Manufacturing collective intelligence by the means of Decisional DNA and virtual engineering objects, process and factory

Issue title: Collective intelligent information and database systems

Guest editors: Ngoc-Thanh Nguyen, Manuel Núñez and Bogdan Trawiński

Article type: Research Article

Authors: Sanin, Cesar^{a; *} | Shafiq, Imran^a | Waris, Mohammad Maqbool^a | Toro, Carlos^b | Szczerbicki, Edward^c

Affiliations: [a] School of Engineering, The University of Newcastle, Callaghan, NSW, Australia | [b] Vicomtech, Donostia/San Sebastian, Spain | [c] Faculty of Management and Economics, The Technical University of Gdansk, Gdansk, Poland

Correspondence: [*] Corresponding author. Cesar Sanin, School of Engineering, The University of Newcastle, University Drive, Callaghan 2308, NSW. Tel.: +61 2 49217465; Fax: +61 2 49217468; E-mail: [email protected].

Abstract: Engineering collective intelligence is paramount in current industrial times. This research proposes and presents case studies for collective knowledge structures required in the industry field. Knowledge structures such as Set of Experience and Decisional DNA are extended into more advanced knowledge structures for manufacturing processes. These structures are called Virtual Engineering Object, Virtual Engineering Process and Virtual Engineering Factory. All knowledge structures are implemented and tested in two industrial manufacturing cases of collective knowledge, plus one more case of manufacturing innovation where the case study results proved them as practical standards for engineering collective intelligence.

Keywords: Decisional DNA, set of experience knowledge structure, virtual engineering object, virtual engineering process, virtual engineering factory

DOI: 10.3233/JIFS-169152

Journal: Journal of Intelligent & Fuzzy Systems, vol. 32, no. 2, pp. 1585-1599, 2017