Mathematical modelling of mission-abort policies: a review

Rodrigues, Augusto Jose da Silva, Cavalcante, Cristiano Alexandre Virginio, Alberti, Alexandre Ramalho, Scarf, Phil and Alotaibi, Naif Mohammed 2023. Mathematical modelling of mission-abort policies: a review. IMA Journal of Management Mathematics 34 (4) , pp. 581-597. 10.1093/imaman/dpad005

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Abstract

This paper reviews works that consider the mathematical modelling of mission-abort policies. In a mission-abort policy (MAP), a valuable, and perhaps vulnerable system performs a mission with two, sometimes conflicting objectives, mission success and system survival, and the purpose of modelling is to determine conditions under which a mission should be aborted. Such problems are important in defence, and emerging in transportation and health management. We classify models by: the nature of the mission and the system; the nature of the return or rescue; type of deterioration model; and the decision objectives. We show that the majority of works consider a model of a one system, one target mission in which the mission is aborted once the hazard of failure reaches a critical level and the operating environment is the same for the outbound and inbound parts of the mission. Typically, the hazard of failure depends on the number of shocks received so far. Our analysis indicates that there has been little modelling development for multiple systems that can multi-task and dependent systems with common-cause failures, for example. We find no evidence that MAPs are used in practice and no works reviewed develop software demonstrators. We think there is considerable scope for modelling applications in transportation (e.g. dynamic train re-scheduling, last-mile logistics) and medical treatments, and MAPs may be more general than the literature that we have reviewed suggests.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Schools > Business (Including Economics)
Subjects:	Q Science > QA Mathematics
Publisher:	Oxford University Press
ISSN:	1471-678X
Date of First Compliant Deposit:	15 May 2023
Date of Acceptance:	12 April 2023
Last Modified:	10 Nov 2024 16:45
URI:	https://orca.cardiff.ac.uk/id/eprint/159528

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