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First Asia International Conference on Modelling & Simulation (AMS'07)
Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making
Prince of Songkla University, Phuket, Thailand
March 27-March 30
ISBN: 0-7695-2845-7
ASCII Text
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Sani Susanto, Neneng Tintin Rosmiyanti, Pandian Vasant, Arijit Bhattacharya, "Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making," Asia International Conference on Modelling & Simulation, pp. 552-555, First Asia International Conference on Modelling & Simulation (AMS'07), 2007.
 
 
BibTex
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@article{ 10.1109/AMS.2007.48,
author = {Sani Susanto and Neneng Tintin Rosmiyanti and Pandian Vasant and Arijit Bhattacharya},
title = {Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making},
journal ={Asia International Conference on Modelling & Simulation},
volume = {0},
year = {2007},
isbn = {0-7695-2845-7},
pages = {552-555},
doi = {http://doi.ieeecomputersociety.org/10.1109/AMS.2007.48},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Asia International Conference on Modelling & Simulation
TI - Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making
SN - 0-7695-2845-7
SP552
EP555
A1 - Sani Susanto,
A1 - Neneng Tintin Rosmiyanti,
A1 - Pandian Vasant,
A1 - Arijit Bhattacharya,
PY - 2007
KW - null
VL - 0
JA - Asia International Conference on Modelling & Simulation
ER -
 
Sani Susanto, Parahyangan Catholic University, Indonesia
Neneng Tintin Rosmiyanti, Padjadjaran University, Indonesia
Pandian Vasant, Universiti Teknologi Petronas, Malaysia
Arijit Bhattacharya, The Patent Office, India
This paper focuses on optimizing product-mix problem using real-world data of a food processing industry. The extensively used LP model has been remodeled using fuzzy sets and applied to the real-world problem. The developed LP model is able to consider the fuzziness in the parameters and to tackle the presence of multiple objective functions. The degree of satisfaction of the product-mix decision-maker in terms of (i) the total profit obtained and (ii) the waste resulted, is at least 70%, which is encouraging.
Citation:
Sani Susanto, Neneng Tintin Rosmiyanti, Pandian Vasant, Arijit Bhattacharya, "Fuzzy Multi-object Linear Programming Application in Product-Mix Decision-Making," ams, pp.552-555, First Asia International Conference on Modelling & Simulation (AMS'07), 2007
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