Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)

Application of fuzzy linear programming to transportation planning decision problems with multiple fuzzy goals

Authors
Tien-Fu Liang1
1Hsiuping Institute of Technology
Corresponding Author
Tien-Fu Liang
Available Online October 2006.
DOI
https://doi.org/10.2991/jcis.2006.66How to use a DOI?
Keywords
Transportation planning decisions; Fuzzy linear programming; Fuzzy set theory
Abstract

This work develops a fuzzy linear programming (FLP) method for solving the transportation planning decision (TPD) problems with fuzzy goals, available supply and forecast demand. The proposed method attempts to minimize the total production and transportation costs and the total delivery time with reference to available supply and machine capacities at each source, as well as forecast demand and warehouse space constraints at each destination. An industrial case is used to demonstrate the feasibility of applying the FLP method to a real TPD problem.

Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
Series
Advances in Intelligent Systems Research
Publication Date
October 2006
ISBN
978-90-78677-01-7
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2006.66How to use a DOI?
Copyright
© 2006, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Tien-Fu Liang
PY  - 2006/10
DA  - 2006/10
TI  - Application of fuzzy linear programming to transportation planning decision problems with multiple fuzzy goals
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.66
DO  - https://doi.org/10.2991/jcis.2006.66
ID  - Liang2006/10
ER  -