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Neale R. Smith is an associate professor at Tecnológico de Monterrey within the National School of Engineering and Sciences, where he currently leads the Doctoral Program in Engineering Sciences and a research group in Optimization and Data Science. He holds a bachelor's degree in Industrial Engineering from the University of Arizona and master's and doctoral degrees in Industrial Engineering from Georgia Tech.
He has taught undergraduate and graduate courses in operations research, logistics, and supply chain management. His research interests focus on applied optimization and logistics, and he has supervised 23 master’s theses and six doctoral dissertations. He has authored over 50 peer-reviewed publications and holds a patent in Mexico.
Before transitioning to academia, he worked as a consultant, implementing logistics-related solutions for various companies.
Expertise and Skills
- Supply Chain
- Industrial Engineering
- Logistics
- Production Systems
- Optimization Methods
- Inventory Management
- Optimization
- Scheduling
Consulting and Industry Projects
At i2 Technologies in Dallas, Texas, designing and implementing production and distribution planning systems. Member of the National System of Researchers and a regular member of the Mexican Academy of Sciences.
Academic Publications
- Sustainability inventory management model with warm-up process and shortage
- Effects of variable prepayment installments on pricing and inventory decisions with power demand pattern and non-linear holding cost under carbon cap-and-price regulation
- Economic production quantity models for an imperfect manufacturing system with strict inspection
- Inventory model for livestock farm under quantity discount, power demand, prepayment and carbon rules
- An in-depth metaheuristic approach to design a sustainable closed-loop agri-food supply chain network
- Effects of all-units discount on pricing and replenishment policies of an inventory model under power demand pattern
- Mathematical Modeling of Dynamic Supply Chains Subject to Demand Fluctuations
- An inventory model for growing items when the demand is price sensitive with imperfect quality, inspection errors, carbon emissions, and planned backorders
- Low-energy residential building optimisation for energy and comfort enhancement in semi-arid climate conditions
- Data-driven prediction and optimization toward net-zero and positive-energy buildings: A systematic review
- Mathematical Modeling for Infinite and Finite Dimensional Production-Inventory Systems Subject to Demand Fluctuation
- Discontinuous economic growing quantity inventory model
- Economic growing quantity model with mortality in newborn items and inhibition cost of ammonia production under all-units discount policy
- Machine downtime effect on the warm-up period in an economic production quantity problem
- A systematic literature review of food banks’ supply chain operations with a focus on optimization models
- Sustainability economic production quantity with warm-up function for a defective production system
- An inventory model in a three-echelon supply chain for growing items with imperfect quality, mortality, and shortages under carbon emissions when the demand is price sensitive
- Reconfiguration of foodbank network logistics to cope with a sudden disaster
- Bi-level programming for home health care supply chain considering outsourcing