Optimization of Onion Cracker Production Using Fuzzy Mamdani Logic
Optimasi Produksi Kerupuk Bawang Menggunakan Logika Fuzzy Mamdani
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(1) Mochamad Amirul Afi Program Studi Informatika, Universitas Muhammadiyah Sidoarjo
Indonesia
(2) * Hindarto Hindarto
Program Studi Informatika, Universitas Muhammadiyah Sidoarjo
Indonesia
(3) Ade Eviyanti Program Studi Informatika, Universitas Muhammadiyah Sidoarjo
Indonesia
(*) Corresponding Author
Abstract
By using minimal cst in the maximum product sales will generate optimal profits. The factor of using cost greatly affects the optimal result. Therefore, it is necessary to plan the number of products in a medium and above business in order to continue to produce products to meet market demand. The demand and inventory of goods are factors that need to be considered. Inventory is very difficult to find out when using manual calculations. Therefore, a method is needed to ensure the availability of production goods. In this study, the method used was Mamdani's fuzzy logic. The results of this study are to predict the amount of onion cracker products in the calculation of fuzzy mamdani logic. It is hoped that the results of this study can help medium and upper businesses to determine the number of products that are in accordance with consumer demand. From the calculation results, by entering an input variable of 810 packs and an inventory of 150 packs, the output is 700 packs.
Highlights:
- Demand and Inventory Management: Efficient production planning is crucial for meeting market demand while minimizing waste.
- Fuzzy Logic Advantage: Mamdani's method helps address uncertainty and complexity in production optimization effectively.
- Result Validation: Both manual calculations and MATLAB simulations yield consistent results for optimized output prediction.
Keywords: Optimization, Fuzzy Logic, Mamdani, Onion Crackers, Production
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Copyright (c) 2022 Mochamad Amirul Afi, Hindarto Hindarto, Ade Eviyanti
This work is licensed under a Creative Commons Attribution 4.0 International License.
