跳到主要內容區
:::
  1. 首頁
  2. English
  3. Faculty

施能輝

施能輝副教授 職稱： 副教授
學歷： 國立清華大學工業工程博士
研究領域： Statistical analysis；Project management；Big data
聯絡方式：
教學一館北棟518室(分機31618)
E-mail：shihnh@mail.nptu.edu.tw
學術著作

A.Journal Articles

  1.  Shih, N.H., Tsai, W.C. Wang, C. H. (2025), An inspection and production model with inspection errors. The Journal of Information and Optimization Sciences. ISSN 0252-2667 (Print), ISSN 2169-0103 (Online), DOI : 10.47974/JIOS-1425 (ESCI)

  2.  Shih, N.H., (2024), 實獲值管理、實獲排程管理與實獲工期管理之比較,專案管理學刊,4(1), p.1-16.

  3. Shih, N.H., Tsai. W. C. Wang, H. C., (2023), An Integrated Production and Inspection Model With a Heuristic Product Inspection Policy When Inspection Errors Exist, Universal Journal of Operations and Management 2(1).

  4. Shih, N.H., Shu, M. H., & Wang, C. H. (2019), The effect of full or partial pricing integration on supply chain management, 53, p.1807-1817, RAIRO Operations Research. (SCIE)

  5. Shih, N. H. & Liao, Y. S. & Wang, C. H. (2018). Determining an economic production quantity under a zero defects policy. Journal of the Operational Research Society, 69(8), p.1309-p.1317. Refereed. (SSCI, SCIE)

  6. Tsai, W. C. & Shih, N. H. & Wang, C. H. (2018). The effects of inspection delay and restoration cost on the optimal inspection and production policy. OPSEARCH,55(1), p.187-p.195. Refereed.(SCOPUS. ESCI)

  7. Shih, N. H. & Wang, C. H. (2016). Determining an optimal production run length with an extended quality control policy for an imperfect process. Applied Mathematical Modelling,40(4), p.2827-p.2836. (SCIE)

  8. Shih, N. H. (2015). The model identification of beta distribution based on quantiles. Journal of Statistical Computation and Simulation,85(10), p.2022-p.2032.(SCIE)

  9. Shih, N. H. & Wang, C. H. (2014). An inspection model of products and their input materials. Systems Science & Control Engineering, An Open Access Journal,2(1), p.297-p.307. Refereed.

  10.  Shih, N. H. & Wang, C. H. (2013). An Extended Production and Inspection Model with Nonrigid Demand. The Scientific World Journal,2013(1). (Scopus)

  11. Wang, C. H. & Shih, N. H. & Tsai, W. C. (2011). Utilizing the information theory of entropy to solve an off-line inspection problem. 4OR A quarterly journal of Operations Research,9(4), p.391-p.401,(SCIE).

  12. Shih, N. H. (2006). On the project scheduling under resource constraints. Journal of the Chinese institute of industrial engineers, 23(6), p.494-p.500. (EI).

  13.  Shih, N. H. (2003). Simulation of Stochastic Activity Networks and the Pseudo-Random Number Assignment Principle. Bulletin of National Pingtung Polytechnic Institute, 7, p.161-p.170. Refereed.

  14. Shih, N. H. (2005). Estimating the completion-time distribution in stochastic activity networks.  Journal of the Operational Research Society,56(6), p.744-p.749. (SSCI, SCIE)

  15. Wang, C. H. & Yang, D. L. & Wu, T. H. & Kuo, W. H. & Shih, N. H. (2003). Impact of Inspection errors on the lot size problem. Journal of Information and Optimization Science,25(2), p.331-p.348. Refereed.

  16.  Sheu, S. H. & Chen, W. Y. & Shih, N. H. (2003). Economic optimization of off-line inspection with inspection errors. Journal of the Operational Research Society, 54, p.888-p.895. (SCIE, SSCI).

  17. Shih, N. H. (2003). Suggestions for Estimating the Probable Time of Completion of the PERT Network. Bulletin of National Pingtung Polytechnic Institute,5, p.231-p.238. Refereed.

