Innovative Research Award
Hui-Ling Yang
HungKuang University, Taiwan
Hui-Ling Yang is a researcher affiliated with HungKuang University, Taiwan, whose documented scholarly work addresses inventory control and quantitative supply-chain decision making. Her Scopus record reports 29 documents, 1,501 citations, and an h-index of 19, providing a bibliometric basis for recognition within an inventory-control research context today and professionally.
Abstract
Hui-Ling Yang, affiliated with HungKuang University in Taiwan, is identified in the supplied profile as an inventory-control researcher with 29 documents, 1,501 citations, and an h-index of 19. Her recent scholarship applies mathematical modeling and optimization to replenishment, pricing, deterioration, storage, trade credit, and discounted cash-flow conditions effectively today. Published studies examine high-tech product demand under non-instantaneous deterioration and advance-cash-credit payments, as well as pricing optimization involving integrated storage and credit constraints. These works provide quantitative frameworks for evaluating inventory policies and financial outcomes under complex operational conditions. The documented research profile supports consideration for the Innovative Research Award.
Keywords
- Inventory Control
- Supply Chain Management
- Mathematical Optimization
- Replenishment Strategy
- Pricing Optimization
- Trade Credit
- Discounted Cash Flow
- Inventory Deterioration
Introduction
Inventory control research integrates replenishment, pricing, storage, deterioration, financing, and demand considerations to support efficient supply-chain decisions. Yang’s recent publications examine these dimensions through mathematical optimization and discounted cash-flow analysis. Her studies address high-tech product demand and integrated storage and credit constraints, connecting operational decisions with financial performance. [1] [2]
Research Profile
Yang’s research profile is centered on inventory control, with recent work published in Mathematics. Her studies investigate non-instantaneous deterioration, ramp-type demand, advance-cash-credit payment schemes, storage limitations, partial trade credit, and pricing decisions. These themes demonstrate a quantitative orientation toward modeling inventory systems under operational and financial constraints in practice today. [1] [2]
Research Contributions
Yang’s documented contributions include developing replenishment and pricing models that combine demand behavior, deterioration, storage capacity, trade credit, and discounted cash-flow considerations. Her research also evaluates optimal policies through numerical and sensitivity analyses, offering structured approaches for examining how operational parameters and financial conditions influence inventory decisions and profitability systematically. [1] [2]
Publications
Two documented publications provide a focused view of Yang’s recent research direction. The 2024 Mathematics article examines replenishment for high-tech products with non-instantaneous deterioration and advance-cash-credit payments. The 2026 Mathematics article addresses pricing optimization with integrated storage and credit constraints, extending inventory analysis toward broader supply-chain financial considerations for decisions. [1] [2]
Research Impact
The reported research contributes to inventory-control scholarship by connecting mathematical optimization with practical supply-chain variables, including deterioration, pricing, storage, payment timing, and credit conditions. The studies provide analytical and numerical frameworks that can support managerial evaluation of replenishment and pricing policies, particularly where operational constraints interact with financial considerations. effectively. [1] [2]
Award Suitability
The Innovative Research Award is academically relevant to Yang’s documented profile because her recent work demonstrates sustained engagement with inventory-control problems and quantitative optimization. Her Scopus metrics indicate a substantial publication and citation record, while her peer-reviewed studies provide research contributions in replenishment, pricing, storage, deterioration, and supply-chain finance effectively. [1] [2]
Conclusion
Hui-Ling Yang’s documented research profile combines inventory control with mathematical modeling of complex supply-chain conditions. Her recent publications address complementary problems involving replenishment, pricing, deterioration, storage, credit, and cash-flow considerations. Together with the reported Scopus metrics, this body of work provides a clear scholarly basis for Innovative Research Award recognition. [1] [2]
External Links
References
- Yang, H.-L., Chang, C.-T., & Tseng, Y.-T. (2025). Pricing optimization for inventory with integrated storage and credit constraints. Mathematics, 14(1), 163.
https://www.mdpi.com/2227-7390/14/1/163
- Yang, H.-L., Chang, C.-T., & Tseng, Y.-T. (2024). 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. Mathematics, 12(19), 3160.
https://www.mdpi.com/2227-7390/12/19/3160