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Faculty Member

DR. JIRACHAI BUDDHAKULSOMSIRI (ASSOCIATE PROFESSOR)

Head of the School of Manufacturing Systems and Mechanical Engineering and Chairperson of Master of Engineering in Logistics and Supply Chain Systems Engineering Curriculum

CONTACT 

jirachai@siit.tu.ac.th

+66-2-986-9009, +66-2-986-9101, +66-2-564-3226

Phone Extension: 2108

EDUCATION

  • B.Eng. in Chemical Engineering, Chulalongkorn University, Thailand

  • M.S. in Industrial Engineering, Oregon State University, USA

  • M.S. in Statistics, Oregon State University, USA

  • Ph.D. in Industrial Engineering, Oregon State University, USA

WORK EXPERIENCE 

  • June 2006 – Present: Assistant Professor, School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thailand

  • September 2003 – April 2006: Assistant Professor, Department of Industrial and Manufacturing Systems Engineering, University of Michigan-Dearborn, USA

  • August 1997 – June 2003: Graduate Research Assistant, Department of Industrial and Manufacturing Engineering, Oregon State University, USA

  • September 1998 – December 2002: Graduate Teaching Assistant, Department of Industrial and Manufacturing Engineering, Department of Statistics, Oregon State University, USA

RESEARCH AREAS

Applied operations research, Data mining, Production planning and control, Systems simulation, and Engineering economics analysis, Logistics & supply chain management.​

RESEARCH INTERESTS

Applied Operations Research

 

The main focus is to effectively and efficiently solve application problems using existing, modified or newly developed optimization tools. Various applications of interest include, but are not limited to, 1) resource-constrained project scheduling problems in project management; 2) parallel replacement problems in engineering economic decision analysis; 3) vehicle routing, facility location, and supply chain optimization in logistic and supply chains, and 4) production planning and controls in manufacturing and agro-industrial plants.

 

Data Analysis for Process/Product Optimization and Improvement

 

Process and product can be optimized or improved by using the information contained in the process data. Data analysis tools of interest include statistical data analysis, design and analysis of experiments, statistical process control, statistical sampling, and data mining.

 

Systems Simulation Modeling and Analysis

 

The research involves modeling of actual and large complex systems using computer simulations and conducting analyses on the simulation models. The objectives are to study and predict the behavior of actual systems, to improve/optimize the performance of existing systems, or to design new systems

LIST OF PUBLICATIONS

Pannakkong, W., Vinh, V. T., Tuyen, N. N. M., & Buddhakulsomsiri, J. (2023). A Reinforcement Learning Approach for Ensemble Machine Learning Models in Peak Electricity Forecasting. Energies, 16(13), 5099.

 

Ji, J., Pannakkong, W., & Buddhakulsomsiri, J. (2023). A Computer Vision-Based System for Metal Sheet Pick Counting. Computers, Materials & Continua, 75(2).

 

Aswanuwath, L., Pannakkong, W., Buddhakulsomsiri, J., Karnjana, J., & Huynh, V. N. (2023). A Hybrid Model of VMD-EMD-FFT, Similar Days Selection Method, Stepwise Regression, and Artificial Neural Network for Daily Electricity Peak Load Forecasting. Energies, 16(4), 1860.

 

Duc, N. T. T., Buddhakulsomsiri, J., & Tai, P. D. (2023). A Mathematical Model for the Integrated Problem of Production Network Design and Inventory Positioning. Available at SSRN 4516180.

 

Ji, J., Pannakkong, W., & Buddhakulsomsiri, J. (2022). A Computer Vision-Based Model for Automatic Motion Time Study. Computers, Materials & Continua, 73(2).

 

Tai, P. D., Buddhakulsomsiri, J., & Duc, T. T. H. (2022). Revisiting measurement of compound bullwhip with asymmetric reference price. Computers & Industrial Engineering, 172, 108510.

 

Duc, N. T. T., Tai, P. D., & Buddhakulsomsiri, J. (2022). Inventory Positioning in Supply Chain Network: A Service-Oriented Approach. IEEE Access, 10, 92986-93002.

