activity
20072024
most citedSingularly perturbed Markov chains: Limit results and applications

32 citations · 64 across the 7 of their papers we have counts for

collaborators

7 papers

math.OC2024

On Substochastic Inverse Eigenvalue Problems with the Corresponding Eigenvector Constraints

Yujie Liu, Dacheng Yao, Hanqin Zhang

We consider the inverse eigenvalue problem of constructing a substochastic matrix from the given spectrum parameters with the corresponding eigenvector constraints. This substochas…

math.OC2024

Partial Backorder Inventory System: Asymptotic Optimality and Demand Learning

Andrew E. B. Lim, Zhao-Xuan Wei, Hanqin Zhang

We develop a stochastic inventory system which accounts for the limited patience of backlogged customers. While limited patience is a feature that is closer to the nature of unmet…

math.OC2019

Impulse Control with Discontinuous Setup Costs: Discounted Cost Criterion

Fen Xu, Dacheng Yao, Hanqin Zhang

This paper studies a continuous-review backlogged inventory model considered by Helmes et al. (2015) but with discontinuous quantity-dependent setup cost for each order. In particu…

math.PR2016★ 2 cited

Fluid Models of Parallel Service Systems under FCFS

Yuval Nov, Gideon Weiss, Hanqin Zhang

We study deterministic fluid approximations of parallel service systems operating under first come first served policy (FCFS). The condition for complete resource pooling is identi…

math.OC2015★ 29 cited

Optimal Ordering Policy for Inventory Systems with Quantity-Dependent Setup Costs

Shuangchi He, Dacheng Yao, Hanqin Zhang

We consider a continuous-review inventory system in which the setup cost of each order is a general function of the order quantity and the demand process is modeled as a Brownian m…

math.PR2012★ 1 cited

A Unified Approach to Diffusion Analysis of Queues with General Patience-time Distributions

Junfei Huang, Hanqin Zhang, Jiheng Zhang

We propose a unified approach to establishing diffusion approximations for queues with impatient customers within a general framework of scaling customer patience time. The approac…