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Zhe George Zhang

Researcher at Western Washington University

Publications -  128
Citations -  4730

Zhe George Zhang is an academic researcher from Western Washington University. The author has contributed to research in topics: Queue & Queueing theory. The author has an hindex of 30, co-authored 127 publications receiving 3870 citations. Previous affiliations of Zhe George Zhang include Simon Fraser University & University of the Fraser Valley.

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An analysis of queueing systems with multi-task servers

TL;DR: Using the matrix analytic method, a new computational algorithm is provided for the stationary distributions of the queue length and waiting time and the conditional stochastic decomposition properties have been established for a Markovian queueing system with multi-task servers.
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A Periodic Replacement Model Based on Cumulative Repair-Cost Limit for a System Subjected to Shocks

TL;DR: This paper considers a periodic replacement model with minimal repair based on a cumulative repair-cost limit that is a generalization of several classical models in maintenance literature.
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Optimal replacement policy for a deteriorating system with increasing repair times

TL;DR: In this paper, an optimal maintenance policy for a practical and reparable deteriorating system subject to random shocks is proposed, where the repair time is modeled by a geometric process and the failure mechanism by a generalized delta-shock process.
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A context-aware knowledge map to support ubiquitous learning activities for a u-Botanical museum

TL;DR: This study presents a u-learning system that integrates context awareness and ontological technology to design a context-aware knowledge map (CAKM) to improve learning efficiency and enhances the usability of u- learning systems in the museum environment.
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Extended Optimal Replacement Policy for a Two-Unit System With Shock Damage Interaction

TL;DR: This paper considers a system consisting of two major units, A and B, each subject to two types of shocks that occur according to a non-homogeneous Poisson process, and determines the optimal policy of T and N* to minimize the s-expected cost per unit time.