R, Q, Inventory Problem with Unknown Mean Demand and Learning (A Sequel)

Abstract

Report concerning management of new items for which only a Bayesian prior distribution on the mean is available. As demand occurs, the prior is updated and reorder point and reorder quantity are revised. In an earlier paper, a heuristic solution to finding an optimum reorder point was presented. This report introduces an alternative cost structure, discounted cash flow, and adapts the heuristic approach to this cost structure. It reports on the results of simulation using real world demand data, which proved favorable to this approach. It discusses a modification to current approaches for determining cost of backorder. This report was motivated by concern with management of low failure items. For such items the discounted cash flow structure is most appropriate.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1977
Accession Number
ADA045210

Entities

People

  • Alan J. Kaplan

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Business Administration
  • Computer Science
  • Databases
  • End Items
  • Engineering
  • Industrial Engineering
  • Inventory
  • Lead Time
  • Logistics
  • Logistics Management
  • Management Engineering
  • Obsolescence
  • Probability
  • Simulations
  • Standards
  • Uncertainty

Readers

  • Business Analytics
  • Logistics and Supply Chain Management.
  • Operations Research

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms