Production
https://prod.org.br/article/doi/10.1590/0103-6513.20230085
Production
Research Article

Exploring Key Factors for Implementing Manufacturing Execution Systems (MES) within the Framework of Industry 4.0 for Small and Medium-Sized Enterprises (SMEs) in the Manufacturing Sector

Caroline Gomes; Eduarda Busanello; Bruno Padilha; Laura Visintainer Lerman; Verônica Maurer Tabim

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Abstract

Paper aims: The present study addresses this challenge by delving into the influential factors guiding small and medium-sized manufacturing companies towards MES adoption in the context of Industry 4.0.

Originality: Given the longstanding existence of Manufacturing Execution Systems (MES) for two decades before the development of Industry 4.0 (I4.0) concept, the already complex understanding of MES in the market, particularly among manufacturing companies, has become even more intricate. This complexity is exacerbated when considering MES as a pivotal element for vertical integration within the realm of I4.0.

Research method: Through in-depth qualitative interviews, six professionals deeply engaged with MES systems, including three from a system development company and three SME experts utilizing the product, were consulted.


Main findings: The results shed light on how manufacturing SMEs are embracing MES. Drawing upon the technological, organizational, and environmental dimensions, as well as the innovation diffusion process, an integrative model was crafted. This model serves as a lens to scrutinize the intricate process of MES adoption.

Implications for theory and practice: the article advances the diffusion of innovation theory and the technological-organizational-environment framework, because it brings a consolidated vision of both for the implementation of systems in Industry 4.0.

Keywords

Industry 4.0 (I4.0), Manufacturing Execution Systems (MES), Vertical Integration, Small and Medium Enterprises (SMEs), Innovation Diffusion (DOI), Technology–Organization–Environment (TOE) framework

References

Almeida, E. da S., & Pinheiro, R. R. G. (2022). A relevância da industria 4.0 para desenvolvimento do polo industrial brasileiro frente aos desafios: the relevance of industry 4.0 for the development of the brazilian industrial hub facing the challenges. Brazilian Journal of Development, 8(9), 64792-64809. http://doi.org/10.34117/bjdv8n9-289.

Alvarenga Neto, R. C. D. (2002). Gestão da Informação e do Conhecimento nas Organizações: Análise de casos relatados em organizações públicas e privadas [Dissertação de mestrado]. Universidade Federal de Minas Gerais, Belo Horizonte.

Birchall, D. W., Chanaron, J. J., & Soderquist, K. (1996). Managing innovation in SMEs: a comparison of companies in the UK, France and Portugal. International Journal of Technology Management, 12(3), 291-305. https://doi.org/10.1504/IJTM.1996.025496.

Brad, E., & Brad, S. (2021). Algorithm for designing reconfigurable equipment to enable Industry 4.0 and circular economy-driven manufacturing systems. Applied Sciences (Basel, Switzerland), 10(10), 4446. http://doi.org/10.3390/app11104446.

Brunheroto, P., Deschamps, F., Pinheiro de Lima, E., & Gouvea da Costa, S. (2020). How do Industry 4.0 technologies impact performance objectives? Results of an empirical survey in large enterprises and SMEs of the Curitiba Metropolitan Region. In ICPR-Americas 2020. Bahía Blanca, Argentina.

Chau, P. Y. K., & Tam, K. Y. (1997). Factors affecting the adoption of open systems: an exploratory study. Management Information Systems Quarterly, 21(1), 1-24. http://doi.org/10.2307/249740.

Cottyn, J., Van Landeghem, H., Stockman, K., & Derammelaere, S. (2011). A method to align a manufacturing execution system with Lean objectives. International Journal of Production Research, 49(14), 4397-4413. http://doi.org/10.1080/00207543.2010.548409.

Dalenogare, L. S., Benitez, G. B., Ayala, N. F., & Frank, A. G. (2018). The expected contribution of Industry 4.0 technologies for industrial performance. International Journal of Production Economics, 204, 383-394. http://doi.org/10.1016/j.ijpe.2018.08.019.

Dutta, G., Kumar, R., Sindhwani, R., & Singh, R. K. (2022). Overcoming the barriers of effective implementation of manufacturing execution system in pursuit of smart manufacturing in SMEs. Procedia Computer Science, 200, 820-832. http://doi.org/10.1016/j.procs.2022.01.279.

Echchakoui, S., & Ladhari, R. (2023). Sales force control in the area of value-based selling and Industry 4.0: smart self-control based on salesperson business model. Journal of Marketing Analytics, 2023, p. 1-22. http://doi.org/10.1057/s41270-023-00251-5.

El-Haddadeh, R., Osmani, M., Hindi, N., & Fadlalla, A. (2021). Value creation for realising the sustainable development goals: Fostering organisational adoption of big data analytics. Journal of Business Research, 131, 402-410. http://doi.org/10.1016/j.jbusres.2020.10.066.

