Operations Research & Optimization
About
Operations Research (OR) is a quantitative approach that deploys advanced mathematical and analytical methods to help business and organizations to make decisions more efficiently. It is a multidisciplinary field with a variety of applications. It involves knowledge in mathematics, statistics, computer, economics and engineering.
Research themes
Members of our group applied advanced OR methods to real-world problems such as transportation, airline industries, healthcare, manufacturing, financial, supply chain management and logistics and other industries.
Techniques applied by our researchers include but are not limited to optimization, algorithms, simulation, statistical analysis and mathematical modelling.
Related programs
There are several OR-related courses offered in the BSc Mathematics and MSc Applied Mathematics programs. These include fundamental OR, advanced programming and quantitative analysis courses.
OR plays an important role in manufacturing. It can be applied to solve many problems in industries such as resource allocation, production planning, inventory control, transportation management. Several OR courses are offered in the BSc Industrial Mathematics & Data Science program.
Methods in operations research can be applied in problems in insurance and actuarial science to manage risk. There are courses offered in Actuarial Science program.
Recent publications
Von Neumann and Newman pokers with finite decks
Krityakierne T, Thanatipanonda TA*, Zeilberger D
Mathematical Intelligencer , 2025
A generating function framework for the no-feedback card guessing game after riffle shuffles
Krityakierne T*, Thanatipanonda TA
AIMS Mathematics , 2025
Petchrompo S*, Chitniyom R, Peerwantanagul N, Laesanklang W, Suwanapong J, Borrisuttanakul S
Waste Management, 2025
Krityakierne T, Boonkangwan C, Phunnasorn C, Laesanklang W*
IEEE Access, 2025
Printechapat T, Aiewsakun P*, Krityakierne T*
Mathematics and Computers in Simulation, 2025
GIS spatial optimization for agricultural crop allocation using NSGAII
Krityakierne T*, Sinpayak P, Khiripet N
Information Processing in Agriculture, 2025
GDESA: gradient differential evolution-simulated annealing hybrid
Soonjun B, Krityakierne T*
IEEE Access, 2024
Moments of the one-shuffle no-feedback card guessing game
Krityakierne T, Siriputcharoen P, Thanatipanonda TA*, Yapolha C
Discrete Mathematics Letters, 2023
Market analysis with Business Intelligence system for marketing planning
Kongthanasuwan T, Sriwiboon N, Horbanluekit B, Laesanklang W, Krityakierne T*
Information, 2023
The card guessing game: A generating function approach
Krityakierne T, Thanatipanonda TA
Journal of Symbolic Computation, 2023
Simulation-based POLCA integrated QRM approach for smart manufacturing
Kumar S, Petchrompo S, Ahmed T, Jain AK
Lecture Notes in Mechanical Engineering, 2023
Nurse-patient relationship for multi-period home health care routing and scheduling problem
Krityakierne T, Limphattharachai O, Laesanklang W
PLoS One, 2022
A review of Pareto pruning methods for multi-objective optimization
Petchrompo S, Coit DW, Brintrup A, Wannakrairot A, Parlikad AK
Computers & Industrial Engineering, 2022
Effect of additional order in two-stage supply chain contract under the demand uncertainty
Chueanun S, Suwandechochai R
Computation, 2021
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