A literature review — ScienceDirect are threefold: Product lifecycle management, also known as PLM, is an integrated business. National Research Fund for its support and sponsorship; and to the College of.
Try out personalized alert features Call for papers for a special volume of the Journal of Cleaner Production: Sustainable product lifecycle management based on smart enabling technologies Call for papers for a special volume of the Journal of Cleaner Production: Introduction Sustainable production is a more competitive strategy for manufacturing enterprises as its implementation can help manufacturers to achieve overall development plans, reduce resource use and pollution along the whole lifecycle Roy and Singh, As pointed by Kusiaksmart manufacturing can make industry more efficient, profitable and sustainable.
Over the past years, industries together with researchers and policy makers worldwide have increasingly advocated an upcoming fourth industrial revolution. Many countries are developing towards this goal in the coming years. For example, the German government promotes the computerization of manufacturing industries in their Industry 4.
Other major manufacturing countries such as Japan and Korea have established national programs on smart manufacturing, namely smart factory Thoben et al. Furthermore, Sweden started the research and innovation projects of production Produktion Vinnova,and the Chinese government has implemented the strategy of China Manufacturing The state council, In smart manufacturing environment, with the increasing availability of sensors and smart machine tools, massive data are available in manufacturing systems from the system-level to the operation-level with various degrees of complexity, even can be obtained during all phases of product lifecycle.
Since the lifecycle big data are linked to real-time events, they can support the smart manufacturing and contribute significantly in cleaner production if analysed properly. For example, Hazen et al.
The impact of big data on world-class sustainable manufacturing involves green product design and green production were explored by Dubey et al. These two special issues were collectively devoted to publishing emerging technologies, theories, and significant insights related to big data in service and manufacturing SCM, aiming to transfer these two sectors into a level that is more efficient and economic.
In addition, by using big data and predictive analytics to take the current supply chain theory and practice to the next level of excellence in terms of supporting suitable supply design and operations.
Many of them focused on economic and social applications of big data. Only a few of them discussed big data in smart manufacturing.
Big data related articles Zhang et al. Based on abovementioned publications and special issues, there are some issues that we see now as a team that are not properly addressed.
These issues have been strong and challenging to carry on but have not been properly covered until now. Many existing publications only focused on applying the smart enabling technologies to facilitate the implementation of smart manufacturing paradigm, however, the sustainability aspect of the whole PLM processes in the context of smart manufacturing were seldom involved.
Many other special issues only focused on applying one of the smart enabling technologies, i. The research on integrated applications of the various smart enabling technologies, to enhance the sustainability of the lifecycle management was almost vacant.
The existing research on smart technologies enabled PLM only involved a limited lifecycle stages e. Few studies have performed research covering smart enabling technologies in the whole lifecycle especially lacking in design and recovery stages of decision-making processes.
These issues lead to some research questions such as: What are the important elements and enablers for sustainable smart manufacturing and sustainable PLM? How to effectively utilize the smart enabling technologies to realize the sharing and integration of the data and manufacturing in different lifecycle stages, and then to facilitate sustainable PLM?
What benefits can be brought to the involved industrial communities by penetrating and using smart enabling technologies into the whole lifecycle? Aiming to fill these gaps, this special issue attempts to bring together researchers, industry engineers and administrators resorting to the state-of-the-art theories, methods, technologies as well as ideas to effective integration and application of various smart enabling technologies in the whole lifecycle management and decision-making processes, to uncover the real potential of lifecycle big data, to achieve data and knowledge sharing among all lifecycle stages, and finally to promote the realization of sustainable production and sustainable PLM.
Themes Under the promotion of the smart enabling technologies, data and knowledge share among various lifecycle management sectors can be effectively facilitated, and then more reasonable and precise manufacturing and lifecycle management and decision-making can be achieved.
Design In the context of smart manufacturing, the isolated lifecycle data that influence the product, service, and smart manufacturing system design can be integrated and analysed to generate important insights about product and service design, and manufacturing system improvements and innovations.
It can also help designers to identify the most important and valuable features based on concrete customer inputs as well as designs that minimize production costs, and harness consumer insights to reduce development costs.
Furthermore, BDA can also assist designers in improving product and service design for purposes, such as design for reliability, maintenance, remanufacturing, environment, reuse, recycle, and so on. Topics of interest in this theme include but are not limited to: Therefore, large amount of production data is produced and collected.
Manufacturers can analyse these data by using BDA to improve the management and the production performance of the overall manufacturing processes for complex products, such as reducing process flaws, optimizing process parameters and shop-floor logistics, improving production quality and productivity, etc.
Such managerial improvement and optimization may greatly contribute to reducing energy consumption, waste, carbon emission and environmental impact.
Currently, theories and applications of the innovative ways of manufacturing can be further studied and analysed for the better resource efficiency, e.
Service and maintenance In the smart manufacturing environment, the big data of product operation status can be monitored and gathered by the manufacturers and customers in a timely fashion.
These big data are an important asset for maintenance and service decision-making. For instance, by analysing the product operation status data, manufacturers and customers can determine whether product performance is decreasing.
These analyses can help manufacturers and customers to accurately predict when the products will fail.Product Lifecycle Management Effective PLM is about implementing the right combination of people, data, processes, technology and infrastructure to optimize the product lifecycle.
Initially, the focus of product data management was solely on design and engineering. Eventually, the need for secure data management and control during the entire product lifecycle expanded the requirements for systems used to manage product data and processes.
Also, high quality research contributions describing original and unpublished results of conceptual, constructive, empirical, experimental, or theoretical work in all areas of Product Lifecycle Design and Management are cordially invited for presentation at the conference.
Product lifecycle management products to have embedded information devices, e.g. RFID tags and onboard com puters, which makes it possible to gather lifecycle data . Product Lifecycle Management and Compliance with International Standards: a Case Study Analysis in the Footwear Industry International Journal of Product Lifecycle Management An Approach for a Model Based Development Process of Cybertronic Systems.
Data Management, Product Lifecycle Management, Product Data Management, Manufacturing Industry NEW ONTOLOGY RETRIEVAL IMAGE METHOD IN 5K COREL IMAGES Semantic annotation of images is an important research topic on both image understanding and database or web image search.