Operational framework based on modeling languages to support product repository implementation.

Part 3: Tools and MethodologiesInternational audienceEmbracing Product Lifecycle Management approach involves integrating a product repository in the company information system. From customer's needs to disposal stage, several product representations exist. The product repository purpose is to secure consistency of one product representation with the others. This paper presents an operational modeling framework that supports product repository implementation. In order to ensure consistency, this framework identifies correspondences between entities of languages (“trade” languages and standard languages). The presented concepts are illustrated with correspondences between language entities of product designed and productplanned to be built Bills of Materials

Conceptual Framework for a Data Model to Support Asset Management Decision-Making Process

Part 4: Product and Asset Life Cycle Management in Smart Factories of Industry 4.0International audienceInformation and data management is nowadays a central issue to support the Asset Management (AM) decision-making process. Manufacturing companies have to take different decisions along the asset lifecycle and at different organisational levels, and, to this end, they require proper information and data management. In the literature, besides the crucial role played by information and data, there is evidence of existing gaps, especially related to information management and integration, and transformation of data into useful information. Thus, a conceptual framework is proposed to guide the definition of a data model to fulfil the previously identified gap. Generally, the framework aims at contributing to the improvement of the integration of information along the AM decision-making process. Specifically, it is intended to be aligned with the AM theory and, in particular, its fundamentals defined in the scientific literature and the ISO 5500x body of standards. Overall, thanks to the improvement of the information management and integration along with the AM decision-making, the expectation is to be capable of achieving more value-oriented decisions for the asset lifecycle

Towards a Spatiotemporal Ontology-Based on Mereotopological Theory in Assembly-Oriented Design

Part 1: Knowledge Discovery and SharingInternational audienceThis paper presents a novel spatiotemporal ontology based on a mereotopological theory in the context of assembly-oriented design, which integrates assembly sequence planning in the early product design stages. Based on a brief literature review on ontology and existing spatiotemporal ontological models, the authors propose to go beyond by defining their own formal ontology in the domain of assembly-oriented design. The proposed ontology provides formal description of product-process information and information consistency checking through the product lifecycle. Here, the ontology covers the spatial, temporal and spatiotemporal dimensions. The ontology uses OWL language and is implemented in Prot´eg´e. The main objective is to provide a product design description by proactively considering its assembly sequence as early as possible in the product development so as to ensure information and knowledge consistency with preliminary information and later introduce a spatiotemporal reasoning layer

Exploitation of a Semantic Platform to Store and Reuse PLM Knowledge

Products generate a large amount of information during their lifecy-cles. Small and medium enterprises are often not structured enough to enable the efficient management of such amount of information. Several tools of prod-uct lifecycle management have been developed in the last years to address this issue, but they are rarely exploited by companies, especially SMEs. The aim of our work is to present a semantic platform to integrate data along the whole product lifecycle to allow semantic search and knowledge reuse. The integra-tion of data is realized with a reference PLM ontology, containing the main concepts and relations to describe a PLM. This ontology has a modular struc-ture, so that it can be easily extended to describe concrete product lifecycles. An example of a real application of the semantic platform in an industrial case is reported

A Holistic Approach for the Architecture and Design of an Ontology-Based Data Integration Capability in Product Master Data Management

Part 7: Web, Semantics and Ontologies for PLMInternational audienceIn the context of a broadened product lifecycle management environment, a traditional product information management, also referred to as product master data management (P-MDM) needs to be complemented by other MDM domains. Such MDM domains may include Customers, Financials, Suppliers, Human Resources, Events and other domains. To satisfy such a transversal set of requirements requires a true cross-enterprise semantic integration capability. This capability cannot be met by current off-the-shelf technologies. This paper proposes a research approach that would elicit the definition of a reference architecture and a multi-domain ontology, from research and development work performed notably in ontology engineering, in both academic and industry domains

Towards a Data Classification Model for Circular Product Life Cycle Management

Nowadays, due to the limited availability of resources, the adoption of sustainable practices is gaining importance, especially while dealing with the manufacturing sector that is considered one of the most resource greedy sectors. To cope with this issue, a new sustainable and industrial economy, called “circular economy” arisen. The diffusion of this economy can be eased by the advance management of data and information. Nevertheless, from the extant literature emerged some criticalities regarding information management flows while dealing with circular economy strategies adoption. Indeed, the present work aims to first identify the main criticalities in information management while adopting circular economy principles, and second to investigate the decisions, and the related data and information required to make these decisions, that manufacturers have to undertake to enable the circular product life cycle management. To achieve this goal, the present work relies on the scientific literature. This choice enables to grasp the widespread knowledge developed by scholars about these concepts, by individualizing the main decisions that should be taken by the company internal stakeholders, to manage circular products, being affected by external stakeholders’ behaviours and decisions along product life cycle. Therefore, this work aims to support circular product life cycles management and, this objective has been achieved through the development of a data classification model

Ontologies for Manufacturing Process Modeling: A Survey

International audienc