Application of agile methodologies, frameworks and concepts in food industries: a systemic review
DOI:
https://doi.org/10.47456/bjpe.v11i3.48185Keywords:
agile, Food industry, Agile methodologiesAbstract
The main objective of this study was to conduct a systematic review on the application of agile methodologies, frameworks, and principles in the food industry. Based on 60 scientific studies, the analysis focused on the key challenges, benefits, and opportunities associated with the adoption of agility in this specific sector. The review highlighted that agility has been contributing to improvements in operational efficiency, innovation in new product development, and enhancements in food safety traceability and control. It also became evident that frameworks such as Kanban and Scrum stand out in practical applications, while concepts like Lean Agile are frequently utilized to optimize processes and reduce waste. Furthermore, the research identified challenges such as cultural resistance and difficulties related to regulatory compliance. The findings underscored the potential of agility as a strategy to address the volatility and uncertainty of the food market, thereby providing greater competitiveness.
Downloads
References
Anderson, D. J. (2010). Kanban: Successful evolutionary change for your technology business. Blue Hole Press.
Baralla, G., Pinna, A., Tonelli, R., Marchesi, M., & Ibba, S. (2020). Ensuring transparency and traceability of food local products: A blockchain application to a Smart Tourism Region. Concurrency and Computation: Practice and Experience, 33(1). https://doi.org/10.1002/cpe.5857
Do, Q. N., Mishra, N., Wulandhari, N. B. I., Ramudhin, A., Sivarajah, U., & Milligan, G. (2021). Supply chain agility responding to unprecedented changes: empirical evidence from the UK food supply chain during COVID-19 crisis. Supply Chain Management, 26(6), 737-752. https://doi.org/10.1108/SCM-09-2020-0470
Dziuba, S. & Szczyrba, A. (2023). Agile management in Polish organic food processing enterprises. Production Engineering Archives, 29(1), 101-107. https://doi.org/10.30657/pea.2023.29.12
Hernández, J. M., & Pedroza-Gutiérrez, C. (2019). Estimating the influence of the network topology on the agility of food supply chains. PloS One, 14(7). https://doi.org/10.1371/journal.pone.0218958
Highsmith, J., & Cockburn, A. (2001). Agile software development: The business of innovation. Computer, 34(9), 120-122. https://doi.org/10.1109/2.947100
Jabbour, C. J. C., Godinho Filho, M., Jabbour, A. B. L. S., & Gunasekaran, A. (2020). Green agility: How lean and agile can accelerate sustainability. Journal of Cleaner Production, 260, 121050. https://doi.org/10.1016/j.jclepro.2020.121050
Jugdev, K., & Müller, R. (2005). A retrospective look at our evolving understanding of project success. Project Management Journal, 36(4), 19-31. https://doi.org/10.1177/875697280503600403
Lim, H. Y., Yu, D., Chan, S. H., & Li, A. (2024). A Suspect Screening Strategy with Automated Data Processing Tools for the Comprehensive Detection of Emerging Chemical Hazards in Food. Food Control, 163. https://doi.org/10.1016/j.foodcont.2024.110538.
Lyons, A. C., & Ma’aram, A. (2013). An examination of multi-tier supply chain strategy alignment in the food industry. International Journal of Production Research, 52(7), 1911-1925. https://doi.org/10.1080/00207543.2013.787172
Malabagi, S., KulKarni, V. N., Mulla, F. M., Gaitonde, V. N., & Kulkarni, S. (2021). Implementation of simulation in food processing industry at tactical level. 2nd International Conference on Manufacturing, Material Science and Engineering 2020, 2358(1). https://doi.org/10.1063/5.0057989
Malefors, C., Secondi, L., Marchetti, S., & Eriksson, M. (2021). Food waste reduction and economic savings in times of crisis: The potential of machine learning methods to plan guest attendance in Swedish public catering during the Covid-19 pandemic. Socio-Economic Planning Sciences, 82. https://doi.org/10.1016/j.seps.2021.101041
Martindale, W., Duong, L., Hollands, T. Æ., & Swainson, M. (2020). Testing the data platforms required for the 21st century food system using an industry ecosystem approach. Science of The Total Environment, 724. https://doi.org/10.1016/j.scitotenv.2020.137871
McBride, K., Aavik, G., Toots, M., Kalvet, T., & Krimmer, R. (2019). How does open government data driven co-creation occur? Six factors and a 'perfect storm'; insights from Chicago's food inspection forecasting model. Government Information Quarterly, 36(1), 88-97. https://doi.org/10.1016/j.giq.2018.11.006
Mefi, N. P., University, W. S., Samson, N., Asoba, S. N. (2021). Employee motivation in crisis situations: the case of a selected organization in the food and retail sector in Cape Town. Academy of Entrepreneurship, 27(2).https://www.abacademies.org/articles/Employee-motivation-in-crisis-situations-the-case-of-a-selected-organization-in-the-food-and-retail-1528-2686-27-2-491.pdf
