Department of Industrial Engineering and Management, Yuan Ze University

E-enterprise & production management lab

Chieh-Yuan Tsai
http://e-enterprise.iem.yzu.edu.tw/Eng_index.html

Research Field

Industrial Engineering and Management
Introduction

Chieh-Yuan Tsai is a professor in the Department of Industrial Engineering and Management at Yuan-Ze University, Taiwan. He received his M.S. and Ph.D. degrees in Department of Industrial and Manufacturing Systems Engineering from the University of Missouri-Columbia, USA. His research activities include data mining, deep learning, big data analysis, recommendation systems, and e-commerce technology and applications.

The primary research of this laboratory includes 1. Utilize data mining, machine learning, big data analysis, and web technology to assist industries in achieving digitalization and virtualization; 2. Study subjects related to production management and supply chain management, such as job scheduling and inventory control optimization.

Research Topics

Data mining, deep learning, big data analysis, recommendation systems, and e-commerce technology and applications.

Honor

Recent Publication

  • Yao, Liguo*, Yuan, Panliang, Tsai, Chieh-Yuan, Zhang, Taihua, Lu, Yao, and Ding, Shilin, 2023, “ESO: An enhanced snake optimizer for real-world engineering problems,” Expert Systems with Applications, Vol. 230, 120594. (15 November, 2023) [SCI] (IF: 8.665, 11/301, COMPUTER SCIENCE: COMPUTER SCIENCE APPLICATIONS)
  • Tsai, Chieh-Yuan*, Chen, Yu-Jen, Peña, Anthony Spence, Paniagua, Gerardo, 2023, “A visiting sequence recommendation framework: Enhanced by dynamic landmark and stay time,” Expert Systems with Applications, Vol. 230, 120662. (15 November, 2023) [SCI] (IF: 8.665, 11/301, COMPUTER SCIENCE: COMPUTER SCIENCE APPLICATIONS)
  • Lemus Leiva, William, Li, Meng-Lin, and Tsai, Chieh-Yuan*, “A Two-Phase Deep Learning-Based Recommender System: Enhanced by a Data Quality Inspector,” Applied Sciences, Vol. 11, No. 20, 9667. (November, 2021) [SCI] (IF: 2.679, 38/91, ENGINEERING, MULTIDISCIPLINARY)
  • Tsai, Chieh-Yuan*, Chiu, Yi-Fan, Chen, Yu-Jen, “A two-stage neural network-based cold start item recommender,” Applied Sciences, Vol. 11, No. 9, 4243. (May, 2021) [SCI] (IF: 2.679, 38/91, ENGINEERING, MULTIDISCIPLINARY)
  • Huang,Haisong,Yao,Liguo,Chang,Jyu-Shang,Tasi,Chieh-Yuan*,Kuo,R.2019,"Using product network analysis to optimize product-to-shelf assignment propblems,"Applied Sciences,Vol.9,No.8,1581.(April,2019)[SCI]
  • Kuo, R.J.*, Lin, T.C., Zulvia, F.E., Tsai, Chieh-Yuan, 2018, “A hybrid metaheuristic and kernel intuitionistic fuzzy c-means algorithm for cluster analysis,” Applied Soft Computing, Vol.67, pp. 299–308. (June, 2018) [SCI]
  • Tsai, Chieh-Yuan*, Li, Ming-Hong, Kuo, R. J., 2017, “A shopping behavior prediction system: considering moving patterns and product characteristics,” Computers & Industrial Engineering. Vol. 106, pp. 192–204. (April, 2017) [SCI]
  • Tsai, Chieh-Yuan*, Chang, Hui-Ting, and Kuo, Ren Jieh, 2017, “An ant colony based optimization for RFID reader deployment in theme parks under service level consideration,” Tourism Management, Vol. 58, pp. 1-14. (February 2017) [SSCI] (IF: 3.140)
  • Huang, Haisong, Yao, Liguo, and Tsai, Chieh-Yuan*, 2016, “Transportation service quality improvement through closed sequential pattern mining approach,” Cybernetics and Information Technologies, Vol. 16, No. 3, pp. 185-194. (September 2016) [EI]
  • Kuo, Ren-Jieh*, Mei, C.H., Zulvia, F.E., Tsai, Chieh-Yuan, 2016, “An application of a metaheuristic algorithm-based clustering ensemble method to APP customer segmentation,” Neurocomputing, Vol. 205, pp. 116–129. (September 2016) [SCI]
  • Tsai, Chieh-Yuan*, Huang, Sheng-Hsiang, 2015, “Integrating product association rules and customer moving sequential patterns for product-to-shelf optimization,” International Journal of Machine Learning and Computing, Vol. 5, No. 5. (October 2015) [EI]
  • Tsai, Chieh-Yuan*, Chen, Chih-Jung, 2015, “A PSO-AB Classifier for solving sequence classification problems,” Applied Soft Computing, Vol. 27, pp. 11–27. (February 2015) [SCI]
  • Tsai, Chieh-Yuan*, Bo-Han Lai, 2015, “A location-item-time sequential pattern mining algorithm for route recommendation,” Knowledge-Based Systems, Vol. 73, pp. 97–110. (January 2015) [SCI]
  • Tsai, Chieh-Yuan*, Huang, Sheng-Hsiang, 2015, “A data mining approach to optimize shelf-space allocation in consideration of customer purchase and moving behaviors,” International Journal of Production Research, Vol. 53, No. 3, pp. 850-866. (February 2015) [SCI]
  • Tsai, Chieh-Yuan*, Chen, Chih-Jung, and Lo, Yu-Ting, 2014, “A cost-based module mining method for the assemble-to-order strategy,” Journal of Intelligent Manufacturing, Vol. 25, No. 6, pp. 1377-1392. (December 2014) [SCI]
  • Kuo, Ren-Jieh*, Chen, S. S., Cheng, W. C., Tsai, Chieh-Yuan, 2014, “Integration of artificial immune network and K-means for cluster analysis,” Knowledge and Information Systems, Vol. 40, No. 3, pp 541-557. (September 2014) [SCI]
Educational Background
YearEducation
1999Ph.D., Industrial and Manufacturing Systems Engineering, University of Missouri-Columbia, USA
1995M.S., Industrial Engineering, University of Missouri-Columbia, USA
1992B.S., Mechanical Engineering, National Chung Hsing University, Taichung