Enrique, D. V., Lerman, L. V., de Sousa, P. R., Benitez, G. B., Bigares Charrua Santos, F. M., & Frank, A. G. (2022a). Being digital and flexible to navigate the storm: how digital transformation enhances supply chain flexibility in turbulent environments. International Journal of Production Economics, 250, 108668. http://doi.org/10.1016/j.ijpe.2022.108668.

Enrique, D. V., Marcon, É., Charrua-Santos, F., & Frank, A. G. (2022b). Industry 4.0 enabling manufacturing flexibility: technology contributions to individual resource and shop floor flexibility. Journal of Manufacturing Technology Management, 33(5), 853-875. http://doi.org/10.1108/JMTM-08-2021-0312.

Estensoro, M., Larrea, M., Müller, J. M., & Sisti, E. (2022). A resource-based view on SMEs regarding the transition to more sophisticated stages of Industry 4.0. European Management Journal, 40(5), 778-792. http://doi.org/10.1016/j.emj.2021.10.001.

Ghobakhloo, M., & Ching, N. T. (2019). Adoption of digital technologies of smart manufacturing in SMEs. Journal of Industrial Information Integration, 16, 100107. http://doi.org/10.1016/j.jii.2019.100107.

Ghobakhloo, M., Iranmanesh, M., Vilkas, M., Grybauskas, A., & Amran, A. (2022). Drivers and barriers of Industry 4.0 technology adoption among manufacturing SMEs: a systematic review and transformation roadmap. Journal of Manufacturing Technology Management, 33(6), 1029-1058. http://doi.org/10.1108/JMTM-12-2021-0505.

Gil, A. C. (2002). Como elaborar projetos de pesquisa (Vol. 4). São Paulo: Atlas.

Jaskó, S., Skrop, A., Holczinger, T., Chován, T., & Abonyi, J. (2020). Development of manufacturing execution systems in accordance with Industry 4.0 requirements: a review of standard-and ontology-based methodologies and tools. Computers in Industry, 123, 103300. http://doi.org/10.1016/j.compind.2020.103300.

Kapoor, K. K., Dwivedi, Y. K., & Williams, M. D. (2015). Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service. Information Systems Frontiers, 17(5), 1039-1056. http://doi.org/10.1007/s10796-014-9484-7.

Kuan, K. K. Y., & Chau, P. Y. K. (2001). A perception-based model for EDI adoption in small businesses using a technology–organization–environment framework. Information & Management, 38(8), 507-521. http://doi.org/10.1016/S0378-7206(01)00073-8.

Lee, O.-K., Wang, M. W., Lim, K. H., & Peng, Z. J. (2009). Knowledge management systems diffusion in chinese enterprises: a multistage approach using the technology-organization-environment framework. Journal of Global Information Management, 17(1), 70-84. http://doi.org/10.4018/jgim.2009010104.

Lerman, L. V., Benitez, G. B., & Frank, A. G. (2023). Chapter 9 - Smart green supply chain management: a configurational approach for reaching sustainable performance goals and decreasing COVID-19 impact. In C. M. Hussain & D. Rossit (Orgs.), Designing smart manufacturing systems (pp. 211-233). Cambridge: Academic Press. http://doi.org/10.1016/B978-0-32-399208-4.00017-9.

Lerman, L. V., Benitez, G. B., Müller, J. M., de Sousa, P. R., & Frank, A. G. (2022). Smart green supply chain management: a configurational approach to enhance green performance through digital transformation. Supply Chain Management, 27(7), 147-176. http://doi.org/10.1108/SCM-02-2022-0059.

Marquet-Pondeville, S., Swaen, V., & De Ronge, Y. (2007). The impact of external environment, stakeholders’ pressures and environmental strategy on environmental management control systems. Association Francophone de Comptabilité. Retrieved in 2023, October 2023, from https://www.researchgate.net/profile/Valerie-Swaen/publication/238674712_The_impact_of_external_environment_stakeholders'_pressures_and_environmental_strategy_on_environmental_management_control_systems/links/544a1d9f0cf2f6388084f294/The-impact-of-external-environment-stakeholders-pressures-and-environmental-strategy-on-environmental-management-control-systems.pdf

Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2018). A critical review of smart manufacturing & Industry 4.0 maturity models: Implications for small and medium-sized enterprises (SMEs). Journal of Manufacturing Systems, 49, 194-214. http://doi.org/10.1016/j.jmsy.2018.10.005.

Moeuf, A., Pellerin, R., Lamouri, S., Tamayo-Giraldo, S., & Barbaray, R. (2018). The industrial management of SMEs in the era of Industry 4.0. International Journal of Production Research, 56(3), 1118-1136. http://doi.org/10.1080/00207543.2017.1372647.

