Prof. Hui-Ling Yang | Inventory Control | Best Researcher Award
Scholar at HungKuang University, Taiwan
Prof. Hui-Ling Yang is a distinguished academic with extensive expertise in mathematics, statistics, and operations research. She holds a Ph.D. in Industrial Engineering from National Tsing Hua University, along with a Master’s and Bachelor’s degree in Mathematics from National Taiwan Normal University, Taiwan, ROC. Currently a Professor at HungKuang University, she has been a part of the institution since 1986, progressing through various roles. Her research focuses on inventory control, optimization strategies, and supply chain analytics. Prof. Yang has authored numerous journal articles and has been recognized in the Who’s Who in the World 25th Silver Anniversary Edition for her academic contributions.
Prof. Hui-Ling Yang has a strong academic foundation, with a Bachelor of Science degree in Mathematics and a Master of Science degree in Graduate Mathematics from National Taiwan Normal University, Taiwan, ROC. She further advanced her studies by earning a Ph.D. in Industrial Engineering from National Tsing Hua University, Taiwan, ROC. Her diverse educational background equips her with interdisciplinary expertise, which she applies effectively in her teaching and research in mathematics, statistics, and operations research.
Experience
Prof. Hui-Ling Yang has had a distinguished academic career spanning several decades at HungKuang University. She has served as a Professor since August 2004, following her tenure as an Associate Professor from February 2003 to July 2004. Prior to that, she held the position of Associate Professor at HungKuang Technology College from February 1998 to January 2003, and Lecturer from August 1997 to January 1998. Prof. Yang’s journey began as a Lecturer at HungKuang Junior College, where she contributed from August 1986 to July 1997. Her extensive teaching and research experience reflect her dedication to academia and her profound impact on her field.
Research Interests
Prof. Hui-Ling Yang’s research interests encompass a diverse range of topics in applied mathematics and operations research. Her expertise includes Mathematics, Statistics, and Operations Research, with a specialized focus on Inventory Control. She is particularly interested in developing optimal replenishment strategies and inventory models for deteriorating items, addressing fluctuating demand patterns, and exploring the impact of financial considerations such as advance cash-credit payment schemes and supplier credits. Her work integrates theoretical rigor with practical applications, offering innovative solutions to complex supply chain and inventory management challenges.
Skills
Prof. Hui-Ling Yang possesses a comprehensive skill set that spans Mathematics, Statistics, and Operations Research. Her expertise includes advanced analytical and problem-solving abilities, particularly in designing and optimizing inventory control models. She is proficient in formulating and solving complex mathematical models that address practical challenges in supply chain management. Additionally, Prof. Yang is skilled in conducting discounted cash-flow analyses, evaluating replenishment strategies, and integrating financial and operational decision-making. Her ability to bridge theoretical research with real-world applications highlights her strength in innovative and impactful academic contributions.
Publications
Optimal Replenishment Strategy for a High-Tech Product Demand with Non-Instantaneous Deterioration under an Advance-Cash-Credit Payment Scheme by a Discounted Cash-Flow Analysis
- Authors: H.-L. Yang, C.-T. Chang, Y.-T. Tseng
- Journal: Mathematics
- Volume: 12 (19), Article: 3160
- Year: 2024
- Citations: 0
An Optimal Replenishment Cycle and Order Quantity Inventory Model for Deteriorating Items with Fluctuating Demand
- Author: H.-L. Yang
- Journal: Supply Chain Analytics
- Volume: 3, Article: 100021
- Year: 2023
- Citations: 10
A Note on ‘A Two-Warehouse Partial Backlogging Inventory Model for Deteriorating Items with Permissible Delay in Payment under Inflation’
- Author: H.-L. Yang
- Journal: International Journal of Operational Research
- Volume: 45 (2), Pages: 141–160
- Year: 2022
- Citations: 2
EOQ-Based Pricing and Customer Credit Decisions under General Supplier Payments
- Authors: R. Li, H.-L. Yang, Y. Shi, J.-T. Teng, K.-K. Lai
- Journal: European Journal of Operational Research
- Volume: 289 (2), Pages: 652–665
- Year: 2021
- Citations: 25
Retailer’s Ordering Policy for Demand Depending on the Expiration Date with Limited Storage Capacity under Supplier Credits Linked to Order Quantity and Discounted Cash Flow
- Author: H.-L. Yang
- Journal: International Journal of Systems Science: Operations and Logistics
- Volume: 8 (2), Pages: 136–153
- Year: 2021
- Citations: 6
An Optimal Ordering Policy for Deteriorating Items with Partial Backlogging and Time Varying Selling Price and Purchasing Cost under Inflation
- Author: H.-L. Yang
- Journal: International Journal of Operational Research
- Volume: 31 (3), Pages: 403–419
- Year: 2018
- Citations: 5
An Inventory Model for Increasing Demand under Two Levels of Trade Credit Linked to Order Quantity
- Authors: J.-T. Teng, H.-L. Yang, M.-S. Chern
- Journal: Applied Mathematical Modelling
- Volume: 37 (14-15), Pages: 7624–7632
- Year: 2013
- Citations: 75
A Two-Warehouse Partial Backlogging Inventory Model for Deteriorating Items with Permissible Delay in Payment under Inflation
- Authors: H.-L. Yang, C.-T. Chang
- Journal: Applied Mathematical Modelling
- Volume: 37 (5), Pages: 2717–2726
- Year: 2013
- Citations: 90
Two-Warehouse Partial Backlogging Inventory Models with Three-Parameter Weibull Distribution Deterioration under Inflation
- Author: H.-L. Yang
- Journal: International Journal of Production Economics
- Volume: 138 (1), Pages: 107–116
- Year: 2012
- Citations: 82
Conclusion
Prof. Hui-Ling Yang’s extensive contributions to research, coupled with her impactful publications and recognition, make her a strong candidate for the Research for Best Researcher Award. Her work bridges theoretical advancements and practical applications in inventory and operations management, aligning perfectly with the award’s criteria.