Department of Industrail Engineering and Management, Yuan Ze University

Research Interest

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

Students who focus on smart production 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
Quality engineering: total quality systems, process improvement strategies, design for quality, statistical modeling of tolerances, Taguchi loss function, and continuous quality improvement
Simulation: production modeling, operational scheduling, plant design and layout, process flow analysis, and robust optimization

Faculty members who specialize in smart production are:

Students who focus on supply chain, service engineering, and health systems engineering 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
Service engineering: 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

Faculty members who specialize in supply chain, services, and health engineering are:

Students who focus on human factors/ergonomics 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

Faculty members who specialize in human factors/ergonomics are:

Students who focus on 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

Faculty members who specialize in big data analytics are: