Y
Ying Liu
Researcher at University of Glasgow
Publications - 22
Citations - 1486
Ying Liu is an academic researcher from University of Glasgow. The author has contributed to research in topics: Energy consumption & Machine tool. The author has an hindex of 16, co-authored 22 publications receiving 1101 citations. Previous affiliations of Ying Liu include Loughborough University & University of Nottingham.
Papers
More filters
Journal ArticleDOI
An investigation into minimising total energy consumption and total weighted tardiness in job shops
TL;DR: In this paper, a multi-objective scheduling method is developed with reducing energy consumption as one of the objectives, which can also be applied across existing legacy systems and does not require large investment.
Journal ArticleDOI
Agent and Cyber-Physical System Based Self-Organizing and Self-Adaptive Intelligent Shopfloor
TL;DR: This research provides a feasible method for designing an autonomous factory with exception-handling capabilities and has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively.
Journal ArticleDOI
A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT
TL;DR: A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration mechanisms and potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems.
Journal ArticleDOI
Smart manufacturing based on cyber-physical systems and beyond
TL;DR: A comprehensive survey and analysis of the CPS treated as a combination of the IoT and the IoS, and extends the eight-tuple CPS-based manufacturing to social-CPS (SCPS)-based manufacturing, termed wisdom manufacturing, which forms a nine tuple with the addition of one more element, the IoP.
Journal ArticleDOI
A multi-objective genetic algorithm for optimisation of energy consumption and shop floor production performance
TL;DR: A model for the bi-objective optimisation problem that minimises the total non-processing electricity consumption and total weighted tardiness in a job shop is introduced and the Turn off/Turn on is applied as one of the electricity saving approaches.