Relational Data Model for Management of Selected Items in the Army Logistics Operation.

Abstract

In order to effectively command and control the logistics of an army, the commander must know the status of his resources. The use of a data base can significantly increase his access to information regarding resource availability, location, and state of combat readiness. The DOA Headquarters level usually retains control and manages selected items of supply and maintenance operations. Mission essential, i.e., critical, items have been reflected in a data base supporting the following functions: army equipment status reporting, stockage in depots and general support level, maintenance floats for operational readiness and repair, war reserves, operational project stock levels, material acquisition and utilization, and contractor repair activities. The entity relationship model was used to unify different views of the data base for use with either a relational or a network data base model. The advantage of the entity-relationship model is that it avoids the decomposition process (normalization to 3NF) required for a relational model. Data in a form similar to 3NF relations with clear semantic meaning can be easily obtained.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1979
Accession Number
ADA081772

Entities

People

  • Yoon Chang Sup

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Application Software
  • Army Equipment
  • Business Administration
  • Combat Readiness
  • Command And Control
  • Computer Science
  • Contractors
  • Contracts
  • Database Management Systems
  • Logistics
  • Maintenance
  • Materials
  • Operating Systems
  • Operational Readiness
  • Relational Database Management Systems
  • Relational Databases

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Artificial Intelligence
  • Logistics and Supply Chain Management.

Technology Areas

  • Fully Networked C3
  • Fully Networked C3 - Command and Control