Doctor of Philosophy in 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 stagesaspects 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.

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.