Design Methodology and Tools in Factory of the Future

Adrian Florea (), Ion Mironescu (), Daniel Crăciunean (), Daniel Morariu () and Daniel Volovici ()
Additional contact information
Adrian Florea: Lucian Blaga University of Sibiu, Department of Computer Science, Electrical and Electronical Engineering, DigiFoF Project Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA, https://digifof.eu/
Ion Mironescu: Lucian Blaga University of Sibiu, Department of Computer Science, Electrical and Electronical Engineering, DigiFoF Project Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA, https://digifof.eu/
Daniel Crăciunean: Lucian Blaga University of Sibiu, Department of Computer Science, Electrical and Electronical Engineering, DigiFoF Project Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA, https://digifof.eu/
Daniel Morariu: Lucian Blaga University of Sibiu, Department of Computer Science, Electrical and Electronical Engineering, DigiFoF Project Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA, https://digifof.eu/
Daniel Volovici: Lucian Blaga University of Sibiu, Department of Computer Science, Electrical and Electronical Engineering, DigiFoF Project Nr. 601089-EPP-1-2018-1-RO-EPPKA2-KA, https://digifof.eu/

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences, 2021, vol. 11, issue 1, 3-37

Abstract: This paper presents a design method and tool developed to support the skill forming activities in the DigiFoF network (https://www.digifof.eu/). The focus is on training of manufacturing system design skills both as HEI education and vocational training, but preliminary design of new manufacturing systems is also supported (e.g in the development of small business process scenarios). We proposed a model-based methodology for solving of the manufacturing system design problems The methodology and the supporting tool are centred around a less abstract Domain-Specific Modelling Language (DSML). The language is easy to learn due to its few components. A modelling and simulation environment named Digital Production Planner Tool (DPPT) was generated from the metamodel of the DSML. The degree of abstraction used by this tool corresponds well to the intended use in training and preliminary design. Our method incorporates by design the possibility to impose constraints at the modelling language level to limit the modelling space to feasible/possible solutions. The resulting tool enforces these constraints in the use and supports the development of feasible designs even by inexperienced designers. The access to the conceptual model allows the translation of the model to other modelling language like Petri net. This extends the support for the design methodology. The whitepaper presents a use case for the developed method and tool: the design of a chocolate manufacturing line.

Keywords: ADOxx modelling; Factory of the Future; Internet of Things (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.2478/ijasitels-2021-0001 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:vrs:ijsiel:v:11:y:2021:i:1:p:3-37:n:6

DOI: 10.2478/ijasitels-2021-0001

Access Statistics for this article

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences is currently edited by Daniel Volovici

More articles in International Journal of Advanced Statistics and IT&C for Economics and Life Sciences from Sciendo
Bibliographic data for series maintained by Peter Golla ().