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