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Title: Statistics of mass production. Technical report, January 1, 1992--March 15, 1992

Abstract

Statistical Quality Control (SQC) is a broad term defining procedures that can be employed during production to insure that parts are produced having specified characteristics and performance. In developing complex systems of systems whose performance cannot be tested as entities, methods exist to identify components and subsystems whose failures, degradations, and variations most severely erect system level performance. Once identified, two methods may be employed to reduce or eliminate the system effects caused by such critical components - (1) design change employing such techniques as redundancy, proliferation, and spatial separation, and (2) component quality improvement. This paper summarizes the SQC methods and procedures that can be employed in mass producing electronic parts - ICs, SRAMs, buffers, capacitors, connectors - to reduce variability and insure performance to specified radiation, current, voltage, temperature, shock, and vibration levels. Producing such quality parts reduces uncertainties in performance and will aid materially in validating the survivability of components, subsystems, and systems to specified threats.

Authors:
;  [1]
  1. Kaman Sciences Corp., Colorado Springs, CO (United States)
Publication Date:
Research Org.:
Defense Nuclear Agency, Alexandria, VA (United States)
Sponsoring Org.:
Department of Defense, Washington, DC (United States)
OSTI Identifier:
10161021
Report Number(s):
DNA-TR-92-79
ON: DE93014451; CNN: Contract DNA-001-89-C-0080
Resource Type:
Technical Report
Resource Relation:
Other Information: PBD: 1 May 1993
Country of Publication:
United States
Language:
English
Subject:
45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE; 99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE; ELECTRONIC EQUIPMENT; PRODUCTION; QUALITY CONTROL; PERFORMANCE TESTING; STATISTICAL MECHANICS; NUCLEAR WEAPONS; 450200; 990200; NUCLEAR EXPLOSIONS AND EXPLOSIVES; MATHEMATICS AND COMPUTERS

Citation Formats

Williams, R L, and Gateley, W Y. Statistics of mass production. Technical report, January 1, 1992--March 15, 1992. United States: N. p., 1993. Web. doi:10.2172/10161021.
Williams, R L, & Gateley, W Y. Statistics of mass production. Technical report, January 1, 1992--March 15, 1992. United States. https://doi.org/10.2172/10161021
Williams, R L, and Gateley, W Y. 1993. "Statistics of mass production. Technical report, January 1, 1992--March 15, 1992". United States. https://doi.org/10.2172/10161021. https://www.osti.gov/servlets/purl/10161021.
@article{osti_10161021,
title = {Statistics of mass production. Technical report, January 1, 1992--March 15, 1992},
author = {Williams, R L and Gateley, W Y},
abstractNote = {Statistical Quality Control (SQC) is a broad term defining procedures that can be employed during production to insure that parts are produced having specified characteristics and performance. In developing complex systems of systems whose performance cannot be tested as entities, methods exist to identify components and subsystems whose failures, degradations, and variations most severely erect system level performance. Once identified, two methods may be employed to reduce or eliminate the system effects caused by such critical components - (1) design change employing such techniques as redundancy, proliferation, and spatial separation, and (2) component quality improvement. This paper summarizes the SQC methods and procedures that can be employed in mass producing electronic parts - ICs, SRAMs, buffers, capacitors, connectors - to reduce variability and insure performance to specified radiation, current, voltage, temperature, shock, and vibration levels. Producing such quality parts reduces uncertainties in performance and will aid materially in validating the survivability of components, subsystems, and systems to specified threats.},
doi = {10.2172/10161021},
url = {https://www.osti.gov/biblio/10161021}, journal = {},
number = ,
volume = ,
place = {United States},
year = {Sat May 01 00:00:00 EDT 1993},
month = {Sat May 01 00:00:00 EDT 1993}
}