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Research in Engineering Design

, Volume 29, Issue 4, pp 589–603 | Cite as

Incorporating quantitative reliability engineering measures into tradespace exploration

  • Saikath Bhattacharya
  • Vidhyashree Nagaraju
  • Eric Spero
  • Anindya Ghoshal
  • Lance Fiondella
Original Paper
  • 63 Downloads

Abstract

Recently, tradespace analysis and exploration has emerged as an important focus area within the Department of Defense Engineered Resilient System initiative, which draws upon engineering concepts, science, and design tools to produce trusted and effective solutions for a wide range of operational contexts. Most of the previous research on tradespace analysis, including those developed for rotorcraft, emphasize performance. However, non-functional requirements such as reliability, availability, and maintainability have received minimal consideration, despite their direct influence on program level concerns such as operation and support as well as affordability. This paper proposes a strategy to incorporate reliability engineering into tradespace analysis. We also develop a subsystem-level reliability investment model that is illustrated through a simplified example. Our results suggest that reliability investment could achieve significant savings over a systems lifecycle, thereby enabling improved fleet availability and a larger fleet size.

Keywords

Tradespace exploration Reliability Availability Fleet size System lifecycle Operation Support cost 

Acronyms

AMSAA

Army material systems analysis activity

ARL

Army Research Laboratory

CATE

Capability assessment and trade-off environment

CAPE

Cost Assessment and Program Evaluation

CASA

Cost analysis and strategy assessment

DoD

Department of Defense

EFF

Essential Function Failure

ERS

Engineered Resilient System

FMC

Fully mission capable

FVL

Future vertical lift

JMR TD

Joint multi-role rotorcraft technology demonstrator

MATE

Multi-attribute tradespace exploration

MTBEFF

Mean time between essential function failure

MTTR

Mean time to repair

NDARC

NASA design and analysis of rotorcraft

NMC

Not mission capable

O[MYAMP

S] Operation and Support

RAM

Reliability, availability, and maintainability

SERC

Systems Engineering Research Center

TAAF

Test, Analyze, and Fix

TSE

Tradespace exploration

VDD

Value-driven design

Notations

A

Availability

\(A_{i}\)

Steady-state availability of subsystem i

B

Budget

\(B_{A}\)

Budget allocated to availability improvement

\(C_{i}\)

Cost of subsystem i replacements over system lifecycle

\(C_{0}\)

Cost of operating TAAF phase per unit time

\(C_{s}\)

Cost of n subsystems over system lifecycle

\(\texttt {CV}\)

Coefficient of variation of initial B-mode failures

F

Lambert Function

K

Total number of B-mode failures

L

Lifecycle duration

M

Mean time between essential function failures

\(P_{i}\)

Number of subsystem i replacements over system lifecycle

\(R_{i}\)

Reliability of subsystem i

\(c_{i}\)

Cost to replace subsystem i

d

Average fix effectiveness factor for all B-mode failure types, (\(d=\mu _{d}\)) for notational convenience

\(f_{\lambda }\)

Gamma distribution of initial B-mode failure rates

h

Unobserved B-mode failures

n

Number of subsystems

r(T)

System failure rate at time T

\(\gamma\)

Cost to achieve desired MTBEFF

\(\eta\)

Number of systems that can be supported

\(\lambda _{A}\)

Initial A-mode failure rate

\(\lambda _{B}\)

Initial B-mode failure rate

\(\mu _{b}\)

Average value of cost increment

\(\rho\)

Expected failure intensity

Notes

Acknowledgements

This research was supported by Cooperative Research and Development Agreement (ARL CRADA \(\#~14-30\)) for Multi Task Technology Transfer between the U.S. Army Research Laboratory and the University of Massachusetts Dartmouth, U.S. Army Research Laboratory through the National Institute of Aerospace (NIA) under Grant award number C15-2A00-UMASS, subaward activity number 2A69-UMASS, and a Summer Research Fellowship Program grant from the Office of the Provost at the University of Massachusetts Dartmouth, Dartmouth, Massachusetts, USA.

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Copyright information

© Springer-Verlag London Ltd., part of Springer Nature 2018

Authors and Affiliations

  • Saikath Bhattacharya
    • 1
  • Vidhyashree Nagaraju
    • 1
  • Eric Spero
    • 2
  • Anindya Ghoshal
    • 2
  • Lance Fiondella
    • 1
  1. 1.Electrical and Computer EngineeringUniversity of MassachusettsDartmouthUSA
  2. 2.U.S. Army Research LaboratoryAberdeen Proving GroundUSA

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