[HTML][HTML] Context-awareness for the design of Smart-product service systems: Literature review
Abstract Smart-Product Service Systems (S-PSS) emerge as a novel strategy to integrate
smart products with advanced digital capabilities and their related e-services to satisfy user's …
smart products with advanced digital capabilities and their related e-services to satisfy user's …
[HTML][HTML] From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0
Product-based companies worldwide attempt to integrate services into their offerings,
embarking on “servitization” as a key strategy. These days, the acceleration of technological …
embarking on “servitization” as a key strategy. These days, the acceleration of technological …
[HTML][HTML] Digital twin and big data-driven sustainable smart manufacturing based on information management systems for energy-intensive industries
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
smart, efficient and sustainable, has received increasing attention from the industry and …
smart, efficient and sustainable, has received increasing attention from the industry and …
Data-driven cleaner production strategy for energy-intensive manufacturing industries: Case studies from Southern and Northern China
Cleaner production is an effective strategy for improving material utilization, reducing energy
consumption, maximizing product output, and minimizing emissions during the entire …
consumption, maximizing product output, and minimizing emissions during the entire …
Adopting a deep learning split-protocol based predictive maintenance management system for industrial manufacturing operations
B Senapati, BS Rawal - International Conference on Big Data Intelligence …, 2022 - Springer
This paper presents the best computational modeling (AI/ML and Quantum Computing)
methods to predict the performance optimization of predictive maintenance and …
methods to predict the performance optimization of predictive maintenance and …
[HTML][HTML] A personalised operation and maintenance approach for complex products based on equipment portrait of product-service system
Based on the holistic data of product-service system (PSS) delivery processes, equipment
portrait can be used to describe personalised user requirements and conduct targeted …
portrait can be used to describe personalised user requirements and conduct targeted …
Machine learning for object recognition in manufacturing applications
Feature recognition and manufacturability analysis from computer-aided design (CAD)
models are indispensable technologies for better decision making in manufacturing …
models are indispensable technologies for better decision making in manufacturing …
Hybrid sensing-based approach for the monitoring and maintenance of shared manufacturing resources
With the rapid development of information technologies, shared manufacturing is proposed
to meet the prevailing tendency of servitization and digitalisation in the industry. As the …
to meet the prevailing tendency of servitization and digitalisation in the industry. As the …
Edge-cloud cooperation driven self-adaptive exception control method for the smart factory
W Wang, T Hu, J Gu - Advanced Engineering Informatics, 2022 - Elsevier
Production exceptions often occur due to the uncertainties of resources such as random
machine broken, urgent production tasks. The timely identification and optimal control of the …
machine broken, urgent production tasks. The timely identification and optimal control of the …
Adaptive design change considering making small impact on the original manufacturing process
W Shijie, Z Xueliang, L Jingya, Z Yingfeng - Advanced Engineering …, 2024 - Elsevier
In the development of complex products, there are various design changes from the product
itself, costumers need, and manufacturing environment issues. However, few references …
itself, costumers need, and manufacturing environment issues. However, few references …