Decision and Control Models in Operations Research

Abstract

The research concentrated on one major topic of investigation: Statistical properties of inventory models. The analysis dealt with comparing the operating characteristics of several important stockage rules when the underlying demand distribution parameters were estimated from a limited sample of historical data (say, 13, 26, or 52 observations). Particular attention was given to the frequently observed case where the probability of zero demand occurring within any time period was significantly large (hence, say, half of the historical observations indicated zero demand), but the positive levels of demand were not necessarily small. The context of the analyses was a large-scale inventory system containing thousands of individual items, and thus, the computational burden of implementing the stockage policies was recognized in the comparison of different stockage rules. The research approach encompassed applied Markovian probability analysis and computer simulation analysis containing sophisticated statistical autoregressive time series methods.

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Document Details

Document Type
Technical Report
Publication Date
Feb 27, 1976
Accession Number
ADA024190

Entities

People

  • Harvey M. Wagner

Organizations

  • Yale University

Tags

Communities of Interest

  • C4I
  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Artificial Intelligence
  • Computational Science
  • Computer Programs
  • Computer Simulations
  • Computers
  • Estimators
  • Inventory
  • Lead Time
  • Mathematical Analysis
  • Numbers
  • Probability
  • Probability Distributions
  • Simulations
  • Standards
  • Statistical Algorithms
  • Systems Engineering

Readers

  • Approximation Theory.
  • Maritime Combat Support and Expeditionary Logistics.
  • Operations Research