Pharmaceutical Inventory Forecasting at the Wright-Patterson Medical Center.

Abstract

This research was conducted to determine the accuracy of statistical forecasting techniques forecasting the inventory of pharmaceutical items. Because pharmaceutical items are subject to a degree of seasonality of demand, the Director of Medical Logistics at the Wright-patterson Medical Center believed that the use of such techniques may provide a more accurate forecast for the items stocked by the Outpatient Pharmacy. In addition to the technique used by the Outpatient Pharmacy (the 12 month simple moving average) three statistical forecasting methods were employed: the 6 month simple moving average, simple exponential smoothing, and the Winter's exponential smoothing. These techniques were used to obtain forecasts, and the results were analyzed for measurement error. The Winter's exponential smoothing method prove superior in nearly all cases, and offers the best potential for use. jg p.13

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1995
Accession Number
ADA300974

Entities

People

  • Patrick J. Reymann

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Computer Programs
  • Computers
  • Data Analysis
  • Dermatologic Agents
  • Health Care
  • Health Services
  • Hospitals
  • Inventory
  • Inventory Control
  • Logistics
  • Logistics Support
  • Measurement
  • Medical Personnel
  • Pharmacies
  • Skin Diseases

Fields of Study

  • Medicine

Readers

  • Logistics and Supply Chain Management.
  • Medical or Health Care Field.
  • Statistical inference.