International Journal of Computational Intelligence Systems

Volume 13, Issue 1, 2020, Pages 727 - 733

Optimizing Production Mix Involving Linear Programming with Fuzzy Resources and Fuzzy Constraints

Authors
B.O. Onasanya1, 4, Y. Feng2, 6, *, ORCID, Z. Wang3, O.V. Samakin4, ORCID, S. Wu5, X. Liu3
1Key Laboratory of Intelligent Information Processing and Control, Chongqing Three Gorges University, Wanzhou, Chongqing, 404100, China
2Chongqing Engineering Research Center of Internet of Things and Intelligent Control Technology, Chongqing Three Gorges University, Wanzhou, Chongqing, 404100, China
3School of Three Gorges Artificial Intelligence, Chongqing Three Gorges University, Wanzhou, Chongqing, 404100, China
4University of Ibadan, Ibadan, Oyo State, 200284, Nigeria
5School of Three Gorges Big Data, Chongqing Three Gorges University, Wanzhou, Chongqing, 404100, China
6School of Computer Science and Engineering, Chongqing Three Gorges University, Wanzhou, Chongqing, 404100, China
*Corresponding author. Email: yumingfeng25928@163.com
Corresponding Author
Y. Feng
Received 26 February 2020, Accepted 17 May 2020, Available Online 11 June 2020.
DOI
10.2991/ijcis.d.200519.002How to use a DOI?
Keywords
Fuzzy resources; Fuzzy constraints; Fuzzy objective function; Fuzzy optimization
Abstract

In this paper, Fuzzy Linear Programming (FLP) was used to model the production processes at a university-based bakery for optimal decisions in the daily productions of the bakery. Using the production data of five products from the bakery, a fuzzy linear programme was developed to help make decisions when fuzzy resources were involved. As usual, classical linear programme gave only one feasible solution. However, while it was established that solving the linear programme from the production mix when fuzzy constraints were introduced (Verdegay's model) gave a more robust and alternative set of decisions than the classical model, it was equally established that a better result could be obtained when all the constraints and the objective function were fuzzy (Werners' Model).

Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
13 - 1
Pages
727 - 733
Publication Date
2020/06/11
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.2991/ijcis.d.200519.002How to use a DOI?
Copyright
© 2020 The Authors. Published by Atlantis Press SARL.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - B.O. Onasanya
AU  - Y. Feng
AU  - Z. Wang
AU  - O.V. Samakin
AU  - S. Wu
AU  - X. Liu
PY  - 2020
DA  - 2020/06/11
TI  - Optimizing Production Mix Involving Linear Programming with Fuzzy Resources and Fuzzy Constraints
JO  - International Journal of Computational Intelligence Systems
SP  - 727
EP  - 733
VL  - 13
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.d.200519.002
DO  - 10.2991/ijcis.d.200519.002
ID  - Onasanya2020
ER  -