Mobile system for continuous improvement of quality and processes in the food industry
DOI:
https://doi.org/10.33448/rsd-v12i3.40334Keywords:
System; Food industry; Results optimization.Abstract
The objective of this work was to develop a mobile system and a web system to improve quality and processes in the food industry. The native language for the development of the mobile system was JAVA, using the Android studio operating platform, version 3.4 in the mobile system. In the web system, the native language was React, using the Visual Studio Code development platform, version 1.25.1. The developed systems portray two modules. The first module runs on a mobile device and was responsible for collecting data from employees of a food industry that works with indicators. Upon completion of the tests, the system automatically sends the data to an online server that stores it in the Firebase database, which can only be accessed online since it is hosted in the cloud. The second module is aimed at the industry manager, so that he can visualize the data and manage the company through tests and statistical methods, in the way that only he can register new employees, among other features. The use of the mobile system for the acquisition and statistical treatment of data from indicators in the food industry can be used in several industries to aid in the development and analysis of new ones, in quality control, in company management and with efficient decision making and fast. The developed system is important with regard to environmental sustainability by extinguishing the use of paper forms, as it can be used on tablets, smartphones and computers.
References
Abbate, S.; Centobelli, P. & Cerchione, R. (2023). The digital and sustainable transition of the agri-food sector. Technological Forecasting and Social Change. 187, 122222. https://doi.org/10.1016/j.techfore.2022.122222
ABIA - Associação Brasileira das Indústrias de Alimentação. (2022). Coletiva de imprensa da ABIA divulga indicadores do setor. https://www.abia.org.br/releases/coletiva-de-imprensa-da-abia-divulga-indicadores-do-setor
Agência IBGE notícias. (2022). Internet já é acessível em 90,0% dos domicílios do país em 2021. https://agenciadenoticias.ibge.gov.br/agencia-noticias/2012-agencia-de-noticias/noticias/34954-internet-ja-e-acessivel-em-90-0-dos-domicilios-do-pais-em-2021
Babu, T.; Roopa, H.; Shukla, A. K.; David, D. S.; Jayadatta S. & Rajesh A.S. (2022). Internet of things-based automation design and organizational innovation of manufacturing enterprises. Materials Today: Proceedings, 56, 4, 1769-1775. doi: https://doi.org/10.1016/j.matpr.2021.10.459.
Basu, S. (2023). Manufacturing and factory automation. Swapan Basu, Plant Intelligent Automation and Digital Transformation, Academic Press, 1, pp. 243-272. doi: https://doi.org/10.1016/B978-0-323-90246-5.00022-3.
Bigliardi, B. (2021). Industry 4.0 Applied to Food. Charis M. Galanakis, Sustainable Food Processing and Engineering Challenges, Academic Press, pp. 1-23. doi: https://doi.org/10.1016/B978-0-12-822714-5.00001-2.
Dalfovo, K. R. (2018). Projeto de Interface Gráfica para Aplicativo Mobile de Gestão Informatizada e Controle de Produção de Ostras (Trabalho de conclusão do curso). Universidade Federal de Santa Catarina, Florianópolis, Santa Catarina, Brasil.
Flesch, A. E. (2022). Solução tecnológica na implantação de programas de autocontrole em uma indústria de alimentos, Dissertação (Mestrado). Universidade Estadual do Rio Grande do Sul, Encantado, Rio Grande do Sul, Brasil.
Goti, A; Akyazi, T.; Alberdi, E; Oyarbide, A. & Bayon, F. (2022). Future skills requirements of the food sector emerging with industry 4.0. Charis M. Galanakis, Innovation Strategies in the Food Industry (Second Edition). Academic Press, pp. 253-285. doi: https://doi.org/10.1016/B978-0-323-85203-6.00011-6.
Hassoun, A.; Prieto, M. A.; Carpena, M.; Bouzembrak, Y.; Marvin H. J. P.; Pallarés, N.; Barba, F. J.; Bangar, S. P.; Chaudhary, V.; Ibrahim, S & Bono, G. (2022). Exploring the role of green and Industry 4.0 technologies in achieving sustainable development goals in food sectors. Food Research International. 162, 112068. doi: https://doi.org/10.1016/j.foodres.2022.112068
Hassoun, A.; Jagtap, S.; Trollman, H.; Garcia-Garcia, G.; Abdullah, N. A; Goksen, G.; Bader, F.; Ozogul, F.; Barba, F. J.; Cropotova, J.; Munekata, P. E.S. & Lorenzo, J. M. (2023). Food processing 4.0: Current and future developments spurred by the fourth industrial Revolution. Food Control. 145, 109507. doi: https://doi.org/10.1016/j.foodcont.2022.109507
Kodan, R.; Rashed, M. S.; Pandit, M. K.; Parmar, P. & Pathania, S. (2022). Internet of things in food industry. Charis M. Galanakis, Innovation Strategies in the Food Industry (Second Edition), Academic Press, pp. 287-303. doi: https://doi.org/10.1016/B978-0-323-85203-6.00019-0.
Laudon, K.C.; Laudon, J. P. (1999). Sistemas de informação: organizando as informações: arquivos e bancos de dados. (Vol. 1. ed.4. pp. 121–278). Rio de Janeiro: J.C. Editora.
Lindberg, C; Tan, S; Yan, J; Starfelt, F. (2015). Key Performance Indicators Improve Industrial Performance. Energy Procedia, 75, 1785 – 1790. doi: https://doi.org/10.1016/j.egypro.2015.07.474
Ogliari, R.S.; Brito, R.C. (2014). ANDROID, Do Básico ao Avançado. (pp. 398). Rio de Janeiro: Ciência moderna.
Raja, V.; Krishnamoorthy, S.; Moses, J.A. & Anandharamakrishnan, C. (2022). ICT applications for the food industry. Rajeev Bhat. Future Foods, Academic Press, pp. 613-626. doi: https://doi.org/10.1016/B978-0-323-91001-9.00001-3.
Sampaio, A. G. S. (2021). Tecnologia da informação no transporte logistico: um estudo de caso em uma industria de alimentação (Trabalho de conclusão do curso). PUC, Goiás, Brasil.
Sant’Anna, A. A.; Leonardo, A. L.; Reis, M. V.; Rocha, V. A. R. & Souza, F. H. B. (2021, dez.) Ferramentas organizacionais e tecnologias da industria 4.0: estudo de caso da otimização de processos de um restaurante de pequeno porte. In XI Congresso Brasileiro de Engenharia de Produção. (pp. 1-12), Paraná, Brasil.
Tsolakis, N.; Harrington, T. S. & Srai, J. S. (2023). Leveraging Automation and Data-driven Logistics for Sustainable Farming of High-value Crops in Emerging Economies. Smart Agricultural Technology, 4, pp. 100139. doi: https://doi.org/10.1016/j.atech.2022.100139.
Yadav, V. S.; Singh, A.R.; Raut, R. D.; Mangla, S. K.; Luthra, S.; Kumar, A. (2022). Exploring the application of Industry 4.0 technologies in the agricultural food supply chain: A systematic literature review. Computers & Industrial Engineering, 169, 108304. doi: https://doi.org/10.1016/j.cie.2022.108304
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Mattheus Brito Rodrigues; Maria de Fatima de Medeiros Garcia; Thaisa Abrantes Souza Gusmão; Wilkerson L Andrade; Rennan Pereira de Gusmão
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
