Shan Ren

TL;DR: An overall architecture of big data-based analytics for product lifecycle (BDA-PL) was proposed that integrated big data analytics and service-driven patterns that helped to overcome barriers in the implementation of CP.

TL;DR: Smart manufacturing has received increased attention from academia and industry in recent years, as it provides competitive advantage for manufacturing companies making industry more efficient and more efficient as discussed by the authors. But, the benefits of smart manufacturing are limited.

TL;DR: The results showed that the proposed framework was feasible to be adopted in industry, and can provide an overall solution for optimizing the decision-making processes in different phases of the whole lifecycle.

TL;DR: A framework of data-driven sustainable intelligent/smart manufacturing based on demand response for energy-intensive industries based on particle swarm optimisation is presented and an application of ball mills in a slurry shop-floor of a partner company was presented to demonstrate the proposed framework and models.

TL;DR: The VSI addressed issues that were not properly or even incorrectly addressed in the existing literature and sought to introduce new knowledge and debates to lead the research directions to new paths.