 

Tai, P. D., Duc, T. T. H., & Buddhakulsomsiri, J. (2022). Value of information sharing in supply chain under promotional competition. International Transactions in Operational Research, 29(4), 2649-2681.

 

Pannakkong, W., Parthanadee, P., & Buddhakulsomsiri, J. (2022). Impacts of harvesting age and pricing schemes on economic sustainability of cassava farmers in Thailand under market uncertainty. Sustainability, 14(13), 7768.

 

Pannakkong, W., Harncharnchai, T., & Buddhakulsomsiri, J. (2022). Forecasting daily electricity consumption in Thailand using regression, artificial neural network, support vector machine, and hybrid models. Energies, 15(9), 3105.

 

Duc, N. T. T., Tai, P. D., & Buddhakulsomsiri, J. (2022). A Markovian approach to modeling a periodic order‐up‐to‐level policy under stochastic discrete demand and lead time with lost sales. International Transactions in Operational Research, 29(2), 1132-1158.

 

Pannakkong, W., Thiwa-Anont, K., Singthong, K., Parthanadee, P., & Buddhakulsomsiri, J. (2022). Hyperparameter tuning of machine learning algorithms using response surface methodology: a case study of ANN, SVM, and DBN. Mathematical problems in engineering, 2022, 1-17.

 

Tivattanasuk, A., & Buddhakulsomsiri, J. (2022). Estimate optimal warehouse design for the beverage distribution center (Doctoral dissertation, Thammasat University).

 

Siriapichart, S., Buddhakulsomsiri, J., & Tai, P. D. (2022). Model for vehicle routing problem with loaded distance by clustering algorithm (Doctoral dissertation, Thammasat University).

 

Boonsem, T., Pannakkong, W., & Buddhakulsomsiri, J. (2022). Surface defect detection in lime by using computer vision (Doctoral dissertation, Thammasat University).

 

Singha, K., Buddhakulsomsiri, J., & Parthanadee, P. (2022). A two-stage method to determine parameters of (R, Q) inventory policy with storage capacity for a single item and multiple items. International Journal of Logistics Systems and Management, 43(3), 366-394.

 

Pham, T. D., Sahasoontaravuti, S., & Buddhakulsomsiri, J. (2022). Determining (s, S) Inventory Policy for Healthcare System: A Case Study of a Hospital in Thailand. International Journal of Knowledge and Systems Science (IJKSS), 13(1), 1-18.

 

Jinawat, K., Tai, P. D., & Buddhakulsomsiri, J. (2021). A bi-objective model for determining an optimal warehouse capacity, and product allocation in a green multi-product, multi-period distribution network. International Journal of Applied Research in Management and Economics, 4(3), 63-72.

 

Leelertkij, T., Parthanadee, P., & Buddhakulsomsiri, J. (2021). Vehicle routing problem with transshipment: mathematical model and algorithm. Journal of Advanced Transportation, 2021, 1-15.

 

Vinh, V. T., Pannakkong, W., & Buddhakulsomsiri, J. (2021). Implement tuned reinforcement learning in selecting different machine learning models prediction for peak electricity consumption (Doctoral dissertation, Thammasat University).

 

Kitsomcheep, B., & Buddhakulsomsiri, J. (2021). Market basket analysis of drug store in seasonal period (Doctoral dissertation, Thammasat University).

 

Chaiwong, N., Pannakkong, W., & Buddhakulsomsiri, J. (2021). Classifying saleability of lime by using convolutional neural network (CNN) approach (Doctoral dissertation, Thammasat University).

 

Sadibhakdi, P., & Buddhakulsomsiri, J. (2021). Market basket analysis of drugs stores in a monthly period (Doctoral dissertation, Thammasat University).

 

Doungploy, W., & Buddhakulsomsiri, J. (2021). Inventory optimization with (S, s) policy and partial backlog under stochastic discrete demand and lead time (Doctoral dissertation, Thammasat University).

 

Kittitharayada, P., Buddhakulsomsiri, J., & Pannakkong, W. (2021). Using design of experiments during the process of tuning hyperparameters in machine learning algorithms(Doctoral dissertation, Thammasat University).

