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The System Complexity Metric (SCM) Predicts System Costs and Failure RatesA complex system has many parts and interactions and so is difficult to understand.
Systems with higher complexity generally have higher costs and failure rates. A System
Complexity Metric (SCM) is defined to be the sum of the number of nodes, N, in the system
block diagram plus the number of one-way interactions, I, between the nodes. SCM = N + I.
SCMs are easily determined by direct inspection of high level block diagrams of life support
systems. System cost was found to be directly proportional to SCM. The system MTBF (Mean
Time Before Failure) is the inverse of the system failure rate. MTBF = 1/f. The system MTBF
was found to be proportional to SCM^(-2.2) for estimated preflight MTBFs. As is typical for
systems that are not extensively tested and redesigned to eliminate unexpected failure modes,
the life support flight failure rates were about ten times higher than the preflight estimates
and the MTBFs one-tenth the preflight estimates. The system MTBF was found to be
proportional to SCM^(-2.6) for observed flight MTBFs.
Document ID
20205005154
Acquisition Source
Ames Research Center
Document Type
Conference Paper
Authors
Harry W. Jones
(Ames Research Center Mountain View, California, United States)
Date Acquired
July 27, 2020
Subject Category
Engineering (General)
Mathematical And Computer Sciences (General)
Report/Patent Number
ICES-2020-223
Meeting Information
Meeting: 50th International Conference on Environmental Systems (ICES)
Location: Virtual
Country: US
Start Date: July 12, 2021
End Date: July 14, 2021
Sponsors: Texas A&M University
Funding Number(s)
WBS: 089407.01.21.03
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
External Peer Committee
Keywords
System compleity
Cost prediction
reliability prediction
SCM
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