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Development of a Smart Manufacturing Execution System Architecture for SMEs: A Czech Case Study

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  • Marcel Rolf Pfeifer

    (Department of Management, Faculty of Business and Management, Brno University of Technology, 612 00 Brno, Czech Republic)

Abstract

This study investigates the application of a smart manufacturing execution system (SMES) based on the current controlling structure in a medium-sized company in the Czech Republic. Based on existing approaches on the architecture of SMESs, this paper develops a sample architecture grounded in the current controlling structure of small and medium-sized enterprises (SMEs). While only a few papers on approaches to the given topic exist, this approach makes use of operative production controlling data and uses a standardisation module to provide standardised data. The sample architecture was validated with a case study on a Czech SME. This case study was conducted on two different entities of one production company suggesting differences in the entities due to the nature of production. The research showed that simple tasks with intelligent welding equipment allow for a working SMES architecture, while complex assembly works with a high extent of human labour, and a high number of components still remain an obstacle. This research contributes to gathering more understanding of SMES architectures in SMEs by making use of a standardisation module.

Suggested Citation

  • Marcel Rolf Pfeifer, 2021. "Development of a Smart Manufacturing Execution System Architecture for SMEs: A Czech Case Study," Sustainability, MDPI, vol. 13(18), pages 1-23, September.
  • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10181-:d:633795
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    References listed on IDEAS

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    1. Olumide Emmanuel Oluyisola & Fabio Sgarbossa & Jan Ola Strandhagen, 2020. "Smart Production Planning and Control: Concept, Use-Cases and Sustainability Implications," Sustainability, MDPI, vol. 12(9), pages 1-29, May.
    2. Eva Maria Falkner & Martin R.W. Hiebl, 2015. "Risk management in SMEs: a systematic review of available evidence," Journal of Risk Finance, Emerald Group Publishing, vol. 16(2), pages 122-144, March.
    3. Marwin H. S. Segler & Mike Preuss & Mark P. Waller, 2018. "Planning chemical syntheses with deep neural networks and symbolic AI," Nature, Nature, vol. 555(7698), pages 604-610, March.
    4. Margareta Heidt & Jin P. Gerlach & Peter Buxmann, 2019. "Investigating the Security Divide between SME and Large Companies: How SME Characteristics Influence Organizational IT Security Investments," Information Systems Frontiers, Springer, vol. 21(6), pages 1285-1305, December.
    5. Julian Schrittwieser & Ioannis Antonoglou & Thomas Hubert & Karen Simonyan & Laurent Sifre & Simon Schmitt & Arthur Guez & Edward Lockhart & Demis Hassabis & Thore Graepel & Timothy Lillicrap & David , 2020. "Mastering Atari, Go, chess and shogi by planning with a learned model," Nature, Nature, vol. 588(7839), pages 604-609, December.
    6. Jain, A. S. & Meeran, S., 1999. "Deterministic job-shop scheduling: Past, present and future," European Journal of Operational Research, Elsevier, vol. 113(2), pages 390-434, March.
    7. Luminita Popescu & Anica Iancu & Marioara Avram & Daniel Avram & Virgil Popescu, 2020. "The Role of Managerial Skills in the Sustainable Development of SMEs in Mehedinti County, Romania," Sustainability, MDPI, vol. 12(3), pages 1-16, February.
    8. Heidt, Margareta & Gerlach, Jin & Buxmann, Peter, 2019. "Investigating the Security Divide between SME and Large Companies: How SME Characteristics Influence Organizational IT Security Investments," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 118284, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    9. Alan Coetzer & Chutarat Inma & Paul Poisat & Janice Redmond & Craig Standing, 2019. "Does job embeddedness predict turnover intentions in SMEs?," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 68(2), pages 340-361, January.
    10. Doh, Soogwan & Kim, Byungkyu, 2014. "Government support for SME innovations in the regional industries: The case of government financial support program in South Korea," Research Policy, Elsevier, vol. 43(9), pages 1557-1569.
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    2. Marek Ondov & Andrea Rosova & Marian Sofranko & Jan Feher & Jozef Cambal & Erika Feckova Skrabulakova, 2022. "Redesigning the Production Process Using Simulation for Sustainable Development of the Enterprise," Sustainability, MDPI, vol. 14(3), pages 1-21, January.

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