 

Klaisangh, P., & Buddhakulsomsiri, J. (2021). Canned fruit brix prediction using machine learning using deep neural network (Doctoral dissertation, Thammasat University).

 

Akrajittham, S., Tai, P. D., & Buddhakulsomsiri, J. (2021). Vehicle route problem in cold chain logistics (Doctoral dissertation, Thammasat University).

 

Harncharnchai, T., & Buddhakulsomsiri, J. (2021). Prediction daily electricity consumption in Thailand using multiple linear regression, artificial neural network, support vector machine, and hybrid models (Doctoral dissertation, Thammasat University).

 

Sahasoontaravuti, M. S., & Buddhakulsomsiri, J. (2021). Determining (s, S) inventory policy for health care system: a case study of hospital in Thailand (Doctoral dissertation, Thammasat University).

 

Jeenanunta, C., Kongtarat, V., & Buddhakulsomsiri, J. (2021). A simulation-optimisation approach to determine optimal order-up-to level for inventory system with long lead time. International Journal of Logistics Systems and Management, 38(2), 253-276.

 

Tai, P., Huyen, P., & Buddhakulsomsiri, J. (2021). A novel modeling approach for a capacitated (S, T) inventory system with backlog under stochastic discrete demand and lead time. International Journal of Industrial Engineering Computations, 12(1), 1-14.

 

Maitreesorasuntee, C., Jeenanunta, C., Buddhakulsomsiri, J., Pannakkong, W., Chaysiri, R., Masahiro, N., & Karnjana, J. (2020). A Steel Tube Production Planning and Scheduling with Product-Dependent Changeover Time Using Digital Twin. INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 4(2), 13-19.

 

Duc, N. T. T., Tai, P. D., & Buddhakulsomsiri, J. (2020, April). Approximating Measures of Performance of a Periodic Review Inventory System by Using Markov Chain. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 543-547). IEEE.

 

Kongsri, P., & Buddhakulsomsiri, J. (2020, April). A mixed integer programming model for unrelated parallel machine scheduling problem with sequence dependent setup time to minimize makespan and total tardiness. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 605-609). IEEE.

 

Thiwa-anont, K., Buddhakulsomsiri, J., & Pannakkong, W. (2020, April). Raw Material Characteristic Prediction for Packing Media Preparation in Canned Pineapple Production Line. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 350-354). IEEE.

 

Thy, N. N. A., Buddhakulsomsiri, J., & Parthanadee, P. (2020, April). A mathematical model for optimizing organic feed mix problem. In 2020 IEEE 7th International Conference on Industrial Engineering and Applications (ICIEA) (pp. 570-573). IEEE.

 

Sudmee, M. P., & Buddhakulsomsiri, J. (2020). Optimization for cold chain management in northern Thailand: a case study in sweet corn supply chain (Doctoral dissertation, Thammasat University).

 

Thianthong, A., & Buddhakulsomsiri, J. (2020). Survey study on supply chain disruption from COVID-19 (Doctoral dissertation, Thammasat University).

 

Thiensiri, M. P., & Buddhakulsomsiri, J. (2020). Optimization of fruit cold chain management: a case study of mayongchid supply chain in central Thailand (Doctoral dissertation, Thammasat University).

 

Kongsri, M. P., & Buddhakulsomsiri, J. (2020). Dynamic dispatching rule based-heuristics for unrelated parallel machine scheduling problem with machine and sequence-dependent setup time (Doctoral dissertation, Thammasat University).

 

Sinlapachai, M., & Buddhakulsomsiri, J. (2020). Market basket analysis using association rule in drug and health store (Doctoral dissertation, Thammasat University).

 

Jiaranaicharoen, C., & Buddhakulsomsiri, J. (2020). Optimization for cold chain management in eastern Thailand: a case study in mangosteen supply chain (Doctoral dissertation, Thammasat University).

 

Singthong, K., & Buddhakulsomsiri, J. (2020). Forecasting using artificial intelligence or machine learning algorithm (Doctoral dissertation, Thammasat University).

