• 沒有找到結果。

系統執行成效穩定之後就陸續展開到其他生產線,以達成全面之效。

結果與討論

本計畫已如期完成第三年度之所有工作目標,具體成效:

‧ 有9位碩士班學生參與研究計畫

‧ 學術成果部分已有2篇期刊論文刊出,2篇期刊論文審查中,另已發表5篇會議論文 已經刊出期刊論文

1. 王鵬森、楊大和*、陳怡如,營造業趕工計畫最佳化人力數量之研究,南台學報社會科學類 第 3 卷第 1 期 2018 年 6 月 55-72 頁。[通訊作者]

2. 潘宥亦、馬瀰嘉*、楊大和,急診室醫師排班問題之研究,智慧科技與應用統計學報,第 16 卷第 1 期,

2018 年 6 月 1-18 頁。

3. Liu, Y.-S., Tang, L.-N., Ma, Y.-Z., and Yang*, T., 2018, TFT-LCD module cell layout design using simulation and fuzzy multiple attribute group decision-making approach, Applied Soft Computing, Vol. 68, July, 873-888.

(SCI) [通訊作者]

4. Yang*, T. and Su, C.-T., 2018, The analysis of a factorial experiment with missing data using neural networks, Nihon University College of Economics Research Bulletin-Liberal Arts (日本大学経済学部「研究紀要」), No.

86, September, pp. 49-57. [通訊作者、第一作者]

5. Wang, P.S., Yang*, T. and Yu, L.C., 2018, Lean-pull strategy for order scheduling problem in a multi-site semiconductor crystal ingot-pulling manufacturing company, Computers & Industrial Engineering, Vol. 125, November, 545-562. (SCI) [通訊作者]

6. Yang*, T., Hung, Y.-H., Huang, G.-C., 2019, A simulation study on CONWIP system design for bicycle chain manufacturing, IFAC PapersOnLine, Vol. 52, No. 13, 2477–2481. [通訊作者、第一作者]

7. Yang*, T., Wen, Y., Hsieh, Z. and Zhang, J., 2020, A lean production system design for semiconductor crystal-ingot pulling manufacturing using hybrid Taguchi method and simulation optimization, Assembly Automation, Vol. 40, No. 3, May, pp. 433-445. (SCI) [通訊作者、第一作者]

8. Tang, L., Yang, T., Ma*, Y., Tu, Y., 2020, Supply chain information sharing under consideration of bullwhip effect and system robustness, Flexible Services and Manufacturing Journal, https://doi.org/

10.1007/s10696-020-09384-6 (SCI) 審查中期刊論文

9. Hong, C.-C., Yang*, T., and S.-Y. Lin, A study on the optimization of in-process inspection procedure for active pharmaceutical ingredients manufacturing process using hybrid Taguchi and TOPSIS methodology, submitted to Computers & Industrial Engineering. (SCI) [通訊作者]

10. Wang, P.-S., C.-C. Lin, and Yang*, T., A study on Shojinka design for automobile engine piston-rod manufacturing, submitted to Computers & Industrial Engineering. (SCI) [通訊作者]

11. Hung, Y.-H., G.-C. Huang, and Yang*, T., CONWIP pull system design for bicycle chain manufacturing, submitted to Computers & Industrial Engineering. (SCI) [通訊作者]

會議論文

12. Yang*, T., Wang, P.-S. and Chang, M.-C., 2018, A study on the cellular layout design problem for the Shojinka control problem for a TFT-LCD module assembly line, 2018 International Conference on Big Data and Internet of Things (BDIOT 2018), October 24-27, 2018, Peking, China. [通訊作者、第一作者]

13. Yang*, T., Hung, Y.-H., Huang, K.-C., 2019, Simulation optimization in solving the CONWIP pull system design problem from bicycle chain manufacturing, The 9th IFAC Conference MIM on Manufacturing

Modelling, Management and Control (MIM 2019), August 28-30, 2019, Berlin, Germany. [通訊作者、第一作 者]

14. Huang, T.-H. and Yang*, T., 2019, The development of an expert system for the control of industrial robots in bicycle manufacturing welding area, Proceedings of the 2019 International Symposium on Industry3.5 and Intelligent Manufacturing (Industry3.5), September 25 - 27, 2019, National Tsing Hua University, Hsinchu, Taiwan. (MOST-106-2221-E-006-162-MY3) (The Best Student Paper Award) [通訊作者]

15. Yang*, T. and Fujimoto, T., 2019, Digital manufacturing as design information flow, presentation to EAWIE 2019: The 6th East Asia Workshop on Industrial Engineering, November 20-23, 2019, National Taipei University of Technology, Taipei, Taiwan. [通訊作者、第一作者]

另外,也促成數件產學合作計畫,詳見個人資料表。

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表 Y04

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