Paradigm Translation in Manufacturing Information Using a Meta-Model: The TSER Approach (original) (raw)
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Paradigm translations in integrating manufacturing information using a meta-model: The TSER approach
1993
variés, utilisant divers paradigmes (par exemple entité-relation, relationel et objet). Afin de faciliter cette tâche potentiellement accablante, un meta-modèle servant de schéma conceptuel à l'intégration autant lors du développement que lors de l'exécution est nécessaire. Le présent article présente une structure spécifique de ce concept et discute du potentiel du modèle TSER (Two-Stage Entity-Relationship) en tant que meta-modèle pour les méthodes orientés-objet, le modèle relationel et les modèles entité-relation. Les connections au modèle PDES/EXPRESSsont inclues. ABSTRACT. Manufacturing information integration requires translations among various functional systems' information models which are based on different paradigms (e.g., Entity-Relationship, Relational, and Object). In order to facilitate this potentially overwhelming task, a meta-model is needed to serve as the conceptual schema for models integration at both development phase and run-time. This paper presents a particular framework for the concept and discusses the promises of the TSER (Two-Stage Entity-Relationship) model as a meta-model for Object-Oriented Methods, the Relational model, and Entity-Relationship models. The connections to the PDES/EXPRESS model are included.
Ontology-Based Process Modelling for Design
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The design process for large systems, e.g., industrial plants, involves large multidisciplinary teams. Since each discipline has its own specialised concerns, the common thread is describing the functional requirements of an artefact. In the oil and gas industry, Engineering, Procurement & Construction (EPC) companies are responsible for designing industrial plants whose later use requires exchange of information which is often based on different formats and leads to huge costs due to interoperability overhead. One contender in this space is the ISO15926 standard used for industrial design data interchange. We examine several challenges the standard poses for the conceptual and detailed design phases, and provide an alternative framework grounded on a firm ontological foundation incorporating advanced modelling concepts such as multi-level models and roles that provide a basis for the effective development of meta-model mappings, a novel approach for organisations needing to map to ISO15926.
IFIP Advances in Information and Communication Technology, 2016
The semantic interoperability of information has become increasingly important in Product Development Process (PDP) to support different phases during the product development. This article presents a proposal of an Interoperable Product Design and Manufacturing System (IPDMS) concept based on a set of engineering domain ontologies and sematic mapping approaches. The concept explores the potentials of semantic well-defined core-foundations in a Semantic Web ontology language. The formal core-foundations can be specialised to perform application view in Product or Manufacturing Model. The application view is used to support the information sharing between product design and manufacturing and verify the accordance with product requirements. A preliminary experimental has been realised, using a test case to share information from the design to manufacturing of an injection moulding plastic. As results, it was identified potential benefits and limitations. The mains contributions are: semantic interoperability during information sharing in PDP and analysis of inconsistencies in PDP.
International Journal of Production Research, 2011
Problems related to knowledge sharing in design and manufacture, for supporting automated decision-making procedures, are associated with the inability to communicate the full meaning of concepts and their intent within and across system boundaries. To remedy these issues, it is important that the explicit structuring of semantics, i.e. meaning in computation form, is first performed and that these semantics become sharable across systems. This paper proposes a Common Logic-based ontological foundation as a basis for capturing the meaning of core feature-oriented design and manufacture concepts. This foundation serves as a semantic ground over which design and manufacture knowledge models can be configured in an integrity-driven way. The implications involved in the specification of the ontological foundation are discussed alongside the types of mechanisms that allow knowledge models to be configured. A test case scenario is then analysed in order to further support and verify the researched approach.
Product-Process-System Information Formalization
This chapter introduces a conceptual framework for the integrated modeling of product, process and production system data. The work focuses on the Manufacturing System Design problem and aims at providing a common data structure as a reference for different methodologies and tools in this domain. The framework is flexible, extendible, scalable and has been developed as an object-oriented model by means of UML (Unified Modeling Language). Moreover, the proposed data model can have a wider applicability since it is based on shared standards and previous general frameworks. The concept of evolution has been introduced into the model, since it is essential to include market uncertainty in the design of competitive production systems. Finally, the developed framework has been translated into a relational database which can be interfaced with all the main phases of the system design approach presented in this book.
