Development of a Expert System and a Prototype of a Cyber-physical System for the Administrative Control of the Supply of Beverages and Soft Drinks

Authors

  • Arturo A. Castro Rodríguez Facultad de Ingeniería de Sistemas Computacionales, Universidad Tecnológica de Panamá, Panamá. https://orcid.org/0000-0002-3151-830X
  • Javier Sanchez-Galan Facultad de Ingeniería de Sistemas Computacionales, Universidad Tecnológica de Panamá, Panamá. Sistema Nacional de Investigación (SNI), SENACYT, Panamá, Panamá. https://orcid.org/0000-0001-8806-7901

DOI:

https://doi.org/10.33936/isrtic.v6i2.4777

Keywords:

Expert System, Industry 4.0, Sustainability, Beverage Supply

Abstract

This project focuses on demonstrating the feasibility of implementing new technologies, mainly artificial intelligence tools, for automated beverage supply control, but also applicable to different types of food products. This is possible since in automation areas, artificial intelligence tools have brought about profound changes in industries and commerce. This is fundamentally due to the advancement of technology and the fact that companies produce massive information that marks risks and uncertainty when making business decisions, so it is of the utmost importance to organize said information efficiently. This project is basically about the development of an expert system that calculates the amount of drink and/or soft drink that is needed the following week in a fast food restaurant, which works together with a prototype of a computer-controlled drink vending machine. Arduino (although it can be any other micro-controller). This document shows aspects for the design, elaboration and development of applications and instruments that meet this objective, in addition to describing the reason for the project and how it intends to contribute to the sector to which it is focused. In the end, a better way to manage the supply of beverages in fast food restaurants is shown and it is concluded that the implementation of this project in this type of business can generate savings in products and can contribute to greatly avoiding environmental pollution. environment, all framed within industry 4.0.

Downloads

Download data is not yet available.

References

Bai, C., Dallasega, P., Orzes, G., and Sarkis, J. (2020). Industry 4.0 technologies assessment: A sustainability perspective. In-ternational journal of production economics, 229:107776.

Ghobakhloo, M. (2020). Industry 4.0, digitization, and opportunities for sustainability. Journal of cleaner production, 252:119869.

Huang, Z., Shen, Y., Li, J., Fey, M., and Brecher, C. (2021). A survey on ai-driven digital twins in industry 4.0: Smart manufacturing and advanced robotics. Sensors, 21(19):6340.

Martinelli, A., Mina, A., and Moggi, M. (2021). The enabling technologies of industry 4.0: examining the seeds of the fourth industrial revolution. Industrial and Corporate Change, 30(1):161–188.

Peres, R. S., Jia, X., Lee, J., Sun, K., Colombo, A. W., and Barata, J. (2020). Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook. IEEE Access, 8:220121– 220139.

Published

2022-09-26

How to Cite

[1]
Castro Rodríguez, A.A. and Sanchez-Galan, J. 2022. Development of a Expert System and a Prototype of a Cyber-physical System for the Administrative Control of the Supply of Beverages and Soft Drinks. Informática y Sistemas. 6, 2 (Sep. 2022), 91–97. DOI:https://doi.org/10.33936/isrtic.v6i2.4777.

Issue

Section

Regular Papers