  18. Shih, N. H. (2002). The criticality indexes of stochastic networks。Bulletin of National Pingtung Polytechnic Institute,4, p.35-p.42. Refereed.

  19. Shih, N. H. (2002). Simulation of Maximum Flow in Multistate Networks. Journal of the Chinese Institute of Industrial Engineers,19(5) p.68-p.74. (EI).

  20. Shih, N. H. (2001). Simulation of a Discrete Random Activity Network. Bulletin of National Pingtung Polytechnic Institute,3, p.97-p.102. Refereed.

  21.  Shih, N. H. (2001). Simulation Algorithms for Multistate Networks. Bulletin of National Pingtung Polytechnic Institute,2, p.141-p148. Refereed.

  22.  Shih, N. H. (2001). A Monte Carlo Sampling Plan for Estimating Network reliability. Bulletin of National Pingtung Polytechnic Institute, p.133-p.140. Refereed.

  23. Shih, N. H. (1999). The sensitivity analysis of binary networks via simulation. European Journal of Operational Research, 114, p.602-p.609. (SCIE).

  24.  Song, W. & Shih, N. H. (1998). A modified Adaptive Importance Sampling Procedure to Estimate Multi-Gaussian Integral. International Journal of Operations and Quantitative Management,4, p.177-p.185. (SSCI).

  25. Shih, N. H. & Lin, J. S. (1998). A conditional simulation method for estimating the critical component of networks. Journal of Statistical Computation and Simulation,60, p.97-p.106. (SCIE).

  26.  Shih, N. H. & Song, W. (1996). Correlation-induction Variance Reduction in Regenerative Simulation. Operations Research Letter,19(1), p.17-p.235. (SCIE).

  27.  Shih, N. H. & Song, W. (1995). Robust Consideration of Importance Sampling in Digital Communication System. Journal of the Chinese Institute of Engineers,18(5), p.713-p.724. (EI).

  28. Shih, N. H. & Song, W. (1995). Estimating Simulation Metamodel using Correlated Controll Variates. Communication in Statistics, B, Simulation,24, p.79-p.91.(SCIE).

  29. Wu, B. & Shih, N. H. (1992). On the Identification Problem for Bilinear Time Series Model. Journal of Statistical Computation and Simulation,43, p.129-p.161. (SCIE).

B、Conference Proceedings

  1. Shih, N. H. (2004). Resource Allocation Strategies for Resource-Constrained Stochastic Activity Networks. National Science Council (NSC) Presentation of Results, Cheng Kung University, Taiwan.

  2. Shih, N. H. (2003). Simulation of a Discrete Random Activity Network. NSC Presentation of Results, Chiao Tung University, Taiwan.

  3. Shih, N. H. (2002). Resource Allocation Issues Related to Resource-Constrained Stochastic Activity Networks. NSC Presentation of Results, Central University, Taiwan.

  4. Shih, N. H. (2001). Simulation of Stochastic Activity Networks. NSC Presentation of Results, Chin-Yi University of Technology, Taiwan.

  5. Shih, N. H. (2001). On criticality of activities in stochastic networks with resource constrain. Chinese Institute of Industrial Engineers 2001 Annual Meeting and Academic Conference. I-Shou University, Taiwan.

  6. Shih, N. H. (1998). The Estimation of Reliabilty Importance for a Multistate Networks. Chinese Institute of Industrial Engineers 1998 Annual Meeting (p.940-p.946). Dayeh University, Taiwan.

  7. Shih, N. H. (1998). Importance Sampling of Maximum Flow in Multistate Model of Networks. Conference on Quantity Management Methods and Applications (p.122-p.128). Cheng Kung University, Taiwan.

  8. Sang, H. M., & Shih, N. H. (1998). Adaptive Importance Sampling for Estimating Gaussian Tail Probability. Conference on Quantity Management Methods and Applications (p.101-p.107). Cheng Kung University, Taiwan.

  9. Shih, N. H. (1998). Using the Monte Carlo Method to Estimate Internet Reliability. 1998 Discrete Systems Technology and Applications Conference. Cheng Kung University, Taiwan.

