Stock analysis of the production process using fuzzy inference for decision making: case study
International Journal of Development Research
Stock analysis of the production process using fuzzy inference for decision making: case study
Received 28th January, 2021; Received in revised form 19th February, 2021; Accepted 11th March, 2021; Published online 28th April, 2021
Copyright © 2021, Pablo Rock Dias Carvalho et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
The objective of the work is to propose a methodology for stock assessment and decision making in a phyto cosmetics company, using fuzzy logic. In this case study, we tried to answer the level of production and, consequently, the reasonableness of the stock. Such AI technique was chosen because it is the most suitable for better decision making. With the results obtained by the simulation with the real data, it was possible to verify that using the fuzzy logic technique the decision making had a greater precision for the applied scenario and this will bring benefits to the company, as well as the minimization of storage costs and weekly production beyond what is necessary. It is concluded that the methodology was able to achieve the established objectives, indicating by means of fuzzy logic a better decision making in the production of products.
