Strategies for Improving Labor and Equipment Data Acquisition for the Heidelberg Directorate of Engineering and Housing

Abstract

The U.S. Army Construction Engineering Laboratory (USACERL) has surveyed multiple DEH organizations and the current state of computer technology to identify strategies for addressing L&E data acquisition problems at Heidelberg. This report summarizes the findings and makes specific recommendations. The major recommendation is to pursue pilot testing and implementation of push-button station technology. Together, the hardware and software components of this technology offer entry method options (pushbuttons, keyboard, barcodes), ability to screen for incorrect data, and meaningful reporting. Reasonable implementation costs, strong vendor support, high likelihood of acceptance, and the promise of notable return on investment strongly support this recommendation. It is also proposed to implement an educational program on the purpose, importance, and benefits of correct L&E data submission, including interim improvement of the current manual system and expansion of microcomputer networks for improved distribution of data, communications, and problem resolution. A scanner test in progress at Grafenwoehr and barcode research at USACERL should be reviewed when the results become available. Preparation for the fielded IFS-M is also recommended.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1991
Accession Number
ADA231632

Entities

People

  • Roger Day
  • Wayne Schmidt

Organizations

  • Construction Engineering Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Addressing
  • Application Software
  • Computer Programming
  • Computer Programs
  • Computers
  • Control Systems
  • Data Acquisition
  • Electronic Mail
  • Engineering
  • Engineers
  • Failure Mode And Effect Analysis
  • Liquid Crystal Displays
  • Local Area Networks
  • Network Protocols
  • Personal Computers
  • Push Buttons

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Facility/Structural Engineering.
  • Systems Analysis and Design