Using Linked Data with Information Standards for Interoperability in Production Engineering
Design and verification of factory layout and material flow is a multidisciplinary, knowledge-intensive task which requires a collaborative framework where all specialists involved can communicate, interact, manage and visualize different models. However, the communication of digital models comes with challenges. The information resides in various systems and applications, in different formats and with various levels of detail and viewpoints. This makes the communication and sharing of information among different actors and application, challenging. To deal with the data exchange and integration problem, the information standards ISO 10303 (STEP) has shown a strong capability to represent rich information models in a wide variety of industrial domains for the purpose of exchanging data. On the other hand, the Open Services for Lifecycle Collaboration (OSLC) initiative provides a minimalistic set of standardized information models, focusing on the most common concepts within a partic...
A PRODUCT MODEL BASED ARCHITECTURE FOR ENGINEERING APPLICATIONS SOFTWARE
2000
Some progress has been made in the establishment of agreed product models as the basis of a more open information-centric approach to engineering processes, both in the construction sector and beyond. Specific construction related initiatives, such as the CIS, the IFC and AP225 have been implemented in software and are now beginning to impact on industry. In common with other engineering sectors, these standards have drawn heavily on ISO 10303 (STEP), particularly the EXPRESS data definition language.
Robotics and Computer-Integrated Manufacturing, 1998
In an iterative design process, there is a large amount of engineering data to be processed. Well-managed engineering data can ensure the competitiveness of companies in the competitive market. It has been recognized that a product data model is the basis for establishing engineering database. To fully support the complete product data representation in its life cycle, an international product data representation and exchange standard, STEP, is applied to model the representation of a product. In this paper, the architecture of an engineering data management (EDM) system is described, which consists of an integrated product database. There are six STEP-compatible data models constructed to demonstrate the integratibility of EDM system using common data modeling format. These data models are product definition, product structure, shape representation, engineering change, approval, and production scheduling. These data models are defined according to the integrated resources of STEP/ISO 10303 (Parts 41-44), which support a complete product information representation and a standard data format. Thus, application systems, such as CAD/CAM and MRP systems, can interact with the EDM system by accessing the database based on the STEP data exchange standard.
A model-driven ontology approach for manufacturing system interoperability and knowledge sharing
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The requirements for the interoperability of semantics and knowledge have become increasingly important in Product Lifecycle Management (PLM), in the drive towards knowledgedriven decision support in the manufacturing industry. This article presents a novel concept, based on the Model Driven Architecture (MDA). The concept has been implemented under the Interoperable Manufacturing Knowledge Systems (IMKS) project in order to understand the extent to which manufacturing system interoperability can be supported using radically new methods of knowledge sharing. The concept exploits the capabilities of semantically well-defined core concepts formalised in a Common Logic-based ontology language. The core semantics can be specialised to configure multiple application-specific knowledge bases, as well as product and manufacturing information platforms. Furthermore, the utilisation of the expressive ontology language and the generic nature of core concepts help support the specification of system mechanisms to enable the verification of knowledge across multiple platforms. An experimental demonstration, using a test case based on the design and manufacture of an aerospace part, has been realised. This has led to the identification of several benefits of the approach, its current limitations as well as areas to be considered for further work.
Using ontology-based reference models in digital production engineering integration
Proceedings of the 16th IFAC World Congress, 2005, 2005
In the digital planning process of a manufacturing plant several partners like OEM, prime contractor and further service providers are participated usually. Since the partners have partially overlapping views (electricity, mechanical structure, plant controlling) on the same plant to be produced, they have to exchange data during their collaboration. However the syntactical, structural and even semantical differences of output and expected data of partners makes a data integration necessary. Whilst dealing with syntactical and structural differences is rather easy, overcoming semantical differences has several obstacles. In this paper we introduce our ontology based reference model approach to solve this problem.