Research Article
Improve of A Fuzzy Inventory Model Using Triangular Fuzzy Numbers and Fractal Interpolation
@INPROCEEDINGS{10.4108/eai.3-11-2023.2347900, author={Eka Susanti and Fitri Maya Puspita and Siti Suzlin Supadi and Evi Yuliza and Oki Dwipurwani and Ning Eliyati and Kamila Alawiyah and Atha Arisanti}, title={Improve of A Fuzzy Inventory Model Using Triangular Fuzzy Numbers and Fractal Interpolation}, proceedings={Proceedings of the 3rd Sriwijaya International Conference on Basic and Applied Sciences, SICBAS 2023, November 3, 2023, Palembang, Indonesia}, publisher={EAI}, proceedings_a={SICBAS}, year={2024}, month={8}, keywords={inventory fuzzy numbers carpet sierspinski}, doi={10.4108/eai.3-11-2023.2347900} }- Eka Susanti
Fitri Maya Puspita
Siti Suzlin Supadi
Evi Yuliza
Oki Dwipurwani
Ning Eliyati
Kamila Alawiyah
Atha Arisanti
Year: 2024
Improve of A Fuzzy Inventory Model Using Triangular Fuzzy Numbers and Fractal Interpolation
SICBAS
EAI
DOI: 10.4108/eai.3-11-2023.2347900
Abstract
The Inventory models can be used to plan the optimal inventory of a product. Several factors that influence the inventory model include demand parameters, prices and costs related to inventory. In special cases, the values of these parameters are uncertain. The fuzzy numbers can be used to express inventory parameters with uncertainty. One of the approach techniques for determining fuzzy parameters is the interpolation technique. This research developed a fractal interpolation technique with an interpolation function constructed from the Sierspinski Carpet. The level of interpolation accuracy is determined by Mean Percentage Absolute Error (MAPE). Economic Order Quantity EOQ model is used to determine optimal inventory. Obtained a MAPE value of 7.15% in the very good category. The optimal inventory, safety stock and reorder points are 14197.49 tons, 2894.87 tons and 4654.669 tons, respectively.