A Data Management Approach Based on Product Morphology in Product Lifecycle Management

Abstract

In the product life cycle from conception to retirement, there are three forms: conceptual products, digital products and physical products. The carriers of conceptual products are requirements, functions and abstract structures, and data management focuses on the mapping of requirements, functions, and structures. The carrier of digital products is digital files such as drawings and models, and the focus of data management is the design evolution of product. Physical products are physical entities, and their attributes and states will change over time. Existing data model research often focuses on one or two forms, and it is even impossible to integrate three forms of data into one system. So, a new data management method based on product form is presented. According to the characteristics of the three product form data, a conceptual product data model, a digital product data model, and a physical product data model are established to manage the three forms of data, respectively, and use global object mapping to integrate them into a unified data model. The conceptual product data model has a single data model for a single business stage. The digital product data model uses the core data model as the single data source, and uses one stage rule filter to add constraints to the core data model for each business stage. The physical product data model uses the core data model to manage the public data of the physical phase, and the phase private data model focuses on the private data of each business phase. Finally, a case of Multi-Purpose Container Vessel is studied to verify the feasibility of the method. This paper proposes three product forms of product data management and a unified data management model covering the three product forms, which provides a new method for product life cycle data.

Productization and product structure enabling BIM implementation in construction

“…PS has been described as the most important unit for data exchange among collaborative enterprises (Liang et al. , 2010; Liu et al. , 2021) and the basis for PDM implementation.…”

“…The processes and implementation practices related to BOM significantly affect the integrated operation of systems like CAD, Product Data Management (PDM), PLM and ERP (Shih, 2014). PS has been described as the most important unit for data exchange among collaborative enterprises (Liang et al, 2010;Liu et al, 2021) and the basis for PDM implementation. PDM enriched by a unified PS serves as a central information repository for process and product history and facilitates integration and data sharing among all business users dealing with products (Shih, 2014).…”

A Novel Unified Data Modeling Method for Equipment Lifecycle Integrated Logistics Support

“…Li et al [41] constructed an industrial object metamodel that combined semantic resource modeling with real-time industrial object transmission to enhance the performance of the digital twin. To realize the integrated management of product lifecycle data, Liu et al [42] proposed a unified product data management model based on metamodel technology. To ensure the UML 2.0 model consistency, Ma et al [43] constructed an integrated semantic framework based on the metamodel method.…”