• ISSN: 2010-0248 (Print)
    • Abbreviated Title: Int. J. Innov.  Manag. Technol.
    • Frequency: Quarterly
    • DOI: 10.18178/IJIMT
    • Editor-in-Chief: Prof. Jin Wang
    • Managing Editor: Ms. Nancy Y. Liu
    • Abstracting/ Indexing: Google Scholar, CNKI, Ulrich's Periodicals Directory,  Crossref, Electronic Journals Library.
    • E-mail: ijimt@ejournal.net
HOME > Archive > 2013 > Volume 4 Number 1 (Feb. 2013) >
IJIMT 2013 Vol.4(1): 112-116 ISSN: 2010-0248
DOI: 10.7763/IJIMT.2013.V4.371

A Decision Support System for Reducing Transport Period of Wood Chips

D. Rotkanok, T. Angskun, and J. Angskun

Abstract—Wood chips business is one of the fastest growing agriculture products in Thailand. However, there are some problems in its transport system. Under the obligation by the department of forestry and the insufficiency of unloading areas, a long period of waiting time for loading and unloading products have been occurred; as a result, the total transport period of wood chips has been extended. Thus, a decision support system (DSS) for reducing transport period of wood chips in order to increase the turnover of business is designed. The paper also provides a model of the DSS for wood chip transport management which helps to reduce (1) waiting time at original nodes; (2) waiting time at terminal nodes; and (3) travel time for transport by using the opportunity costs concepts. The model can help utilize trucks efficiently by reducing overall transport periods up to 63 percent per month. In addition, this proposed model can be even adapted to the other similar transport systems such as timbers.

Index Terms—Decision support system, transport period, wood chips.

D. Rotkanok, T. Angskun and J. Angsku are with the School of Information Technology, Suranaree University of Technology, Nakhon-Ratchasima 30000 Thailand (e-mail: d.rotkanok@gmail.com, angskun@sut.ac.th, jitimon@sut.ac.th).

[PDF]

Cite: D. Rotkanok, T. Angskun, and J. Angskun, "A Decision Support System for Reducing Transport Period of Wood Chips," International Journal of Innovation, Management and Technology vol. 4, no. 1, pp. 112-116, 2013.

PREVIOUS PAPER
A Hybrid Method using Analytic Hierarchical Process and Artificial Neural Network for Supplier Selection
NEXT PAPER
Affect Analysis of Radical Contents on Web Forums Using SentiWordNet
Copyright © 2010-2024. International Journal of Innovation, Management and Technology. All rights reserved.
E-mail: ijimt@ejournal.net
Published by International Association of Computer Science and Information Technology (IACSIT Press)