Mullins, R., Menguc, B., & Panagopoulos, N. G. (2020). Antecedents and performance outcomes of value-based selling in sales teams: A multilevel, systems theory of motivation perspective. Journal of the Academy of Marketing Science, 48(6), 1053-1074. http://doi.org/10.1007/s11747-019-00705-2.

Nam, D., Lee, J., & Lee, H. (2019). Business analytics adoption process: An innovation diffusion perspective. International Journal of Information Management, 49, 411-423. http://doi.org/10.1016/j.ijinfomgt.2019.07.017.

Nielsen, J., & Loranger, H. (2006). Prioritizing web usability. Pearson Education. Retrieved in 2023, October 2023, from https://books.google.com.br/books?hl=pt-BR&lr=&id=YQsje6Ecl4UC&oi=fnd&pg=PT26&dq=NIELSEN+and+LORANGER,+2006&ots=nYUGIJQvIX&sig=OmDekl2qHdmlJMGW6x3u36BgRSQ

Oppong, S. H. (2013). The problem of sampling in qualitative research. Asian Journal of Management Sciences and Education, 2(2), 1-9.

Pereira, A. C., & Romero, F. (2017). A review of the meanings and the implications of the Industry 4.0 concept. Procedia Manufacturing, 13, 1206-1214. http://doi.org/10.1016/j.promfg.2017.09.032.

Rogers, E. M. (2010). Diffusion of innovations. Simon and Schuster. Retrieved in 2023, October 2023, from https://books.google.com.br/books?hl=pt-BR&lr=&id=v1ii4QsB7jIC&oi=fnd&pg=PR15&dq=Diffusion+of+innovations,+5th+ed.+Free+Press.+https://doi.org/10.4324/9780203710753-35+++&ots=DM-vxORucU&sig=VR_8dI-MyZai4dWHcDDZOc6Jwbg

Safar, L., Sopko, J., Bednar, S., & Poklemba, R. (2018). Concept of SME business model for industry 4.0 environment. Tem Journal, 7(3), 626.

Scatolin, H. G. (2015). A gestão do conhecimento nas organizações: O legado de Nonaka e Takeuchi. Perspectivas em Gestão & Conhecimento, 5(2), 4-13.

Schuh, G., Anderl, R., Dumitrescu, R., Krüger, A., & ten Hompel, M. (2020). Using the industrie 4.0 maturity index in industry. Current challenges, case studies and trends. Acatech Cooperation. Retrieved in 2023, October 2023, from https://www.acatech.de/wp-content/uploads/2020/04/aca_KOOP_MatInd_en_Web.pdf

Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing industry 4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, 52, 161-166. http://doi.org/10.1016/j.procir.2016.07.040.

Stentoft, J., Adsbøll Wickstrøm, K., Philipsen, K., & Haug, A. (2021). Drivers and barriers for Industry 4.0 readiness and practice: empirical evidence from small and medium-sized manufacturers. Production Planning and Control, 32(10), 811-828. http://doi.org/10.1080/09537287.2020.1768318.

Tabim, V. M., Ayala, N. F., & Frank, A. G. (2021). Implementing vertical integration in the Industry 4.0 Journey: which factors influence the process of information systems adoption? Information Systems Frontiers, 1-18. http://doi.org/10.1007/s10796-021-10220-x. PMid:34776762.

Tornatzky, L. G., Fleischer, M., & Chakrabarti, A. K. (1990). The processes of technological innovation. Retrieved in 2023, October 2023, from https://cir.nii.ac.jp/crid/1130000796720150784

Wackerle-Hollman, A., Spencer, T. D., Artman-Meeker, K., Spencer Kelley, E., Durán, L., & Foster, M. E. (2021). Multi-tiered system of supports in early childhood: Identifying gaps, considerations for application, and solutions. Early Childhood Research Quarterly, 56, 201-212. http://doi.org/10.1016/j.ecresq.2021.03.010.

Wu, L., & Chuang, C.-H. (2009). Analyzing contextual antecedents for the stage-based diffusion of electronic supply chain management. Electronic Commerce Research and Applications, 8(6), 302-314. http://doi.org/10.1016/j.elerap.2009.04.013.

Zhu, K., Dong, S., Xu, S. X., & Kraemer, K. L. (2006). Innovation diffusion in global contexts: determinants of post-adoption digital transformation of European companies. European Journal of Information Systems, 15(6), 601-616. http://doi.org/10.1057/palgrave.ejis.3000650.

Ziaei Nafchi, M., & Mohelská, H. (2020). Organizational culture as an indication of readiness to implement Industry 4.0. Information (Basel), 11(3), 174. http://doi.org/10.3390/info11030174.
 


Submitted date:
10/20/2023

Accepted date:
04/22/2024

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