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

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 decision...

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Veröffentlicht in:International journal of computational intelligence systems Jg. 13; H. 1; S. 727 - 733
Hauptverfasser: Onasanya, B. O., Feng, Y., Wang, Z., Samakin, O. V., Wu, S., Liu, X.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Dordrecht Springer Netherlands 01.01.2020
Springer Nature B.V
Springer
Schlagworte:
Bakeries
Constraint modelling
Decisions
Fuzzy constraints
Fuzzy objective function
Fuzzy optimization
Fuzzy resources
Linear programming
Optimization
Special Issue
Fuzzy optimization
Fuzzy resources
Fuzzy objective function
Fuzzy constraints
ISSN:1875-6891, 1875-6883, 1875-6883
Online-Zugang:Volltext
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Zusammenfassung: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).
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1875-6891
1875-6883
1875-6883
DOI:10.2991/ijcis.d.200519.002