Towards Ontology-Aided Manufacturing and Supply Chain Management – A Literature Review

Strzelczak, Stanisław

doi:10.1007/978-3-319-22759-7_54

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…To enable the proper empirical information can be extracted for sharing to instruct relevant tasks, the semantic mating method also has to be developed except the representation and integration of information. In general, the procedure of ontology mating guided on similarities of titles and contents of notion and its relations [37,[56][57]. The contents of notion are represented as properties of notion.…”

Section: Approach Of Similarity Matingmentioning

confidence: 99%

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

Liang

2023

J. Adv. Manuf. Syst.

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In collaborative manufacturing environment, the knowledge integration in collaborative process is very crucial, especially the heterogeneous information distributed among various cooperative suppliers. To tackle the optimization of knowledge consolidation in co-manufacturing, a knowledge integration with ontological framework is proposed in this study. First, by representing the collaborative business activities for cooperative suppliers, an architecture of knowledge integration with ontological schema is generated. The ontological model of knowledge concepts is explored in terms of the analysis of the ontological structure of knowledge. Aiming at the concept, an approach of ontology integration on the basis of ontological similarity is promoted. There are two portions included in this approach, mapping and combination, which are implemented through the analysis of similarity in two ontologies namely universal and regional. To integrate the two ontologies, the relations and restrictions among fields are definitely depicted by the Semantic Web Rule Language. Eventually, the presented framework is illustrated through a case study, and the outcomes satisfy the needs of knowledge combination to assure that the effectiveness of the presented method is confirmed.

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Section: Approach Of Similarity Matingmentioning

confidence: 99%

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

Liang

2023

J. Adv. Manuf. Syst.

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“…Formal engineering ontologies are emerging as popular solutions for addressing the semantic interoperability issue in heterogeneous distributed environments and for bridging the gap between the legacy systems and organizational boundaries Borgo and Leitão 2007;Strzelczak 2015). One of the most quoted definitions of ontology in the literature and in the ontology community is Gruber's (1993) "Ontology is a formal, explicit specification of a shared conceptualization".…”

Section: Introductionmentioning

confidence: 99%

The development of an ontology for describing the capabilities of manufacturing resources

et al. 2018

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Today's highly volatile production environments call for adaptive and rapidly responding production systems that can adjust to the required changes in processing functions, production capacity and dispatching of orders. There is a desire to support such system adaptation and reconfiguration with computer-aided decision support systems. In order to bring automation to reconfiguration decision making in a multi-vendor resource environment, a common formal resource model, representing the functionalities and constraints of the resources, is required. This paper presents the systematic development process of an OWL-based manufacturing resource capability ontology (MaRCO), which has been developed to describe the capabilities of manufacturing resources. As opposed to other existing resource description models, MaRCO supports the representation and automatic inference of combined capabilities from the representation of the simple capabilities of co-operating resources. Resource vendors may utilize MaRCO to describe the functionality of their offerings in a comparable manner, while the system integrators and end users may use these descriptions for the fast identification of candidate resources and resource combinations for a specific production need. This article presents the step-by-step development process of the ontology by following the five phases of the ontology engineering methodology: feasibility study, kickoff, refinement, evaluation, and usage and evolution. Furthermore, it provides details of the model's content and structure.

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“…The aim of bringing automation to the system design, re-configuration, and order dispatching requires a formal, structured representation of the product requirements as well as resource's capabilities, properties, and interfaces. For the past two decades, there has been an increasing interest in manufacturing domain on using emerging technologies such as ontologies, semantics and semantic web, to support the collaboration, interoperability and adaptation needs [8][9][10][11]. The detailed formal interface descriptions have been out of the scope of these works.…”

Section: Introductionmentioning

confidence: 99%

Creating Resource Combinations Based on Formally Described Hardware Interfaces

Siltala

Järvenpää

Lanz

2018

Precision Assembly in the Digital Age

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This paper introduces the Resource Interface ontology intended to formally capture hardware interface information of production resources. It also proposes an interface matchmaking method, which uses this information to judge if two resources can be physically connected with each other. The matchmaking method works on two levels of detail, coarse and fine. The proposed Resource Interface ontology and matchmaking method can be utilised during production system design or reconfiguration by system integrators or end users. They will benefit from fast and automatic resource searches over large resource catalogues. In the end of the paper, a validation of the method is provided with a test ontology.

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Towards Ontology-Aided Manufacturing and Supply Chain Management – A Literature Review

Cited by 6 publications

References 14 publications

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

Study on Ontological Knowledge Integration of Micromachining for Collaborative Process

The development of an ontology for describing the capabilities of manufacturing resources

Creating Resource Combinations Based on Formally Described Hardware Interfaces

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