A TEST OF A STATISTICAL METHOD FOR COMPUTING SELECTED INVENTORY MODEL CHARACTERISTICS BY SIMULATION

Abstract

The design and operation of simulation models for studying management policies and other problems that involve complex systems of random variables are being studied. The present text is a companion piece to M. A. Geisler, "The Sizes of Simulation Samples Required to Compute Certain Inventory Characteristics with Stated Precision and Confidence", The RAND Corporation, RM-3242-PR, October, 1962. Special statistical methods were used in that study to compute the sample sizes for specified inventory models. In this study, the methods are tested by applying them to particular inventory cases, and determining how well the actual precision and confidence obtained in the estimates agreed with expectation.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1963
Accession Number
AD0406957

Entities

People

  • Murray A. Geisler

Organizations

  • RAND Corporation

Tags

DTIC Thesaurus Topics

  • Air Force
  • Complex Systems
  • Computational Science
  • Covariance
  • Data Science
  • Government Procurement
  • Information Science
  • Lead Time
  • Markov Processes
  • Mathematical Analysis
  • Precision
  • Procurement
  • Random Variables
  • Sampling
  • Simulations
  • Statistical Sampling
  • United States

Fields of Study

  • Mathematics

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Regression Analysis.