Faculty Member
DR. WARUT PANNAKKONG
(ASSOCIATE PROFESSOR)
Deputy Director for International Affairs and Corporate Relations
CONTACT
Email : warut@siit.tu.ac.th
Phone Numbers : +66-2-986-9009, +66-2-986-9101, +66-2-564-3226
Phone Extension: 2110
EDUCATION
Ph.D. in Knowledge Science, Japan Advanced Institute of Science and TEchnology, Japan
M.Eng. in Logistics and Sypply Chain Systems Engineering, Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand
B.Eng. in Industrial Engineering (1st Class Honors), Sirindhorn International Institute of Technology (SIIT), Thammasat University, Thailand
RESEARCH AREAS
Time series forecasting
Data mining
Logistics and supply chain management
Discrete-event systems simulation
Agro-industry management
Vehicle routing and scheduling
LIST OF PUBLICATIONS
INTERNATIONAL JOURNAL 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.
Saophan, P., Pannakkong, W., Singhaphandu, R., & Huynh, V. N. (2023). Rapid Production Rescheduling for Flow Shop under Machine Failure Disturbance Using Hybrid Perturbation Population Genetic Algorithm-Artificial Neural Networks (PPGA-ANNs). IEEE Access.
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.
Ji, J., Pannakkong, W., & Buddhakulsomsiri, J. (2023). A Computer Vision-Based System for Metal Sheet Pick Counting. Computers, Materials & Continua, 75(2).
Tanantong, T., Pannakkong, W., & Chemkomnerd, N. (2022). Resource management framework using simulation modeling and multi-objective optimization: a case study of a front-end department of a public hospital in Thailand. BMC Medical Informatics and Decision Making, 22(1), 1-21.
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.
Ji, J., Pannakkong, W., & Buddhakulsomsiri, J. (2022). A Computer Vision-Based Model for Automatic Motion Time Study. Computers, Materials & Continua, 73(2).
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.
Ji, J., Pannakkong, W., & Buddhakulsomsiri, J. (2022). A Computer Vision-Based Model for Automatic Motion Time Study. Computers, Materials & Continua, 73(2).
Saophan, P., & Pannakkong, W. (2022, March). A Genetic Algorithm Based Artificial Neural Network for Production Rescheduling Problem. In International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making (pp. 279-290). Cham: Springer International Publishing.
Ananvaithayakij, N., & Pannakkong, W. (2022). An automatic warehouse inventory monitoring system based on text extraction using computer vision (Doctoral dissertation, Thammasat University).
Tiwari, S., & Pannakkong, W. (2022). An intelligence system for a car-carrier loading optimization (Doctoral dissertation, Thammasat University).
Chaimongkol, O., & Pannakkong, W. (2022). A computer vision-based counting system: a case study of rubber grommet (Doctoral dissertation, Thammasat University).
Sadakorn, P., & Pannakkong, W. (2022). DEMAND FORECASTING BY MACHINE LEARNING (CASE STUDY OF ACRYLIC PRODUCTS) (Doctoral dissertation, Thammasat University).
Boonsem, T., Pannakkong, W., & Buddhakulsomsiri, J. (2022). Surface defect detection in lime by using computer vision(Doctoral dissertation, Thammasat University).
Pannakkong, W., Thi, K. C. V., & Olapiriyakul, S. (2021, June). Towards a Socially Sustainable Inventory Optimization. In 18th International Symposium on Management (INSYMA 2021) (pp. 139-145). Atlantis Press.
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).
Chaiwong, N., Pannakkong, W., & Buddhakulsomsiri, J. (2021). Classifying saleability of lime by using convolutional neural network (CNN) approach (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).
Chunvirat, M. S., & Pannakkong, W. (2021). A smart warehouse for small to medium enterprise with an integration of internet of things, artificial intelligence, and computer vision(No. 190333). Thammasat University.
Aphisakulchat, M. N., & Pannakkong, W. (2021). Modified decision tree model for fraud detection application (Doctoral dissertation, Thammasat University).
Tongmungkorn, C., & Pannakkong, W. (2021). Forecasting hotel room cancellations by using machine learning (Doctoral dissertation, Thammasat University).
Sirichartchai, A., & Pannakkong, W. (2021). Forecasting patient length of stay in hospital using machine learning algorithm (Doctoral dissertation, Thammasat University).
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.
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.
Sasanarakkij, J., & Pannakkong, W. (2020). Job scheduling and packing optimization in warehouse: on-time order delivery and incentive for full-pack order (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.
