu
AU  - Cheng-Yuan Ku
AU  - Tsung-Sheng Chang
PY  - 2016
DA  - 2016/06/01
TI  - A Decision Support System Based on a Genetic Algorithm for the Utilization of Leftovers
JO  - International Journal of Computational Intelligence Systems
SP  - 483
EP  - 496
VL  - 9
IS  - 3
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2016.1175813
DO  - 10.1080/18756891.2016.1175813
ID  - Fu2016
ER  -