Published August 2018 | Version v1
Journal article

Mission abort policy balancing the uncompleted mission penalty and system loss risk

  • 1. The Israel Electric Corporation, Haifa (Israel)
  • 2. Collaborative Autonomic Computing Laboratory, School of Computer Science, University of Electronic Science and Technology of China (China)
  • 3. ITMO University, 49 Kronverkskiy pr., St. Petersburg 197101 (Russian Federation)
  • 4. University of the Free State, Bloemfontein (South Africa)

Description

Highlights: • Mission abort policy for systems working in random environment is considered. • The mission is aborted when mth shock occurs before time ξ since the mission start. • A tradeoff between expected costs of system loss and uncompleted work is analyzed. • Algorithm for optimal choice of the decision variables m and ξ is suggested. Mission abort policy is an effective tool for enhancing survivability of many real-world systems when a failure during a mission results in a substantial economic loss. When continuation of a mission is associated with high risks, its primary task can be aborted and a rescue procedure can be initiated to enhance survivability, and therefore, to decrease losses. When the uncompleted tasks for the aborted mission are associated with monetary losses, the tradeoff between the possible losses associated with the uncompleted mission and with the system failure should be balanced. In this paper, we develop a methodology for evaluating the expected uncompleted fraction of a mission and survivability of systems experiencing both internal failures and external shocks. We consider a policy when a mission is aborted and a rescue procedure is activated if the mth shock occurs before time ξ since the mission start. Then we demonstrate the tradeoff between the probability of a system loss and the expected uncompleted fraction of a mission and formulate the corresponding problem of the optimal choice of the decision variables m and ξ. An illustrative example of a mission performed by an unmanned aerial vehicle is presented.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.ress.2018.04.013

Additional details

Identifiers

DOI
10.1016/j.ress.2018.04.013;
PII
S095183201731058X;

Publishing Information

Journal Title
Reliability Engineering and System Safety
Journal Volume
176
Journal Page Range
p. 194-201
ISSN
0951-8320
CODEN
RESSEP

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
52112422
Subject category
S42: ENGINEERING;
Descriptors DEI
ALGORITHMS; FAILURES; HAZARDS; UNMANNED AERIAL VEHICLES
Descriptors DEC
AIRCRAFT; MATHEMATICAL LOGIC

Optional Information

Copyright
Copyright (c) 2018 Elsevier Ltd. All rights reserved.