- Assembly Line Balancing Optimization
- Scheduling and Optimization Algorithms
- Manufacturing Process and Optimization
- Advanced Manufacturing and Logistics Optimization
- Mesenchymal stem cell research
- Hair Growth and Disorders
- Autophagy in Disease and Therapy
- Tissue Engineering and Regenerative Medicine
- Optimization and Packing Problems
- Geomechanics and Mining Engineering
- Electrospun Nanofibers in Biomedical Applications
- Rock Mechanics and Modeling
- Landslides and related hazards
- Railway Engineering and Dynamics
- Bone health and osteoporosis research
- Pigment Synthesis and Properties
- Advanced Control Systems Optimization
- Dermatologic Treatments and Research
- Railway Systems and Energy Efficiency
- Resource-Constrained Project Scheduling
- Advanced Multi-Objective Optimization Algorithms
- Wound Healing and Treatments
- Palliative Care and End-of-Life Issues
- Fire Detection and Safety Systems
- Advanced Data Compression Techniques
Wuhan University of Science and Technology
2018-2025
Tongji University
2022-2025
Tongji Hospital
2022-2025
Jinhua Central Hospital
2024
Zhejiang University
2024
Liaoning Technical University
2023
Wenzhou Medical University
2021-2023
First Affiliated Hospital of Wenzhou Medical University
2021-2023
The University of Melbourne
2023
Defence Electronics Research Laboratory
2021
In practical assembly enterprises, customization and rush orders lead to an uncertain demand environment. This situation requires managers researchers configure line that increases production efficiency robustness. Hence, this work addresses cost-oriented mixed-model multimanned balancing under demand, presents a new robust mixed-integer linear programming model minimize the penalty costs simultaneously. addition, reinforcement learning-based multiobjective evolutionary algorithm (MOEA) is...
Within U-shaped assembly lines, the increase of labour costs and subsequent utilisation robots has led to growing energy consumption, which is current main expense auto electronics industries. However, there are limited researches concerning both consumption reduction productivity improvement on robotic lines. This paper first develops a nonlinear multi-objective mixed-integer programming model, reformulates it into linear form by linearising multiplication two binary variables, then refines...
Abstract The collaborative robots (cobots) are increasingly being utilized in industries due to the advancement field of robotic technology and also increase labor costs. cobots on assembly line can be complete tasks independently or assist workers tasks. This study considers U-shaped balancing problem with cobots, where several different purchasing costs selected under budget constraint. Three mixed-integer programming models formulated optimize cycle time, built capable solving small-sized...
Abstract Cervical human papillomavirus (HPV) infection is believed to increase the risks of pregnancy failure and abortion, however, whether uterine cavity HPV reduces rate or increases miscarriage remains unclarified in infertile women undergoing assisted reproductive technology (ART) treatment. Therefore, we aimed assess ART outcomes presence intrauterine HPV. This was a hospital‐based multicenter (five medicine centers) matched cohort study. study involved 4153 vitro fertilization (IVF)...
Given that a U-shaped assembly line is usually regarded as serial flow production system, preventive maintenance (PM) on machines in any station of the may lead to stoppage whole and sequentially cause great loss cost. To improve continuity during PM, this paper proposes multiple alternative assignment plans with interchangeable abilities ascertain recovery from changes structure. A mixed-integer mathematical model further formulated make decisions plans. In model, cycle time total plan...