- Advanced Statistical Process Monitoring
- Manufacturing Process and Optimization
- Optimal Experimental Design Methods
- Quality and Supply Management
- Advanced Statistical Methods and Models
- Scientific Measurement and Uncertainty Evaluation
- Reliability and Maintenance Optimization
- Fault Detection and Control Systems
- Industrial Vision Systems and Defect Detection
- Advanced Multi-Objective Optimization Algorithms
- Probabilistic and Robust Engineering Design
- Sustainable Supply Chain Management
- Product Development and Customization
- Multi-Criteria Decision Making
- Quality Function Deployment in Product Design
- Supply Chain and Inventory Management
- Supply Chain Resilience and Risk Management
- Software Reliability and Analysis Research
- Customer Service Quality and Loyalty
- Scheduling and Optimization Algorithms
- Statistical Distribution Estimation and Applications
- Optimization and Mathematical Programming
- Quality and Safety in Healthcare
- Risk and Safety Analysis
- Quality and Management Systems
Tianjin University
2016-2025
Second Affiliated Hospital of Shantou University Medical College
2024-2025
Shantou University
2024-2025
Tianjin University of Finance and Economics
2014-2024
Northeast Normal University
2023
University of Tsukuba
2020
Tianjin Normal University
2019
Xiangtan University
2011-2014
Hebei University of Technology
2008
Tianjin University of Technology
2008
As a useful generalization of fuzzy sets, the hesitant set is designed for situations in which it difficult to determine membership an element because ambiguity between few different values. In this paper, we define ith-order polymerization degree function and propose new ranking method further compare sets. order obtain much more information process group decision making, combine power average operator with Bonferroni mean environments develop geometric mean. We investigate desirable...
Abstract Deep Reinforcement Learning (DRL) has been increasingly attempted in assisting clinicians for real-time treatment of sepsis. While a value function quantifies the performance policies such decision-making processes, most value-based DRL algorithms cannot evaluate target precisely and are not as safe clinical experts. In this study, we propose Weighted Dueling Double Q-Network with embedded human Expertise (WD3QNE). A Q adaptive dynamic weight is designed to improve estimate accuracy...
The Bonferroni mean (BM) was originally presented by and had been generalized many researchers on Atanassov's intuitionistic fuzzy sets (AIFSs) for its capacity to capture the interrelationship between input arguments. Nevertheless, forms of combinations newly proposed interaction theory AIFSs with BM are very single, existing BMs not consistent aggregation operations ordinary sets. As complements generalizations under environment, this paper develops extended (EIFIBM) weighted mean, which...
A clear understanding of customer needs is key to the success new product development and customer-centric design. Online reviews, particularly initial are commonly used as effective sources for mining requirements. Although customers may post truer more objective supplementary reviews after a period use, such often overlooked when identifying requirements design improvement. In this study, we proposed framework by combining based on text mining. We categorized identified into five attribute...
Both Six Sigma and innovation play key roles in improving competitiveness. While there is abundant research on from many perspectives, rigorous empirical investigating the impact of organisational has been limited. The purpose this paper to explore relationships between practices different types including product innovation, process administrative innovation. Empirical data were collected 249 firms China which had implemented as a formal programme their organisation. Structural Equation...
Profile monitoring is the utilization of control charts for checking stability quality a product over time when characterized by function at each point. Most existing profiles are based on assumption that observations within profile independent other, which often invalid in practice. Successive measurements exhibit spatial or serial correlation. This paper focuses Phase II linear within-profile data correlated. A Gaussian process model used to describe correlation (WPC). Two Shewhart-type...
Six Sigma as a framework for eliminating defects at the project level and improving performance customer satisfaction corporate has been generally recognised. This case-oriented paper reports an important management case study world’s largest cold rolling mill situated in China. The descriptions of measures taken company level, well that exemplary application experience this company, would constitute most comprehensive account impact brought about by to company. A Black Belt was conducted...
This study aims to construct a scale for measuring customer-perceived service quality in the context of omni-channel retailing. First, multidimensional is empirically developed assessing retailing quality. Then, prediction model customer satisfaction and loyalty proposed based on qualitative analysis responses from semi-structured interview. Finally, validated using closed questionnaire survey with 280 customers verify nomological validity scale. An eight-dimension developed, including store...