Product lifecycle management and digital manufacturing technologies in the era of cloud computing

Author(s):  
Conor Holligan ◽  
Vincent Hargaden ◽  
Nikolaos Papakostas
Author(s):  
Norman Gwangwava

Product lifecycle management (PLM) is concerned with managing all the processes of product transition from cradle to the grave. Phases of a product life are inception, engineering design, manufacture, service, and disposal. A product passes through different systems, organisations, and users as it completes the life cycle. Global markets of today have increased the complex nature of a product path. All the life cycle phases rely upon product data for efficient management. In order to ease the strain of managing products throughout the lifecycle, a common product data schema is needed. Currently many platforms for product design use different proprietary schemas that make it difficult to have smooth lifecycle management. The chapter illustrates applications of an open source, XML-based schema for product lifecycle management. The main focus is on the inclusion of the Cloud in order to have new generation cloud product life cycle management (CPLM). The main driver of CPLM is cloud-model-based systems engineering (CMBSE). Within the framework of CMBSE are cloud-based design (CBD), cloud manufacturing (CM), and cloud-based maintenance (CBM). The three subsystems of CMBSE can be combined to form a single term, cloud-based design, manufacturing, and maintenance (CBDMM). Cloud computing, manufacturing, and maintenance are not new concepts, but many enterprises have not yet embraced them because of lack of complete seamless integration across various levels and processes in the product life. Many systems are still being run in silos of automation. CPLM is a service-oriented (SOA) model comprised of a pool of technologies such as cloud computing (CC), IoT, virtualization, and service-oriented technologies to support collaboration, sharing, and management across PLM phases.


2010 ◽  
Vol 37-38 ◽  
pp. 112-115
Author(s):  
Jiang Cui ◽  
Xiao Bing Xu

The paper presents Production-in-product lifecycle management as a new approach to integrate functions and its operation and optimization towards its rebuilding or deconstruction and the restart of the arising cycle. Essential elements of Production-in-product lifecycle management are the suitable consideration of models used by digital tools for the presentation, analysis design iptimisatiom and control of production systems as well as the linkage of these models to the ‘real world’. Production-in-product lifecycle management to forms and essential element of a Digital Manufacturing approach that enhances competitiveness of industrial enterprises by the reduction of times and costs for product creation and order fulfillment. Thereby Digital Manufacturing may serve as one building block for a comprehensive Digital Enterprise.


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.


2007 ◽  
Vol 561-565 ◽  
pp. 2253-2256 ◽  
Author(s):  
You Tang Li ◽  
Ping Ma ◽  
Jun Tian Zhao

Product lifecycle management is one of the main developmental aspects of advanced manufacturing technology. Anti-fatigue design is the key content in product lifecycle management. For designing the fatigue life of shaft exactly and determining the assessment method, the influencing factors must be realized roundly. The mechanical model of shaft is set up at first, and then the main factors that affect the fatigue life of shaft is discussed, the interrelations of the main factors and the framework are founded. The assessment equation of fatigue life for shaft is put forward and the influencing coefficient of multi-axial stress to fatigue life is analyzed. The results of this paper will establish the base of anti-fatigue and assessment life of shaft.


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