Xuemei Liu

Dr. Xuemei Liu


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 June 2021 in Information Processing in Agriculture
Verified
Journal Article
Open access
SWShanping Wang
Shanping Wang
LYLi Yang
Li Yang
Jin YuanJin Yuan
Jin Yuan
LSLaiqi Song
Laiqi Song
XLXinghua Liu
Xinghua Liu
XLXuemei Liu
Xuemei Liu

1 October 2020 in Journal of Manufacturing Systems
Verified
Journal Article
Closed access
HSHuan Shao
Huan Shao
GMGiovanni Moroni
Giovanni Moroni
ALAiping Li
Aiping Li
XLXuemei Liu
Xuemei Liu
LXLiyun Xu
Liyun Xu

17 December 2019 in International Journal of Production Research
Verified
Journal Article
Closed access
XLXuemei Liu
Xuemei Liu
JCJiawei Chen
Jiawei Chen
ALAiping Li
Aiping Li
Reconfigurable transfer lines (RTLs), which are highly responsive to demand fluctuations, have gained increasing attention. This research deals with the line configuration design and balancing problem of RTLs under uncertain demand where line configuration can be changed to satisfy a given demand with minimum cost. It is assumed that the demand of a single product is in interval form. Such RTL is composed of a sequence of workstations and each workstation consists of several identical CNC machining centres. The RTL production capability could be adjusted by adding/removing machines or overtime work. The line configuration and balancing decision is to determine the number of workstations, specify the set-up and the number of machines in each workstation, then assign operations to workstations with various constrains satisfied. Interval optimisation theory is introduced to cope with demand uncertainty. A two-stage optimisation model is developed to handle the primary RTL design and the necessary system reconfiguration. A heuristic algorithm based on greedy randomised adaptive search procedure combined with variable neighbourhood search is given for operation assignment. An industrial case study is carried out and multiple near-optimal solutions are obtained. The feasibility and effectiveness of the proposed method is verified by the comparison of computational experiments.

4 April 2016 in Chinese Journal of Mechanical Engineering
Verified
Journal Article
Closed access
PDF file
XLXuemei Liu
Xuemei Liu
ALAiping Li
Aiping Li
ZCZurui Chen
Zurui Chen

2 November 2023 in Soft Computing
Verified
Journal Article
Closed access
PDF file
GTGuoxiang Tong
Guoxiang Tong
DLDeyun Li
Deyun Li
XLXuemei Liu
Xuemei Liu

20 July 2010 in Journal of Computer-Aided Design & Computer Graphics
Verified
Journal Article
Closed access
CXCijun Xu
Cijun Xu
ALAiping Li
Aiping Li
XLXuemei Liu
Xuemei Liu