Quality Assurance Resource Model

Abstract

This set of models uses workload indicators to equitably estimate the Quality Assurance Operations personnel resources needed at each DCMAO and DPRO. Regression Analysis is used to identify, and quantify, those logical workload indicators that have statistically valid correlations with the corresponding workhours from the Automated Payroll Cost and Accounting System (APCAPS). These APCAPS workhours include all QA Operations time less supervisory, clerical and leave hours. The DCMAO model is statistically more significant than the results for the DPRO models. The average error between the actual and estimated hours for DCMAOs is 12%. The three DPRO models average error is 9.2%. However, when applied to recent QA data as a test, the DCMAO model performed well and better than the DPRO models. The QUARM models set a uniform, analytical approach for the DLA Directorate of Quality Assurance, DLA Office of the Comptroller, District Commanders and District QA Directors to compare workloads and balance resources. Judicious use of the models, coupled with other analyses or field reviews can result in important cost savings. Regression analysis, Quality assurance, Personnel resourcing, Workload indicators.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1992
Accession Number
ADA256663

Entities

People

  • Alan R. Greve

Organizations

  • Defense Logistics Agency

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Budgets
  • Business Administration
  • Contractors
  • Contracts
  • Data Science
  • Databases
  • Department Of Defense
  • Economic Analysis
  • Indicators
  • Information Science
  • Management Personnel
  • Model Tests
  • Operations Research
  • Plastic Explosives
  • Regression Analysis
  • Statistics
  • Workload

Readers

  • Computational Modeling and Simulation
  • Defense Financial Management and Audit.
  • Military Logistics and Supply Chain Management