Mesaros, D., Coroian, A., Longodor, A.L. & Rusu, T. (2022). Agile Project Management in Food Industry. The Scientific Bulletin of Electrical Engineering Faculty, 22(2), 65-69. https://doi.org/10.2478/sbeef-2022-0023
Moe, N. B. & Dingsøyr, T. (2008). Scrum and team effectiveness: Theory and practice. In Agile processes in software engineering and extreme programming (pp. 11-20). Springer. https://doi.org/10.1007/978-3-540-68255-4_2
Muerth, M., Migdall, S., Hodrius, M., Niggemann, F., Holzapfel, M., Bach, H., Gilliams, S., Roey, T V., Cuomo, A., Harwood, P., Pace, N., Sanchez, I. S. M., Dean, A., Suwala, J., Romeo, A., Alonso, I., Mougnaud, P., & Volden, E. (2020). Food Security TEP - Supporting sustainable intensification of food production from Space. IOP Conference Series Earth and Environmental Science, 509(1). https://doi.org/10.1088/1755-1315/509/1/012038
Nguyen, B. T. & Nelson, A. L. (2019). Time for the US food and drug administration approval of condoms for anal intercourse. EClinicalMedicine, 17. https://doi.org/10.1016/j.eclinm.2019.11.019
Oliveira Filho, J. G. de, Silva, C. de O., do Canto, R. A., Egea, M. B., Tonon, R. V., Paschoalin, R. T., Azeredo, H. M. C. de, & Mattoso, L. H. C. (2024). Fast and sustainable production of smart nanofiber mats by solution blow spinning for food quality monitoring: Potential of polycaprolactone and agri-food residue-derived anthocyanins. Food Chemistry, 457. https://doi.org/10.1016/j.foodchem.2024.140057
Pakdaman, M., & Shahanaghi, K. (2021). Agile supply chain performance evaluation: A fuzzy logic approach in the food industry. Journal of Modelling in Management, 16(1), 122-144. https://doi.org/10.1108/JM2-06-2019-0143
Palaniappan, A., Vinodh, S., & Ranganathan, R. (2020). Analysis of factors influencing AM application in food sector using ISM. Journal of Modelling in Management, 15(3). https://doi.org/10.1108/jm2-11-2018-0190
Palmer, S. R., & Felsing, J. M. (2002). A practical guide to feature-driven development. Prentice Hall.
Poppendieck, M., & Poppendieck, T. (2003). Lean software development: An Agile toolkit. Addison-Wesley. https://doi.org/10.5555/1074103
Prabhu, H. M. & Srivastava, A. K. (2023). CEO transformational leadership, supply chain agility and firm performance: A TISM modeling among SMEs. Global Journal of Flexible Systems Management, 24(1), 51-65. https://doi.org/10.1007/s40171-022-00323-y
Santos, R. P., Lima, J. E., & Costa, F. G. (2020). Organizational agility in competitive markets: A systematic literature review. International Journal of Agile Management, 12(3), 45-62. https://doi.org/10.1016/j.ijagile.2020.100203
Schwaber, K. & Sutherland, J. (2020). Guia do Scrum: As regras do jogo. Scrum.org. https://www.scrumguides.org/docs/scrumguide/v2020/2020-Scrum-Guide-Portuguese-BR.pdf
Sharma, M., Antony, R., & Tsagarakis, K. (2023). Green, resilient, agile, and sustainable fresh food supply chain enablers: evidence from India. Annals of Operations Research, 1-27. https://doi.org/10.1007/s10479-023-05176-x
Silva, J. R. & Oliveira, M. A. (2018). Gestão ágil na cadeia de suprimentos: Um estudo de caso no setor alimentício. Revista Gestão & Produção, 25(1), 40-55. https://doi.org/10.1590/0104-530X1234-18
Silva, R. M., Oliveira, J. P., & Costa, A. L. (2020). Gestão do lead time em cadeias de suprimentos: Estratégias para redução e otimização. Revista Brasileira de Gestão de Operações, 18(2), 123-135. https://doi.org/10.5585/rbgo.v18i2.12345
Silva, R. M., Oliveira, J. P., & Costa, A. L. (2021). Agile methodologies in organizational contexts: A comparative analysis of Scrum, Kanban, and Lean Agile. Revista Brasileira de Gestão de Projetos, 12(3), 75-90. https://doi.org/10.5585/rbpg.v12i3.12345
Thomas, C., Maître, I., & Symoneaux, R. (2021). Consumer-led eco-development of food products: a case study to propose a framework. British Food Journal, 123(7). https://doi.org/10.1108/bfj-11-2020-1050
Tsimiklis, P. & Makatsoris, C. (2019). Redistributing food manufacturing: models for the creation and operation of responsive and agile production networks. Production Planning & Control, 30(7), 582-592.https://doi.org/10.1080/09537287.2018.1540069
Published
Issue
Section
License
Copyright (c) 2025 Alexandre, F. M., Shih, H. H. de O. M., & Marfil, P. H. M.

This work is licensed under a Creative Commons Attribution 4.0 International License.

All works published in the Brazilian Journal of Production Engineering (BJPE) are licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
This means that:
Anyone can copy, distribute, display, adapt, remix, and even commercially use the content published in the journal;
Provided that due credit is given to the authors and to BJPE as the original source;
No additional permission is required for reuse, as long as the license terms are respected.
This policy complies with the principles of open access, promoting the broad dissemination of scientific knowledge.


2.png)


























