  10. Shih, N. H. (1997). The Sensitivity Analysis of Binary Networks via Simulation. Chinese Institute of Industrial Engineers (p.186-p.189). National Sun Yat Sen University, Taiwan.

  11. Song, W. & Yuan M. J. & Shih, N. H. (1997). Optimal Quadratic-Form Estimators of the Variance of the Sample Mean. 1997 winter simulation conference.

  12. Song, W. & Shih, N. H. (1997). Correlated Control Variates for Metamodel Estimation. Managing Services in the next millennium. INFO

  13. Sang, H. M., Shih, N. H., Yuan, M. C., & Chen, C. W. (1996). Simulation Output Information Analysis – Searching for the Optimal Quadratic Estimator. Chinese Institute of Industrial Engineers, p.984-p.987, Taipei, Taiwan.

  14. Shih, N. H. & Lin J. S. & Song, W. (1996). The reliability importance and the most vital arc of networks- a simulation approach. Chinese Institute of Industrial Engineers (p.978-p.983). Taipei, Taiwan.

  15. Song, W. & Shih, N. H. (1994). Importance Sampling Remedies in Digital Communication System. Proceeding of New Direction in Simulation for Manufacturing and Communications, p.326-p.329.

  16. Song, W. & Shih, N. H. (1994). Adaptive Importance Sampling with Truncated Gaussian Biasing Distribution. Proceeding of the Third Statistics Conference in Taiwan, p.46-p.62.

  17. Wu, B. & Shih, N. H. (1994). An indentification problem of the Simple Bilinear Time Series. 1991 Statistics Annual Conference. Zhongli, Taiwan.

C、Research Project

  1. Shih, N. H., 2004/08-2005/07, Resource Allocation Strategies for Resource-Constrained Stochastic Activity Networks, NSC Project, NSC93-2416-H-251-002, principal investigator.

  2. Shih, N. H., 2003/08-2004/07, The Promotion of Stochastic Activity Network Path Algorithms, NSC Project, NSC92-2416-H-251-001, principal investigator.

  3. Shih, N. H., 2002/08-2003/07, A Simulation of Discrete Stochastic Activity Networks, NSC Project, NSC91-2416-H-251-001, principal investigator.

  4. Shih, N. H., 2001/08-2002/07, Allocation Resource Issues Related to Resource-Constrained Stochastic Activity Networks, NSC Project, NSC90-2416-H-251-003, principal investigator.

  5. Shih, N. H., 2000/08-2001/07, A Simulation of Stochastic Activity Networks, NSC Project, NSC89-2416-H-251-011, principal investigator.

  6. Shih, N. H., A Simulation of Multi-State Network Flow Rates, NSC Project, NSC 89-2416-H-251-005, principal investigator.

  7. Shih, N. H., 1998/08-1999/07, Sensitivity Analysis of Internet Reliability, NSC Project, NSC 88-2416-H-251-004, principal investigator.

  8. Shih, N. H., 1997/08-1998/07, Estimating Critical Internet Parts and Components through Simulation, NSC Project, NSC 87-2213-E-251-004, principal investigator.

  9. Shih, N. H., 1996/08-1997/07, Using the Monte Carlo Method to Estimate Internet Reliability, NSC Project, NSC 86-2213-E-251-004, principal investigator.

  10.  Shih, N. H., 1996/08-1997/07, Pseudo-Random Number Assignment Strategies in the Same Simulated Stochastic Experiment, NSC Project, NSC-86-2213-E-007-014, principal investigator.

D、VOCATIONAL QUALIFICATION

  1. International Project Management Industry Lecturer, certificate no. 1050306, 2016/10/17
  2. Greenhouse Gas Auditor, ISO 14064-1:2018, AFNOR Asia Ltd. TC245-2023-01-15-17
  3. ESG Project Management by TPMA. TPMA-2024-ESGPM0004
  4. IPMA Delta Certificate, TPAM-DOC-1020036, 2013
  5. IPMA @ Level D. Certified Project Manager Associate
  6. IPMA Level C, Project Management Certified Trainer, 1030209, 2014
  7. IPMA Certified Project Management Associate, TPMA-2007-D01148, 04/08/2030
⬅
瀏覽數:
友善列印