Doctor of Philosophy in Engineering - Supply Chain Management and Logistics Optimization Research Lab

Focuses on research on operations and supply chain management, warehouse and logistics, e-business, optimization, algorithms development, and business intelligence.
Developed algorithms and support systems for cargo network scheduling, tools room scheduling, warehouse layout and management, production planning, optimal cyclic multiple-hoist scheduling, healthcare supply chains, and power network optimization.
Conducts research in dual-channel supply chain management and logistics, E-commerce, pricing and revenue management, supply chain finance, and smarter supply chain management under industry 4.0.
Engages in projects with automobile, airline, energy, foods, healthcare, finance, and IT industry, and international collaborations and exchanges.
Develops modelling and solution approaches for green, sustainable, closed-loop supply chain management, risk management, manufacturing, and portfolio optimization.
Equipped with RFID equipment, optimization, and simulation software.
Facilitates the applications and innovation of RFID, big data, and artificial intelligence in supply chain management, logistics, and process improvement.
Provides analysis and improvement of all stages/aspects of supply chain management, including forecasting, multi-stage inventory, safety inventory, supplier selection and sourcing, production planning, transportation, ERP, information system, pricing, risk and resilience, and service performance.
Provides modeling, algorithm design and development for linear, nonlinear, mixed integer, and stochastic optimization.
Developed a software package for large-scale linear programming.
Developed different meta-heuristics, Lagrangian heuristics, Benders decomposition, and other advanced algorithms for optimization and data analysis.

Windsor's unique climate of co-operation between academic, business and industry sectors gives you access to state-of-the-art engineering facilities and outstanding career opportunities. Whether you're a high school student trying to learn more about engineering, a potential graduate student considering advanced study through a master's or doctoral degree, a company or industry representative wondering if our university can assist you with a research problem, we're positive that the Faculty of Engineering can help you.

Graduates of recognized universities may apply for admission. In general, admission to graduate study is granted only to those students who have good academic records and who are adequately prepared to undertake graduate work in their field of specialization. In particular, an applicant for admission to a graduate program leading to the degree of Doctor of Philosophy must have either a Master's degree or, in exceptional cases, a four-year Bachelor's degree, or the equivalent, with a minimum average of 77% (or equivalent). Possession of the minimum requirements does not ensure admission. Transcripts, IBT-83 Minimum IELTS: 6.5.