 

Nittayawan, J., & Buddhakulsomsiri, J. (2020). Market basket analysis in retails: study on the promotional pricing effect on frequent itemsets against demand elasticity in a retail store (Doctoral dissertation, Thammasat University).

 

Samatiat, M. S., & Buddhakulsomsiri, J. (2020). Optimization of fruit cold chain management: a case study of mangosteen supply chain in southern Thailand (Doctoral dissertation, Thammasat University).

 

Tanutammakun, M. S., & Buddhakulsomsiri, J. (2020). Car damage classification for car insurance company by using Colab with convolutional neural networks deep learning method (No. 181816). Thammasat University.

 

Thiwa-anont, K., & Buddhakulsomsiri, J. (2020). Predictive machine learning models for packing media preparation in canned pineapple production process (Doctoral dissertation, Thammasat University).

 

Intaruk, M. R., & Buddhakulsomsiri, J. (2020). Optimization of fruit cold chain management: a case study of coconut supply chain in western Thailand (Doctoral dissertation, Thammasat University).

 

Ji, J., Pannakkong, W., Tai, P. D., Jeenanunta, C., & Buddhakulsomsiri, J. (2020). Motion time study with convolutional neural network. In Integrated Uncertainty in Knowledge Modelling and Decision Making: 8th International Symposium, IUKM 2020, Phuket, Thailand, November 11–13, 2020, Proceedings 8 (pp. 249-258). Springer International Publishing.

 

Tai, P. D., Duc, T. T. H., & Buddhakulsomsiri, J. (2019, December). Information Sharing with Multiple Customer Segmentations. In 2019 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)(pp. 876-880). IEEE.

 

Pannakkong, W., Aswanuwath, L., Buddhakulsomsiri, J., Jeenanunta, C., & Parthanadee, P. (2019, November). Forecasting medium-term electricity demand in Thailand: Comparison of ANN, SVM, DBN, and their ensembles. In 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE) (pp. 1-6). IEEE.

 

Paopongchuang, B., Yenradee, P., & Buddhakulsomsiri, J. (2019). Finite capacity material requirement planning system for supply chain network (Doctoral dissertation, Thammasat University).

 

Tai, M. P. D., Buddhakulsomsiri, J., & Duc, T. T. H. (2019). Marketing-operations interface: a study of compound bullwhip effect and information sharing in supply chain (Doctoral dissertation, Thammasat University).

 

Duc, M. N. T. T., & Buddhakulsomsiri, J. (2019). A Markovian approach for optimizing A (T, S) inventory system under stochastic discrete demand and lead time with lost sales(Doctoral dissertation, Thammasat University).

 

Thy, M. N. N. A., & Buddhakulsomsiri, J. (2019). Fuzzy linear programming model of animal feeds raw material procurement problem to study the impacts of government policies (Doctoral dissertation, Thammasat University).

 

Le, C. T. D., Buddhakulsomsiri, J., Jeenanunta, C., & Dumrongsiri, A. (2019). Determining an optimal warehouse location, capacity, and product allocation in a multi-product, multi-period distribution network: a case study. International Journal of Logistics Systems and Management, 34(4), 510-532.

 

Singha, K., Buddhakulsomsiri, J., & Parthanadee, P. (2019). Computational experiment of methods to determine periodic (R, Q) inventory policy parameters: a case study of information decentralised distribution network. International Journal of Industrial and Systems Engineering, 32(2), 212-242.

 

Tai, P. D., Duc, T. T. H., & Buddhakulsomsiri, J. (2019). Measure of bullwhip effect in supply chain with price-sensitive and correlated demand. Computers & Industrial Engineering, 127, 408-419.

 

Buddhakulsomsiri, J., Parthanadee, P., and Pannakkong, W. Prediction models of starch content in fresh cassava roots for a tapioca starch manufacturer in Thailand, Computers and Electronics in Agriculture, 2018, 154, 296-303.

Duc, T. T. H., Loi, N. T., and Buddhakulsomsiri, J. Buyback contract in a risk-averse supply chain with a return policy and price dependent demand, International Journal of Logistics Systems and Management, 2018, 30 (3), 298-329.

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