Final Summary Report for Contract Number N00014-83-K-0624 for the Period September 1, 1983 - September 30, 1985,
Abstract
In the study of complex large-scale systems, analysis aimed at obtaining exact answers becomes especially ineffective. Typically, the opportunity to study real systems depends upon the ready access to either closed-form answers or computer-based numerical routines. Various numerical procedures and approximation techniques have been used for deriving information on the major performance measures of stochastic systems. But, at this stage, the major point is that it is now realized that the ready availability of inexpensive and friendly computing is making it a lot easier to bring the theory much more into the mainstream of real-problem solution methods. We have had a particular interest in providing an assessment of the impact that recent advances in numerical procedures and their computer implementation may have on the effective application of probability methods in the modeling of dynamic, large-scale systems. Of special concern are three key classes of applications, namely, the operational modeling of large maintained systems of complex engineering equipments; stochastic models of network flows with potential queueing before processing; and special types of inventory models with random re-order leadtimes and replenishment processes. All of these three modeling environments require the wide-spread use of stochastic processes of a fairly general nature.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 1986
- Accession Number
- ADA165515
Entities
People
- Carl M. Harris
Organizations
- University of Virginia