Input-Output Analysis in Navy Manpower Planning.

Abstract

In large-scale organizations having a variety of outputs or products, many units within the organization perform primarily a support function. Changes in outputs or activity levels of individual units cause second and higher order effects throughtout the system, resulting in a substantial impact on aggregate resource requirements. This report focuses on the issues involved in using intra-organization input-output models as a way of evaluating these influences. A simplified model of the Eleventh Naval District using 28 sectors was developed. Because of the size and complexity of the Navy support systems, problems of decomposition and aggregation take on special importance. The use of impact matrices as a basis for decomposition is illustrated. Analysis indicates that the district can be decomposed geographically. The implications of this result for data collection and the development of solution algorithms are discussed. Finally, a number of possible applications of the I/0 model are described. These include determining the impact of changes in output or final activity levels, determining the effect of changes in the mix or the location of outputs, and using the model to determine feasible solutions to a budget constrained problem. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1977
Accession Number
ADA038764

Entities

People

  • Raymond E. Willis
  • Stephen W. Sorensen

Organizations

  • Bureau of Naval Personnel

Tags

Communities of Interest

  • Biomedical
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Algorithms
  • Business Administration
  • Economic Systems
  • Economics
  • Human Resources
  • Military Personnel
  • Military Research
  • Money
  • Naval Air Stations
  • Naval Shore Facilities
  • Social Sciences
  • Students
  • Training
  • United States

Readers

  • Computer Science.
  • Economics
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.