Faculty Member
DR. CHAWALIT JEENANUNTA
(ASSOCIATE PROFESSOR)
Deputy Director for Academic Affairs
CONTACT
Email : chawalit@siit.tu.ac.th
Phone Rangsit : +66-2-986-9009 ext 1105
Phone Bangkadi : +66-2-501-3505~20 ext 6000
Phone Extension : 1102
EDUCATION
B.S. in Computer Science, University of Maryland, USA
B.S. in Mathematics, University of Maryland, USA
M.S. in Management Science, University of Maryland, USA
Ph.D. in Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, USA
ACADEMIC AWARDS
Development and Promotion of Science and Technology Talents Project (DPST) Scholarship, 1990-2004.
RESEARCH AREAS
Linear programming, Integer programming, Network optimization, Simulation, Supply chain management.
RESEARCH INTERESTS
Large-Scale Simulation and Optimization
Many problems in the real world are large and complex. Researchers in this field are trying to improve the algorithm and utilize available computational technology such as parallelism or grid computing to solve such problems where their resulting models are also very large. This technology also enables researchers to have a detail model which is close to the real world problem. Some examples of these problems are transportation problem in the urban area (where there consists of millions of people driving on thousands of streets), financial simulation, bioinformatics, and large-scale planning.
Supply Chain Management (SCM)
The researches in SCM involve the study of the process of planning, implementing, and controlling the operations of the supply chain with the purpose of reducing cost and increasing efficiency. SCM includes all movement and storage of raw materials, work-in-process inventory, and finished goods from origin to consumption. There are many problems that can be modeled by simulation and optimization models.
WORK EXPERIENCES
2004-Present: SIIT
2005-2006: Consultant, Thailand Airport Ground Services, Thailand
2003-2004: Teaching Assistant for higher education program, Virginia Polytechnic Institute and State University, VA
2001-2004: Research Assistant, Virginia Polytechnic Institute and State University, VA
1999-2000: Consultant, Lampshade Company, NJ
1998-1999: Consultant, Otis Elevator, NY.
LIST OF PUBLICATIONS
INTERNATIONAL JOURNAL PUBLICATIONS
Jeenanunta, C. (2023). Pandemic Effect on the Industry 4.0 Readiness: A Case Study in Vietnamese Industry. Journal of Engineering, Project & Production Management, 13(3).
Truong, H. Q., & Jeenanunta, C. (2022). Fuzzy mixed integer linear programming model for national level monthly unit commitment under price-based uncertainty: A case study in Thailand. Electric Power Systems Research, 209, 107963.
Worawattawechai, T., Intiyot, B., Jeenanunta, C., & Ferrell Jr, W. G. (2022). A learning enhanced golden ball algorithm for the vehicle routing problem with backhauls and time windows. Computers & Industrial Engineering, 168, 108044.
Phyo, P. P., & Jeenanunta, C. (2022). Advanced ml-based ensemble and deep learning models for short-term load forecasting: Comparative analysis using feature engineering. Applied Sciences, 12(10), 4882.
Chumnumporn, K., Jeenanunta, C., Simpan, S., Srivat, K., & Sanprasert, V. (2022). The role of a leader and the effect of a customer's smart factory investment on a firm's industry 4.0 technology adoption in Thailand. International Journal of Technology, 13(1).
Tieng, K., Jeenanunta, C., Chea, P., & Rittippant, N. (2022). Roles of customers in upgrading manufacturing firm technological capabilities toward industry 4.0. Engineering Management Journal, 34(2), 329-340.
Intalar, N., Chumnumporn, K., Jeenanunta, C., & Tunpan, A. (2021). Towards Industry 4.0: digital transformation of traditional safety shoes manufacturer in Thailand with a development of production tracking system. Engineering Management in Production and Services, 13(4), 79-94.
Laisupannawong, T., Intiyot, B., & Jeenanunta, C. (2021). Improved Mixed-Integer Linear Programming Model for Short-Term Scheduling of the Pressing Process in Multi-Layer Printed Circuit Board Manufacturing. Mathematics, 9(21), 2653.
