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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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Research Article | Open Access |

Optimization of Production Processes using BPMN and ArchiMate

Author 1: Hana Tomaskova
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 7 · Published 2020 · Cited by 11

DOI: https://doi.org/10.14569/IJACSA.2020.0110707

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Abstract

This article aims to map and optimize production processes through the graphical form using syntax combination of BPMN and ArchiMate. In the first phase, the existing business processes of the manufacturing company in the Czech Republic were analyzed. In the second phase, the optimization of produc-tion processes was subsequently proposed. These optimizations were based on a combination of two ArchiMate and BPMN syntaxes with implementing ERP systems, enabling the design to utilize more efficient modern technology. The as-is-to-be process was documented in BPMN and ArchiMate, and a process-based simulation tool was used to quantify the effects of process improvement.

Keywords

Production processes graphic modelling BPMN ArchiMate

How to Cite this Article

Tomaskova, H. (2020). Optimization of Production Processes using BPMN and ArchiMate. International Journal of Advanced Computer Science and Applications, 11(7). https://doi.org/10.14569/IJACSA.2020.0110707

Tomaskova, Hana. "Optimization of Production Processes using BPMN and ArchiMate." International Journal of Advanced Computer Science and Applications, vol. 11, no. 7, 2020, https://doi.org/10.14569/IJACSA.2020.0110707.

@article{Tomaskova2020,
  title     = {Optimization of Production Processes using BPMN and ArchiMate},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {7},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Hana Tomaskova},
  doi       = {10.14569/IJACSA.2020.0110707},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110707}
}

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