[HTML][HTML] Context-awareness for the design of Smart-product service systems: Literature review

A Carrera-Rivera, F Larrinaga, G Lasa - Computers in Industry, 2022 - Elsevier
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 …

[HTML][HTML] From technology enablers to circular economy: Data-driven understanding of the overview of servitization and product–service systems in Industry 4.0

M Kim, C Lim, J Hsuan - Computers in Industry, 2023 - Elsevier
Product-based companies worldwide attempt to integrate services into their offerings,
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

S Ma, W Ding, Y Liu, S Ren, H Yang - Applied energy, 2022 - Elsevier
Abstract Internet of Things (IoT) technology, which has made manufacturing processes more
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

S Ma, Y Zhang, J Lv, S Ren, H Yang, C Wang - Advanced Engineering …, 2022 - Elsevier
Cleaner production is an effective strategy for improving material utilization, reducing energy
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 …

[HTML][HTML] A personalised operation and maintenance approach for complex products based on equipment portrait of product-service system

S Ren, L Shi, Y Liu, W Cai, Y Zhang - Robotics and Computer-Integrated …, 2023 - Elsevier
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 …

Machine learning for object recognition in manufacturing applications

H Yun, E Kim, DM Kim, HW Park, MBG Jun - International Journal of …, 2023 - Springer
Feature recognition and manufacturability analysis from computer-aided design (CAD)
models are indispensable technologies for better decision making in manufacturing …

Hybrid sensing-based approach for the monitoring and maintenance of shared manufacturing resources

G Zhang, CH Chen, B Liu, X Li… - International Journal of …, 2023 - Taylor & Francis
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 …

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 …

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 …