J
J. Michael Harrison
Researcher at Stanford University
Publications - 87
Citations - 16248
J. Michael Harrison is an academic researcher from Stanford University. The author has contributed to research in topics: Queueing theory & Heavy traffic approximation. The author has an hindex of 45, co-authored 86 publications receiving 15644 citations. Previous affiliations of J. Michael Harrison include University of Florida & University of Bristol.
Papers
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Journal ArticleDOI
Two-Moment Analysis of Open Queueing Networks with General Workstation Capabilities
J. Michael Harrison,Michael Pich +1 more
TL;DR: The QNET method for two-moment analysis of multiclass open networks is extended to allow complex workstations of various types and it is explained how the heavy traffic principle can be applied successfully under certain conditions, and shown by example that those conditions are not always met.
Journal ArticleDOI
On the virtual and actual waiting time distributions of a GI/G/ 1 queue
Journal ArticleDOI
Pointwise Stationary Fluid Models for Stochastic Processing Networks
TL;DR: A pointwise stationary fluid model is used to approximate system dynamics, which allows development of practical policies with a manageable computational burden and develops a PSFM calculus that is broadly accessible, with an emphasis on modeling and practical computation.
Book
Processing Networks : Fluid Models and Stability
Jim Dai,J. Michael Harrison +1 more
TL;DR: In this paper, the authors describe a broad class of system models that the authors call "stochastic processing networks" (SPNs), which include queueing networks and bandwidth sharing networks as prominent special cases.
Posted Content
Multi-Resource Investment Strategies: Operational Hedging Under Demand Uncertainty
TL;DR: In this article, the authors consider a firm that faces uncertain product demand and has the option to dynamically readjust its resource investment levels, thereby changing the capacities of its linear manufacturing process and the cost to adjust a resource level either up or down is assumed to be linear.