Forecasting Contracting Workload

Abstract

This study explored the possibility of forecasting DLA contracting workload from indicators of Service activity. The premise of this analysis is that DLA's contracting workload is somehow related to Service activity -- an increase in Service activity will lead to a corresponding increase in DLA workload. We examined the use of regression analysis and mathematical modeling for forecasting DLA workload. We found that we could not forecast DLA's contracting workload directly from Service activity (given the variables we examined). We were able to forecast DLA's supply operations workload (expressed by item demand) from Service activity in some cases. Then, we could forecast some of DLA's stocked item contracting workload indirectly by using the forecasts of item demand, but we were unable to forecast any of DLA's nonstocked contracting workload. Based upon the inability to accurately forecast DLA's contracting workload from Service activity, we recommend continued use of DLA's current workload forecasting techniques. Keywords: Forecasting, Contracting, Workload, Federal budgets, Defense Logistics Agency.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1989
Accession Number
ADA211935

Entities

People

  • Kurt F. Schwarz
  • Thomas L. Brooks Iv

Organizations

  • Defense Logistics Agency

Tags

Communities of Interest

  • Biomedical
  • Human Systems

DTIC Thesaurus Topics

  • Budgets
  • Contracts
  • Control Systems
  • Data Science
  • Economic Analysis
  • Federal Budgets
  • Indicators
  • Information Science
  • Inventory
  • Inventory Control
  • Logistics
  • Mathematical Models
  • Operations Research
  • Procurement
  • Regression Analysis
  • Standards
  • Statistics

Fields of Study

  • Computer science

Readers

  • Logistics and Supply Chain Management.