Ketudat, S., & Jeenanunta, C. (2021). Impact of the COVID-19 pandemic on logistics firms and their resilience: case studies in Thailand. Engineering Management in Production and Services, 13(3), 86-98.
Kaeo-Tad, N., Jeenanunta, C., Chumnumporn, K., Nitisahakul, T., & Sanprasert, V. (2021). Resilient manufacturing: Case studies in Thai automotive industries during the COVID-19 pandemic. Engineering Management in Production and Services, 13(3), 99-113.
Laisupannawong, T., Intiyot, B., & Jeenanunta, C. (2021). Mixed-integer linear programming model and heuristic for short-term scheduling of pressing process in multi-layer printed circuit board manufacturing. Mathematics, 9(6), 653.
Phyo, P. P., & Jeenanunta, C. (2021). Daily load forecasting based on a combination of classification and regression tree and deep belief network. IEEE Access, 9, 152226-152242.
Tieng, K., Javed, A., Jeenanunta, C., & Kohda, Y. (2021). Mechanisms for engineers to promote product and process innovation: Thai manufacturing context. International Journal of Management Practice, 14(2), 146-173.
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.
Kimseng, T., Javed, A., Jeenanunta, C., & Kohda, Y. (2020). Sustaining innovation through joining global supply chain networks: The case of manufacturing firms in Thailand. Sustainability, 12(13), 5259.
Kimseng, T., Javed, A., Jeenanunta, C., & Kohda, Y. (2020). Applications of fuzzy logic to reconfigure human resource management practices for promoting product innovation in formal and non-formal R&D firms. Journal of Open Innovation: Technology, Market, and Complexity, 6(2), 38.
Hnin, S. W., & Jeenanunta, C. (2020). A particle swarm optimised support vector regression for short-term load forecasting. International Journal of Energy Technology and Policy, 16(4), 399-412.
Sumetthapiwat, S., Intiyot, B., & Jeenanunta, C. (2020). A column generation on two-dimensional cutting stock problem with fixed-size usable leftover and multiple stock sizes. International Journal of Logistics Systems and Management, 35(2), 273-288.
Hnin, S. W., & Jeenanunta, C. (2019). Bayesian optimization in a support vector regression model for short-term electricity load forecasting. Engineering and Applied Science Research, 46(3), 267-275.
Phyo, P. P., Jeenanunta, C., & Hashimoto, K. (2019). Electricity load forecasting in Thailand using deep learning models. International Journal of Electrical and Electronic Engineering & Telecommunications, 8(4), 221-225.
Pongsathornwiwat, A., Jeenanunta, C., Huynh, V. N., & Udomvitid, K. (2019). How collaborative routines improve dynamic innovation capability and performance in tourism industry? A path-dependent learning model. Asia Pacific Journal of Tourism Research, 24(4), 281-295.
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.
Pongsathornwiwat, A., Jeenanunta, C., Huynh, V. N., & Udomvitid, K. (2019). Can collaborative relationship stimulate innovation capability and improve performance in the hospitality industry?. International Journal of Innovation and Learning, 26(3), 321-342.
Intalar, N., & Jeenanunta, C. (2019). Effects of customer’s investment in ICT on partners’ decisions through the supply chain: an empirical study of the manufacturing industry in Thailand. Asian Journal of Technology Innovation, 27(2), 239-256.
Phyo, P. P., & Jeenanunta, C. (2019). Electricity load forecasting using a deep neural network. Engineering and Applied Science Research, 46(1), 10-17.
Tieng, K., Jeenanunta, C., & Hsieh, W. L. (2019). The role of knowledge sharing approaches to help internal knowledge sources to create firm innovation. International Journal of Knowledge Management Studies, 10(2), 157-174.
Worawattawechai, T., Intiyot, B., & Jeenanunta, C. (2019). An artificial bee colony algorithm for the vehicle routing problem with backhauls and time windows. Songklanakarin Journal of Science and Technology, 41(1), 151-158.
Jeenanunta, C., & Abeyrathna, K. D. (2019). Neural network with genetic algorithm for forecasting short-term electricity load demand. Internation Journal of Energy Technology and Policy, 15(2-3), 337-350.
