Manufacturing Ontology Development Based on Industry 4.0 Demonstration Production Line

Abstract

The increasing pressures faced by manufacturers, the shortening of innovation cycles and the growing importance of high-efficiency manufacturing demand a higher versatility of factory automation. In order to achieve this target, engineering tasks currently performed manually need to be automated. In this case, ontologies emerge as a significant method for representing manufacturing knowledge in a machine-interpretable way. This knowledge can then be used by automated problem-solving methods to reconfigure the control software that coordinates and supervises manufacturing systems. Besides, Ontology can play a very important role in the process of creating as well as managing the knowledge. This paper addresses the important issues in developing domain-specific ontology for manufacturing used in industry 4.0 demonstration production line. A generic ontology is developed considering all the aspects about product from customized order to resulting production.

Sustainable engineering challenges towards Industry 4.0: A comprehensive review

“…The first thing that should be done when developing ontology for the manufacturing domain is the common concept that is involved in all major portions of knowledge specification. We can obtain all the knowledge by consulting domain experts and referring to relevant knowledge base [53].…”

Enhancing RFID system configuration through semantic modelling

“…The Industry 4.0 ontological landscape, as described by Sampath Kumar et al (2019), consists of: (i) a wide range of ontologies focused on specific industrial domains (e.g., maintenance [Haupert et al, 2014], resource reconfiguration [Wan et al, 2018], cloud robotics [de Freitas et al, 2020]), (ii) ontological frameworks that their goal is to cover the wider domain of smart manufacturing (e.g., the production line [Cheng et al, 2016]) and (iii) a set of core ontologies that their scope is even more generic (e.g., O4I4 Sampath Kumar et al, 2019). The RFID SCO is a domain ontology for the configuration of RFID systems, and hence, it belongs to the first set of ontologies developed for Industry 4.0.…”

Ontologies for Industry 4.0

“…More recently, two ontological frameworks tending to cover the wider domain of smart manufacturing have been proposed. Hence, Cheng et al (2016) provided a model of the production line using a combination of five ontologies, namely, device ontology (with concepts such as Machine), process ontology (with a taxonomy of the different Operations performed by the technical equipment), parameter ontology (with concepts such as Quality of Service), product ontology (with the product information), and the base ontology (integrated the four others and defining the concept Order). On the other hand, Engel et al (2018) proposed a three-layer ontology for batch process plants.…”