Singhaphandu, R., Huynh, V. N., & Pannakkong, W. (2020). Analysis and Feedback of Movement in Manual Assembly Process. In Advances in the Human Side of Service Engineering: Proceedings of the AHFE 2020 Virtual Conference on The Human Side of Service Engineering, July 16-20, 2020, USA (pp. 265-270). Springer International Publishing.
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.
Pannakkong, W., Chemkomnerd, N., & Tanantong, T. (2019, November). Simulation Analysis of University Hospital in the Medical Record Department. In 2019 17th International Conference on ICT and Knowledge Engineering (ICT&KE)(pp. 1-6). IEEE.
Phonwiphat, P., Pannakkong, W., Yenradee, P., Ekkachai, K., & Takahashi, A. (2019, July). An Intelligent System for Identifying Feasible Routes for Truck Routing Problem: An Application to a Thai Adhesive and Sealant Company (ATASC). In 2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON) (pp. 905-910). IEEE.
Olapiriyakul, S., Pannakkong, W., Kachapanya, W., & Starita, S. (2019). Multiobjective optimization model for sustainable waste management network design. Journal of Advanced Transportation, 2019.
Ou, M. S., & Pannakkong, W. (2019). Assessment of rooftop solar photovoltaic potential in Thailand: a case study of an industrial estate (Doctoral dissertation, Thammasat University).
Aswanuwath, L., & Pannakkong, W. (2019). Forecasting medium-term electricity demand in Thailand using machine learning (Doctoral dissertation, Thammasat University).
Chemkomnerd, M. N., Pannakkong, W., & Tanantong, T. (2019). Simulation modelling and analysis of multiple classes of patient flow: a case of university hospital (Doctoral dissertation, Thammasat University).
Pannakkong, W., Huynh, V. N., & Sriboonchitta, S. (2019). A novel hybrid autoregressive integrated moving average and artificial neural network model for cassava export forecasting. International Journal of Computational Intelligence Systems, 12(2), 1047-1061.
Buddhakulsomsiri, J., Parthanadee, P., & Pannakkong, W. (2018). Prediction models of starch content in fresh cassava roots for a tapioca starch manufacturer in Thailand. Computers and Electronics in Agriculture, 154, 296-303.
Pannakkong, W., Sriboonchitta, S., & Huynh, V. N. (2018). An ensemble model of arima and ann with restricted boltzmann machine based on decomposition of discrete wavelet transform for time series forecasting. Journal of Systems Science and Systems Engineering, 27, 690-708.
Maitreesorasunte, C., Tang, J., Chaysiri, R., Jeenanunta, C., Pannakkong, W., Vitharana, H., & Parthanadee, P. (2018, July). Forecasting self-consumption solar power capacity of industry and business sector in Thailand: a system dynamic model. In 2018 2nd International Conference on Engineering Innovation (ICEI) (pp. 111-116). IEEE.
Saophan, M. P., & Pannakkong, W. (2018). Forecasting solar power for self-consumption of households in Thailand using system dynamics model (Doctoral dissertation, Thammasat University).
CONFERENCE PAPERS
Chayaporn Maitreesorasunte; Jing Tang; Rujira Chaysiri; Chawalit Jeenanunta; Warut Pannakkong; Hashini Vitharana; Parthana Parthanadee (2018). Forecasting self-consumption solar power capacity of industry and business sector in Thailand: a system dynamic model. In Proceedings of the 2nd International Conference on Engineering Innovation (ICEI 2018), 5-6 July 2018, Bangkok, Thailand, pp. 111-116.
Warut Pannakkong; Pakkaporn Saophan; Rujira Chaysiri; Jing Tang; Jirachai Buddhakulsomsiri; Parthana Parthanadee; Chawalit Jeenanunta; Hashini Vitharana (2018). Forecasting solar power for self-consumption of households in Thailand using system dynamics model. In Proceedings of the 23rd Asia-Pacific Decision Science Institute International Conference (APDSI 2018), 16-20 July 2018, Bangkok, Thailand, pp. 264-271.
Fachrizal, Muhammad; Jing Tang; Rujira Chaysiri; Chawalit Jeenanunta; Jirachai Buddhakulsomsiri; Warut Pannakkong; Parthana Parthanadee (2018). Geo-demographic segmentation of residential solar photovoltaic users and non-users in Thailand. In Proceedings of the 23rd Asia-Pacific Decision Science Institute International Conference (APDSI 2018), 16-20 July 2018, Bangkok, Thailand, pp. 198-207.
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