This document presents a methodology for the data-driven management of production processes from inception to operation, which allows to document their lifecycle and gain knowledge through its application. It provides a description of the methodological approach along with the introduction to its primary objectives.
The objectives of this methodology encompass traceability, involving:
- Structured documentation of data related to observed parameters, materials, and the physical infrastructure equipment used in processes.
- Data acquisition, which facilitates collection of measured data.
- Data analysis, with interfaces designed for extracting insights through charts or dashboards.
- Simulation capabilities, enabling the execution of models to anticipate outcomes before production initiation.
The methodology is preferably to be integrated into an information system that offers the aforementioned capabilities. It also serves as a communication tool, fostering collaboration between stakeholders, such as producers and customers. However, this document does not impose any specific technological framework for this system.
NOTE This methodology does not constitute a use case for digital twin adoption, although their abilities may align with the capabilities of a digital twin.
This document is intended to be used by industries characterized by the presence of production processes or engineering consultancies working with them. For instance: manufacturing of materials or products, water and waste treatment and valorisation of subproducts, etc.
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