Federated Product Models for Enabling Simulation-Based Product Lifecycle Management

Author(s):  
Manas Bajaj ◽  
Christian J. J. Paredis ◽  
Tarun Rathnam ◽  
Russell Peak

Across product lifecycle processes, engineers continually analyze product behavior and refine product specifications. Owing to the collaborative and multi-disciplinary nature of product realization, engineers work on subsets of a product’s specification, also known as a product view, and use their expertise to analyze domain-specific (e.g., electrical, structural, thermal) product behavior. In this paper, we present the notion of a product view federation that embodies engineering processes related to the creation, enrichment and reuse of a particular product view. We make the first step towards answering the following question — Can one formalize the process of creating a product view federation from component federates to enable knowledge reuse? We describe and exemplify one particular graph-based inference approach for creating the product view federation.

2012 ◽  
Vol 151 ◽  
pp. 707-710
Author(s):  
Lei Cao ◽  
Hui Jun Deng ◽  
Yi Xu

Product lifecycle management (PLM) is a valuable concept for the implementation of advanced manufacturing method. Based on the principle of PLM, the involved manufacturing sessions were integrated, and scientifically managed in order to improve the cooperation and innovation ability of a modern enterprise. The knowledge resource allocation service is one of key technologies for the successfully implementation of product lifecycle management. Aim at the knowledge resource allocation service, an product lifecycle oriented domain specific model (p-DSM) was proposed in the paper, which will help to guide the knowledge resource modeling and resource allocation, and provide a system framework for knowledge based enterprise management system.


Author(s):  
João Carlos Amaro Ferreira

This chapter defines a system and a methodology, the Knowledge Collaborative Product Lifecycle Management (KC-PLM) to better support the complete product lifecycle in the industry. The KC-PLM system intends to reduce the lead-time from new product development to production by providing and integrating knowledge platform, based on a semantic information repository, domain ontology, a domain specific language and on the user collaboration. These characteristics differentiate the KC-PLM system from others PLM systems, because it supports an intelligent rules engine, to extrapolate and make inference with historical solutions that allow the generation of new solutions. A real case study in automobile business shows the current proposal application and its benefits in a product concept phase.


Computers ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 84
Author(s):  
Andreas Deuter ◽  
Sebastian Imort

Product lifecycle management (PLM) as a holistic process encompasses the idea generation for a product, its conception, and its production, as well as its operating phase. Numerous tools and data models are used throughout this process. In recent years, industry and academia have developed integration concepts to realize efficient PLM across all domains and phases. However, the solutions available in practice need specific interfaces and tend to be vendor dependent. The Asset Administration Shell (AAS) aims to be a standardized digital representation of an asset (e.g., a product). In accordance with its objective, it has the potential to integrate all data generated during the PLM process into one data model and to provide a universally valid interface for all PLM phases. However, to date, there is no holistic concept that demonstrates this potential. The goal of this research work is to develop and validate such an AAS-based concept. This article demonstrates the application of the AAS in an order-controlled production process, including the semi-automatic generation of PLM-related AAS data. Furthermore, it discusses the potential of the AAS as a standard interface providing a smooth data integration throughout the PLM process.


2021 ◽  
Vol 11 (13) ◽  
pp. 5975
Author(s):  
Ana María Camacho ◽  
Eva María Rubio

The Special Issue of the Manufacturing Engineering Society 2020 (SIMES-2020) has been launched as a joint issue of the journals “Materials” and “Applied Sciences”. The 14 contributions published in this Special Issue of Applied Sciences present cutting-edge advances in the field of Manufacturing Engineering focusing on advances and innovations in manufacturing processes; additive manufacturing and 3D printing; manufacturing of new materials; Product Lifecycle Management (PLM) technologies; robotics, mechatronics and manufacturing automation; Industry 4.0; design, modeling and simulation in manufacturing engineering; manufacturing engineering and society; and production planning. Among them, the topic “Manufacturing engineering and society” collected the highest number of contributions (representing 22%), followed by the topics “Product Lifecycle Management (PLM) technologies”, “Industry 4.0”, and “Design, modeling and simulation in manufacturing engineering” (each at 14%). The rest of the topics represent the remaining 35% of the contributions.


Author(s):  
Shinichi Fukushige ◽  
Yuki Matsuyama ◽  
Eisuke Kunii ◽  
Yasushi Umeda

Within the framework of sustainability in manufacturing industry, product lifecycle design is a key approach for constructing resource circulation systems of industrial products that drastically reduce environmental loads, resource consumption and waste generation. In such design, designers should consider both a product and its lifecycle from a holistic viewpoint, because the product’s structure, geometry, and other attributes are closely coupled with the characteristics of the lifecycle. Although product lifecycle management (PLM) systems integrate product data during its lifecycle into one data architecture, they do not focus on support for lifecycle design process. In other words, PLM does not provide explicit models for designing product lifecycles. This paper proposes an integrated model of a product and its lifecycle and a method for managing consistency between the two. For the consistency management, three levels of consistency (i.e., topological, geometric, and semantic) are defined. Based on this management scheme, the product lifecycle model allows designers to evaluate environmental, economic, and other performance of the designed lifecycle using lifecycle simulation.


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