System reliability and Optimization
Research Field
Dr. Ding-Hsiang Huang received his Ph.D. degree in Engineering from the Department of Industrial Engineering and Management, National Yang-Ming Chiao-Tung University (NYCU) in June 2021. After receiving his Ph.D. degree, Dr. Huang joined the Department of Industrial Engineering and Enterprise Information at Tunghai University in 2022.
Dr. Huang’s research focuses on emerging areas and methods, including system reliability, optimization, soft computing, and machine learning. He applies these research methods to various practical systems, including smart manufacturing, sustainable development, supply chains, cloud computing networks, etc.
Dr. Huang also emphasizes the importance of programming in industrial engineering, explores the application of various emerging computational science methods to industrial engineering research, and explores the possibility of developing large-scale models for problems related to industrial engineering. So far, Dr. Huang has published more than twenty SCI-level journal papers and served several academic activities, conferences, and organizations.
The network analysis approach is a common technique for solving practical systems such as computer systems, telecommunication systems, power systems, logistics systems, manufacturing systems, and service systems. The classical network analysis methods introduced in operations research mostly set the factors of traffic, time, and cost in a deterministic mode. However, due to factors such as maintenance, failures, and some unexpected reasons, it makes sense from the customer's point of view to consider the capacity of the components in the network systems as stochastic. In addition, several practical factors are particularly important and need to be considered, such as time, capacity, and cost. The type of networks with stochastic capacities and practical factors is called stochastic-flow networks. The main objective of this research lab is to analyze a real system represented as a stochastic-flow network model, and then evaluate the network reliability of the system, which can be regarded as a system performance indicator for managers to make decisions. Besides, several methodologies and different fields are welcome to join our team and do research, such as linear programming, dynamic programming, machine learning, and so on.
System Reliability
Optimization
Machine Learning
Smart Manufacturing
1. 111th Annual Meeting and Symposium of the Chinese Society of Industrial Engineering, Best Paper Award, Evaluating Rescue Operations in terms of System Reliability under Consideration of Multi-Stage Travel Time due to Disasters, November 12, 2022.
2. 111th Annual Tau Phi Scholastic Honor Society, The Honorary Member of the Tau Phi Scholastic Honor Society of the Republic of China, 2022. 3. 2021 17th Annual Tau Phi Scholastic Honor Society of Taiwan, 2022.
3. 2021 The 17th Annual Meeting and International Conference of the Taiwan Society for Operations Research and the 19th Annual Management Symposium Best Paper Award (OR010), Time-related Network Reliability Evaluation, December 10, 2021.
4. 2021 Master and Doctoral Dissertation Competition, Taiwan Society for Operations Research, Best Paper of Doctoral Group, Network Reliability Evaluation for Stochastic-flow Computing Networks Considering Non-integer Demands, December 10, 2021. December 10, 2021. 5.
5. Fubon Management Doctoral Dissertation Award, Network Reliability Evaluation for Stochastic Cloud/edge-based Network, 21 August 07, 2021.
6. 110th Annual Yang Ming Jiaotong University Doctoral Program Outstanding Dissertation Award, A Novel Minimal Cut-based Algorithm to Find All Minimal Capacity Vectors for Multi-state Flow Networks, June 01, 2021.
7. 109th Annual Conference and Symposium of the Chinese Society of Industrial Engineering, Best Paper Award (Operational Research Applications II), Time-related Network Reliability Evaluation, November 21, 2020.
National Yang Ming Chiao Tung University, Hsinchu, Taiwan (Sep 2018-Jul 2021), Doctor of Engineering: Industrial Engineering and Management
National Taiwan University of Science and Technology, Taipei, Taiwan (Sep 2013-Jul 2015), Master of Business Administration: Industrial Management