Naslov
Quality Management Model based on Databases and Knowledge

Autori
Srdoč, Alira ; Bratko, Ivan ; Sluga, Alojzij

Izvornik
Strojarstvo (0562-1887) 53 (2011), 2; 137-145

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, pregledni rad, stručni

Ključne riječi
DQC model; knowledge management; knowledge synthesis; machine learning; quality management; ship-repair

Sažetak
In the paper the results of the doctoral research in which a new knowledge-focused approach to quality management called Deep Quality Concept (DQC) is conceptualised, are presented in short. The main features of the new quality management model developed on that approach also are presented. Particular attention is paid to expert knowledge – especially tacit and deep domain knowledge, i.e. on knowledge that is not only decisive for quality, but also for the competitive advantage of an organisation. Given that such knowledge is hard or even impossible to be formalised by traditional methods, computer concepts – including artificial intelligence (AI) concepts, also are included in the model. The DQC model contains both, i.e. (1) the part concerning development of quality standard i.e. quality award criteria based on the developed approach ; and (2) the part concerning implementation of the so obtained standard i.e. award criteria. The main points and potential of the model and approach are validated in the case study by example of delivery time estimate in ship-repair, aimed to get a more transparent assessment and decision structure through the use of machine learning – one of the AI’s best known and efficient knowledge acquisition and representing techniques. The application results showed that the proposed approach can contribute significantly to the more reliable quality, particularly in complex and highly dynamic and stochastic domains. That confirmed that computer and AI concepts need to be considered as an integral part of quality management systems, as it is anticipated in the DQC model.

Izvorni jezik
Engleski

Znanstvena područja
Informacijske i komunikacijske znanosti

POVEZANOST RADA