Optimising Warship Lifecycle Value: A Real Options Approach

With diminishing budgets, rapid technological advancements and evolving operational requirements, it is crucial that effective cost and risk mitigation models are utilised in warship lifecycle management and upgrade planning. This research introduces and adapts a real options analysis model, the Black-Scholes formula, in an attempt to optimise decision-making and warship upgrade planning. Existing literature on the application of real options analysis faced limitations due to not adequately addressing the unique nature of naval assets or accounting for factors that did not directly translate from finance to warship upgrade planning. To account for these limitations, relevant variables in the Black-Scholes model are adapted for use in a naval setting.

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Published
2024-10-16
DOI
https://doi.org/10.1109/isse63315.2024.10741125
Primary Topic
Technology Assessment and Management
Type
article
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article

Optimising Warship Lifecycle Value: A Real Options Approach

B. Petersen, Mahmoud Efatmanesknik
Technology Assessment and Management
article

Optimising Warship Lifecycle Value: A Real Options Approach

B. Petersen, Mahmoud Efatmanesknik
article en

Abstract

With diminishing budgets, rapid technological advancements and evolving operational requirements, it is crucial that effective cost and risk mitigation models are utilised in warship lifecycle management and upgrade planning. This research introduces and adapts a real options analysis model, the Black-Scholes formula, in an attempt to optimise decision-making and warship upgrade planning. Existing literature on the application of real options analysis faced limitations due to not adequately addressing the unique nature of naval assets or accounting for factors that did not directly translate from finance to warship upgrade planning. To account for these limitations, relevant variables in the Black-Scholes model are adapted for use in a naval setting.

University of South Australia (AU)
Openalex Percentile: Top 76%
Technology Assessment and Management
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