The Use of Box-Jenkins Methodology in Forecasting DARCOM's Central Procurement Workload,

Abstract

This paper addresses the development of a time series model to forecast the central procurement workload in the U.S. Army Materiel Development and Readiness Command (DARCOM). The Box-Jenkins approach of Identification, Estimation and Diagnostic Checking is used to build a seasonal auto-regressive integrated moving average model (SARIMA) to forecast quarterly procurement actions (QPA), the procurement workload indicator. Models are developed using 60 and 61 data points from FY 65 through FY 79 to include 7T. Forecasted values are compared to actual values for FY 80, 81 and 82. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1983
Accession Number
ADP001579

Entities

People

  • Charles A. Correia

Tags

DTIC Thesaurus Topics

  • California
  • Data Science
  • Delphi Method
  • Experimental Design
  • Identification
  • Indicators
  • Information Science
  • Military Research
  • Procurement
  • Workload

Readers

  • Logistics and Supply Chain Management.