Asst.Prof.Dr. Siwaporn Kunnapapdeelert

Lecturer

Faculty of Logistics and Transportation Management

Panyapiwat Institute of Management

Email: siwapornkun@pim.ac.th

Tel: 0-2855-0708

Mobile: +66 64 159 9245

EDUCATION

Doctoral degree from School of Industrial and Manufacturing Engineering Asian Institute of Technology (AIT)

Master’s degree by research from School of Manufacturing Systems and Mechanical Engineering, Sirindhorn International Institute of Technology, Thammasat University (SIIT)

Bachelor degree from School of Manufacturing Systems and Mechanical Engineering (major in Manufacturing Engineering), Sirindhorn International Institute of Technology, Thammasat University (SIIT) (Second-class honors)

TEACHING COURSES

Information Technology for Logistics and Supply Chain Management

Multimodal Transportation

Special Topics in Logistics and Supply Chain Management

RESEARCH AREAS

Metaheuristics

Vehicle Routing Problem

Optimization

Logistics and Supply Chain Management

Technology Acceptance

LIST OF PLUBLICATIONS

Journal Publications

Kunnapapdeelert, S., Johnson, J. V., & Phalitnonkiat, P. (2022) Green Last-Mile Route Planning for Efficient E-commerce Distribution. Engineering Management in Production and Services, 14(1), 1-12

Pinudom, T., Kunnapapdeelert, S., Phalitnonkiat, P., & Na, M. S. J. (2022). The Factors Affecting Customer Loyalty of the Ride-Hailing Industry in Thailand. International Journal of Education, Business and Economics Research (IJEBER), 2(3), 56-70.

Research titled “The Impact of Supply Chain Capabilities and Supply Chain Vulnerabilities on Supply Chain Resilience and Competitive Advantage”

Pinudom, T., Phalitnonkiat, P., & Kunnapapdeelert, S. (2022). The study of Perspectives of Knowledge, Attitudes, Perceived Benefits, Risks, and Acceptance of the Covid-19 Vaccine. International Journal of Development Administration Research, 5(2), 19-35.

Kunnapapdeelert, S., & Pitchayadejanant, K. (2021). Analyzing the effect of supply chain strategies and collaboration on performance improvement using MIMIC model. International Journal of Industrial Engineering and Management, 12(3), 216 – 225.

Kunnapapdeelert S. and Thawnern C. (2021). Capacitated Vehicle Routing Problem for Thailand’s Steel Industry via Saving Algorithms. Journal of System and Management Sciences, 11(2), 171-181.

Kunnapapdeelert, S., & Thepmongkorn, S. (2020). Thailand port throughput prediction via particle swarm optimization based neural network. Journal of Applied Engineering Science, 18(3), 338-345.

Kunnapapdeelert, S., & Pitchayadejanant, K. (2020). Hybrid SEM-neural networks for predicting electronics logistics information system adoption in Thailand healthcare supply chain. International Journal of Business Performance and Supply Chain Modelling, 11(1), 54-68.

Phalitnonkiat, P., Kunnapapdeelert, S., & Pitchayadejanant, K. (2020). Behavioral Intentions of Radio Frequency Identification Users at Hospitals in Thailand. HUMAN BEHAVIOR, DEVELOPMENT and SOCIETY, 21(2), 30-39.

Kunnapapdeelert, S., & Klinsrisuk, R. (2019). Determination of green vehicle routing problem via differential evolution. International Journal of Logistics Systems and Management, 34(3), 395-410.

Kunnapapdeelert, S., & Kachitvichyanukul, V. (2018). New enhanced differential evolution algorithms for solving multi-depot vehicle routing problem with multiple pickup and delivery requests. International Journal of Services and Operations Management, 31(3), 370-395.

Kunnapapdeelert, S., & Thepmongkorn, S. (2017). Empirical study of E-procurement Adoption in Thailand. International Journal of e-Education, e-Business, e-Management and e-Learning (ISSN: 2010-3654 DOI: 10.17706/IJEEEE)

Kachitvichyanukul, V., Sombuntham, P., & Kunnapapdeelert, S. (2015). Two solution representations for solving multi-depot vehicle routing problem with multiple pickup and delivery requests via PSO. Computers & Industrial Engineering, 89, 125-136.

Prakasvudhisarn, C., Kunnapapdeelert, S., & Yenradee, P. (2009). Optimal cutting condition determination for desired surface roughness in end milling. The International Journal of Advanced Manufacturing Technology, 41(5-6), 440.

Kunnapapdeelert, S., & Prakasvudhisarn, C. (2007). Optimal sample size selection for torusity estimation using a PSO based neural network. Science & Technology Asia, 64-77.

Prakasvudhisarn, C., & Kunnapapdeelert, S. (2007). Torusity tolerance verification using swarm intelligence. Industrial Engineering & Management Systems, 6(2), 94-105.

Conference

Kunnapapdeelert, S., & Kachitvichyanukul, V. (2015). Modified DE algorithms for solving multi-depot vehicle routing problem with multiple pickup and delivery requests. In Toward Sustainable Operations of Supply Chain and Logistics Systems (pp. 361-373). Springer, Cham.

Kunnapapdeelert, S., & Kachitvichyanukul, V. (2013). Solving multi-depot vehicle routing problem with pickup and delivery requests via differential evolution. In Proceedings of the institute of industrial engineers Asian conference (pp. 749-756).

Kunnapapdeelert, S., & Kachitvichyanukul, V. (2013). Differential Evolution Algorithm for Generalized Multi-Depot Vehicle Routing Problem with Pickup and Delivery Requests. The Institute of Industrial Engineers Asian Conference 2013, July 2013.

Sombuntham, P., & Kunnapapdeelert, S. (2012). Benchmark problem instances for generalized multi-depot vehicle routing problems with pickup and delivery requests. In Proceedings of the 2012 Asia Pacific Industrial Engineering & Management Systems Conference (pp. 290-297).

Kunnapapdeelert, S., & Kachitvichyanukul, V. (2012). New mutation method for improving performance of artificial immune system algorithm. International Journal of Logistics and SCM Systems, Vol. 6, No. 1, November 2012, pp. 87-94.

Kunnapapdeelert, S., & Kachitvichyanukul, V. (2012). Improved artificial immune system for capacitated vehicle routing problem. The 7th International Congress on Logistics and Supply Chain Management Systems (ICLS 2012), Seoul Korea, June 7-9, 2012.

Kunnapapdeelert, S. & Prakasvudhisarn, C. (2006). Prediction of surface roughness in CNC endmilling by using support vector machines. In Proceedings of the Eighth International Conference on Industrial Management (ICIM’ 2006), 20-22 September 2006, Qingdao, China. pp. 346-351.

Prakasvudhisarn, C., & Kunnapapdeelert, S. Analysis of Minimum Zone Torusity Using Swarm Intelligence.In Proceedings of the 4th Asian Conference on Industrial Automation and Robotics (ACIAR 2005) [CD-ROM], 11-13 May 2005, Bangkok, Thailand. Paper No. F-45, 6 p.