Abeyrathna, K. D., & Jeenanunta, C. (2019). Hybrid particle swarm optimization with genetic algorithm to train artificial neural networks for short-term load forecasting. International Journal of Swarm Intelligence Research (IJSIR), 10(1), 1-14.
Jeenanunta, C., Rittippant, N., Chongphaisal, P., Machikita, T., Ueki, Y., & Tsuji, M. (2018). Examining the role of top management leadership style on transportation efficiency and profitability of logistics firms. Songklanakarin Journal of Science & Technology, 40(6).
Phusittrakool, A., Jeenanunta, C., & Prathombutr, P. (2018). Effects of predictive horizon on network performance under short‐term predictive information. IET Intelligent Transport Systems, 12(2), 113-119.
Intalar, N., Jeenanunta, C., Rittippant, N., Chongphaisal, P., & Komolavanij, S. (2018). The role of quality control circles on new product development: A case study of Thailand. Quality Management Journal, 25(3), 129-141.
CONFERENCE PAPERS
Vexo, W., Jeenanunta, C., Chou, K., Tunpan, A., Sirimarnkit, N., Vong, T., & Thourn, K. (2023, January). Real-time Image Processing for Production Tracking in Manufacturing Plant. In 2023 Third International Symposium on Instrumentation, Control, Artificial Intelligence, and Robotics (ICA-SYMP) (pp. 77-82). IEEE.
Intalar, N., & Jeenanunta, C. (2022, November). Factors Affecting Acceptance of Dental Appointment Application among Users in Bangkok and Metropolitan Area. In 2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) (pp. 1-5). IEEE.
Deeluea, S., Jeenanunta, C., & Tunpun, A. (2022, November). Fault Prediction Model for Motor and Generative Adversarial Networks for Acceleration Signal Generation. In 2022 17th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP) (pp. 1-5). IEEE.
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.
Chayaporn Maitreesorasunte, Jing Tang, Rujira Chaysiri, Chawalit Jeenanunta, Warut Pannakkong, Hashini Vitharana, Parthana Parthanadee, Forecasting self-consumption solar power capacity of industry and business sector in Thailand: a system dynamic model, the 2nd International Conference on Engineering Innovation, Bangkok, Thailand, July 5-6, 2018 (ICEI 2018)
Chawalit Jeenanunta, Rujira Chaysiri, Laksmey Thong, Stock price prediction with long short-term memory recurrent neural network, 11th International Conference on Embedded Systems and Intelligent Technology in cooperation with The 9th International Conference on Information and Communication Technology for Embedded Systems , Khon Kaen, Thailand, May 7-9, 2018 (ICESIT 2018 and (IC-ICTES 2018)
Warut Pannakkong, Pakkaporn Saophan, Rujira Chaysiri, Jing Tang, Jirachai Buddhakulsomsiri, Parthana Parthanadee, Chawalit Jeenanunta, Hashini Vitharana, Forecasting solar power for self-consumption of households in Thailand using system dynamics model, 23rd Asia-Pacific Decision Science Institute International Conference, Bangkok, Thailand, July 16-20, 2018 (APDSI 2018)
Fachrizal, Muhammad, Jing Tang, Rujira Chaysiri, Chawalit Jeenanunta, Jirachai Buddhakulsomsiri, Warut Pannakkong, Parthana Parthanadee, Geo-demographic segmentation of residential solar photovoltaic users and non-users in Thailand, 23rd Asia-Pacific Decision Science Institute International Conference, Bangkok, Thailand, July 16-20, 2018 (APDSI 2018)
Violin Kongtarat, Chawalit Jeenanunta, Jirachai Buddhakulsomsiri, Inventory balancing in optimal order-up-to-level systems under power long lead time, 23rd Asia-Pacific Decision Science Institute International Conference, Bangkok, Thailand, July 16-20, 2018 (APDSI 2018)
Chawalit Jeenanunta, Chamroeun Chhun, Nhu Tran Phuong, Phatthareeya Srisakulpinyo, Thanyatorn Eiatim, Schedule planning using simulation integrated production system, 23rd Asia-Pacific Decision Science Institute International Conference, Bangkok, Thailand, July 16-20, 2018 (APDSI 2018)