Department of Industrial Engineering and Management, Yuan Ze University

Research Interest

The Department of Industrial Engineering and Management (IEM) supports five areas of interest and their applications

The focus on smart production and management in the IEM program study:

Production and distribution systems: material handling systems, material requirements planning, facility planning, capacity expansion, adaptive forecasting, multistage sequencing, and lean manufacturing
Optimization: large-scale optimization, convex optimization, location theory, network optimization, integer programming, optimization of traffic networks, multiple criteria decision-making, robust optimization, and compressed sensing
Simulation: production modeling, operational scheduling, plant design and layout, process flow analysis, and robust optimization
Application of internet of things (iot), cloud computing, big data, and artificial intelligence in industry 4.0
Applications of networking technologies and cloud computing in mobilized enterprises
Operational models for smart and digital lean management
Optimization of material management, production scheduling, and processes
Integration of quality management and smart production
Integration of service industry management and smart production

Faculty members who specialize in smart production and management are:

The focus on artifical intelligence and big data analytics in the IEM program study:

Applied probability and stochastic systems: queuing systems, stochastic networks, control of telecommunications and information systems, call center modeling, and large-scale service systems
Statistics applications: statistical learning theory, spatial statistics, time series models, response surface methods, analysis and design of experiments, and large-scale statistical inference
Machine learning: decision tree, Bayesian network, neural networks, recurrent neural networks, convolution neural networks, deep learning, attention mechanism
Development of deep learning and artificial intelligence algorithms
Development of big data analytics methods
Applications of artificial intelligence and big data analytics in consumer behavior
Applications of artificial intelligence and big data analytics in healthcare and home care
Applications of artificial intelligence and big data analytics in production and scheduling
Applications of artificial intelligence and big data analytics in quality anomaly diagnosis

Faculty members who specialize in artifical intelligence and big data analytics are:

The focus on global logistics and supply chain management in the IEM program study:

Supply chain and logistics: network design, enterprise integration, supply chain coordination and collaboration, contracting mechanisms, congestion modeling, and transportation modeling
Green supply chain
Strategies for achieving net-zero carbon emissions in sustainable supply chains
Exploration of novel global supply chain models
Applications of internet of things (IOT) in smart logistics
Applications of big data analytics in supply chain management
Integration of smart manufacturing systems and global logistics

Faculty members who specialize in global logistics and supply chain management are:

The focus on quality engineering and service management in the IEM program study:

Quality engineering: total quality systems, process improvement strategies, design for quality, statistical modeling of tolerances, Taguchi loss function, and continuous quality improvement
Service management: retail engineering, workforce modeling, data mining, demand management, pricing, employee training, employee retention, and resource allocation
Health systems engineering: health information technology, patient flow modeling, capacity management, staff scheduling, quality improvement, data visualization, health informatics, and cost-effective modeling
Advanced quality engineering techniques
Total quality management and excellence business models
Six sigma quality management
Process analysis and simulation
Applications of lean production methods for process improvement in production and services
Integrated project management with sustainability

Faculty members who specialize in quality engineering and service management are:

The focus on human factors/ergonomics engineering and design in the IEM program study:

Ergonomics: workplace analysis, mental workload evaluation, biomechanics, modeling crash impacts, human reliability modeling, safety planning, and work physiology
Human-centered design: ergonomic product design and analysis, design cognition, human and social dynamics in design, and problem-solving enabling methods
Human-computer interaction: human-computer interface and information visualization
Human-machine systems: human-in-the-loop simulation, behavioral decision-making modeling, human performance modeling, machine learning, and eye-tracking systems
User experience/usability engineering and product design
Elderly care and home environment design
Application of human factors engineering in healthcare systems
Evaluation and design of user interaction for consumer electronics
Application of human factors engineering in smart manufacturing systems

Faculty members who specialize in human factors/ergonomics engineering and design are: