Faculty Member

Email : navee@siit.tu.ac.th

Phone Numbers : +66-2-986-9009, +66-2-986-9101, +66-2-564-3226

Phone Extension: 2104

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

• M.Sc. in Engineering Business Management, The University of Warwick, UK

• Ph.D. in Manufacturing Engineering and Operations Management, The University of Nottingham, UK

Cellular manufacturing systems (CMS), Advanced manufacturing systems, Systems simulation, Production planning and control, Sypply chain management.

Simulation Modelling and Analysis

Simulation is one of the most powerful analysis tools responsible for the design and operation of complex systems. Simulation involves the modelling of a process or system in such a way that the model mimics the response of the actual system to events that take place over time. The model can be used to predict future behaviour and the effects produced by changes in the systems or in its method of operation.

Cellular Manufacturing Systems (CMS)

CMS is another form of manufacturing system which applies the concept of group technology to provide some of the operational advantages of a flow shop while maintaining some of the strategic advantages of the job shop. Many research areas are involved in the concept including different types of cell formation and production planning for controlling the operation within and among the cells (inter-cell workload transfer).

Production Planning and Control (PPC)

Production planning uses the information from product and sales planning to plan the aggregate rates of production and the inventory levels. The objective of production planning is to provide sufficient finished goods in a period to meet the sales plan objectives while staying within financial and production capacity constraints. It is one of the richest areas that still requires further research.

Economic and Strategic Justification Methods

The main objective of justification processes is to justify an investment to see whether or not it is worth investing. However, in justifying new manufacturing technologies, traditional justification methods, with their overemphasis on short-term savings, cause these projects to be rejected while others fail to come up to expectation. Many forms of the integration of economic analysis which provides results in monetary terms with strategic analysis showing results from evaluator rating of his or her subjective feeling are an interesting area for further research.

• 1997-Present: SIIT

• 1996-1997: Deputy Managing Director, Parithas Utayan Nang-rong, Co., Ltd., Thailand

• 1993-1996: Researcher, Manufacturing Engineering and Operations Management Department, The University of Nottingham, England

• 1990-1991: Assistant Project Manager, Bangpakong Industrial Park2, Thailand

Teaching Courses

• Production Planning and Control

• Systems Simulation

• Factory Automation and Control Method

• Project Feasibility Study

• Material Management and Inventory Control

• Chiadamrong, N., & Wattanawarangkoon, T. (2023). Financial performance prediction model based on firms’ internal capability determinants: evidence from listed firms in Thailand during the transition period of going public. Cogent Engineering, 10(1), 2216860.

• Supsermpol, P., Thajchayapong, S., & Chiadamrong, N. (2023). Predicting financial performance for listed companies in Thailand during the transition period: A class-based approach using logistic regression and random forest algorithm. Journal of Open Innovation: Technology, Market, and Complexity, 9(3), 100130.

• Supsermpol, P., & Chiadamrong, N. (2023). Reverse Logistics Network Design with a 3-Phase Interactive Intuitionistic Fuzzy Goal Programming Approach: A Case Study of Covid-19 in Pathum Thani, Thailand. Engineering Journal, 27(7), 27-51.

• Chiadamrong, N., & Wattanawarangkoon, T. (2023). Financial performance prediction model based on firms’ internal capability determinants: evidence from listed firms in Thailand during the transition period of going public. Cogent Engineering, 10(1), 2216860.

• Wattanawarangkoon, T., Sinthupundaja, J., Suppakitjarak, N., & Chiadamrong, N. (2022). Examining internal capability determinants on firms' financial performance before and after going public: a case of listed firms in Thailand. Journal of Advances in Management Research, 19(3), 464-487.

• Chiadamrong, N., & Suthamanondh, P. (2022). Fuzzy multi-objective chance-constrained portfolio optimization under uncertainty considering investment return, investment risk, and sustainability. International Journal of Knowledge and Systems Science (IJKSS), 13(1), 1-39.

• Ji, J., & Chiadamrong, N. (2022). Integrating Mathematical and Simulation Approach for Optimizing Production and Distribution Planning With Lateral Transshipment in a Supply Chain. International Journal of Information Systems and Supply Chain Management (IJISSCM), 15(1), 1-30.

• Srizongkhram, S., Suthamanondh, P., Manitayakul, K., Shirahada, K., & Chiadamrong, N. (2022). Fuzzy Multi-Objective Portfolio Optimization Considering Investment Return and Investment Risk. International Journal of Fuzzy System Applications (IJFSA), 11(1), 1-35.

• Chiadamrong, N., & Sarnrak, N. (2021). Meta-prediction models for bullwhip effect prediction of a supply chain using regression analysis. International Journal of Information Systems and Supply Chain Management (IJISSCM), 14(4), 36-71.

• Chiadamrong, N., & Tangchaisuk, C. (2021). Hybrid simulation-based optimization for production planning of a dedicated remanufacturing system. International Journal of Knowledge and Systems Science (IJKSS), 12(3), 53-79.

• Srizongkhram, S., Chiadamrong, N., & Shirahada, K. (2021). Critical Success Factors in Adoption of Wearable Technology Devices for Seniors in Thailand. International Journal of Innovation and Technology Management, 18(04), 2150020.

• Nuamchit, K., & Chiadamrong, N. (2021). Using fuzzy linear programming to optimize inventory control policy in a hybrid manufacturing/remanufacturing system. Suranaree Journal of Science & Technology, 28(2).

• Srizongkhram, S., Chiadamrong, N., & Shirahada, K. (2021). Optimal Medical Inventory Policies for Medical Storage: a Case Study of a Medium-Sized Hospital in Thailand. Science & Technology Asia, 107-126.

• Cha-ume, N., & Chiadamrong, N. (2021). Maximising net present EVA for the design of a supply chain network using a hybrid analytical-simulation algorithm. International Journal of Logistics Systems and Management, 39(4), 491-518.

• Tuan, D. H., & Chiadamrong, N. (2021). A fuzzy credibility-based chance-constrained optimization model for multiple-objective aggregate production planning in a supply chain under an uncertain environment. Engineering Journal, 25(7), 31-58.

• Chiadamrong, N., & Sarnrak, N. (2021). Meta-prediction models for bullwhip effect prediction of a supply chain using regression analysis. International Journal of Information Systems and Supply Chain Management (IJISSCM), 14(4), 36-71.

• Sutthibutr, N., & Chiadamrong, N. (2021). Aggregate production planning using integrated fuzzy multi-objective optimization with α-cut analysis. Songklanakarin Journal of Science & Technology, 43(1).

• Tuan, D. H., & Chiadamrong, N. (2021). Solving an aggregate production planning problem by using interactive fuzzy linear programming. Asia-Pacific Journal of Science and Technology, 26(1).

• Sinthupundaja, J., Kohda, Y., & Chiadamrong, N. (2020). Examining capabilities of social entrepreneurship for shared value creation. Journal of Social Entrepreneurship, 11(1), 1-22.

• Sinthupundaja, J., Chiadamrong, N., & Kohda, Y. (2020). Knowledge acquisition from intra-and inter-organisational relationships, CSR and financial performance. International Journal of Knowledge Management Studies, 11(2), 190-209.

• Sinthupundaja, J., Kohda, Y., Chiadamrong, N., & Thajchayapong, S. (2020). Investigating business model innovation for sustainability: cases from Thailand. International Journal of Innovation and Sustainable Development, 14(3), 313-329.

• Thajchayapong, S., Chiadamrong, N., Sinthupundaja, J., & Kohda, Y. (2020). Influence of intra-and inter-organizational relationships on CSR and their impact on a hospital’s financial performance.

• Srizongkhram, S., Manitayakul, K., Suthamanondh, P., & Chiadamrong, N. (2020). Fuzzy chance-constrained integer programming models for portfolio investment selection and optimization under uncertainty. International Journal of Knowledge and Systems Science (IJKSS), 11(3), 33-58.

• Chiadamrong, N., & Sutthibutr, N. (2020). Integrating a weighted additive multiple objective linear model with possibilistic linear programming for fuzzy aggregate production planning problems. International Journal of Fuzzy System Applications (IJFSA), 9(2), 1-30.

• Thammatadatrakul, P., & Chiadamrong, N. (2019). Optimal inventory control policy of a hybrid manufacturing–remanufacturing system using a hybrid simulation optimisation algorithm. Journal of Simulation, 13(1), 14-27.

• Nuamchit, K., & Chiadamrong, N. (2019). Optimal inventory control policy of a hybrid manufacturing-remanufacturing system using a possibilistic linear programming approach. INTERNATIONAL SCIENTIFIC JOURNAL OF ENGINEERING AND TECHNOLOGY (ISJET), 3(1), 41-56.

• Sinthupundaja, J., Chiadamrong, N., & Kohda, Y. (2019). Complex relationships of internal and external capabilities on proactive CSR, social entrepreneurship, and competitive advantage (Doctoral dissertation, Thammasat University).

• Ji, J., & Chiadamrong, N. (2019). Hybrid analytical and simulation optimization approach for production and distribution supply chain planning. Asia-Pacific Journal of Science and Technology, 24(03).

• Sinthupundaja, J., Chiadamrong, N., & Kohda, Y. (2019). Internal capabilities, external cooperation and proactive CSR on financial performance. The Service Industries Journal, 39(15-16), 1099-1122.

• Sutthibutr, M. N., & Chiadamrong, N. (2018). Fuzzy multi-objective possibilistic linear programming for optimizing aggregate production planning in uncertain environments(Doctoral dissertation, Thammasat University).

• Srizongkhram, S., Shirahada, K., & Chiadamrong, N. (2018, August). Critical factors for adoption of wearable technology for the elderly: case study of Thailand. In 2018 Portland International Conference on Management of Engineering and Technology (PICMET) (pp. 1-9). IEEE.

• Cha-ume, K. and Chiadamrong, N. (2018). Meta-prediction model for introducing lateral transshipment policies in a retail supply chain network through regression analysis, European Journal of Industrial Engineering, Vol. 12, No. 2, 2018, pp. 199-232.