Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/5333
Title: Anticipating High Demand Class IX Supplies in the Western Pacific Area of Operations
Authors: Patrick Dosono
William Meagher
Jeka Talaa
Keywords: Markov chain
class IX
CBM+
GCSS-MC
Issue Date: 27-Feb-2025
Publisher: Acquisition Research Program
Citation: APA
Series/Report no.: Acquisition Management;NPS-AM-25-280
Abstract: The thesis focuses on predicting high-demand class IX items for MARFORPAC by analyzing maintenance and requisition data over multiple fiscal years. We apply a Markov chain model to examine failure patterns across subassembly systems of a specific assets; this model will provide a descriptive analysis to examine the maintenance history by identifying the primary defects that have caused failures within a given major end item. We will then apply this model to help us understand how the probabilities of one failure in a subassembly can lead to failures in another, allowing us to predict future breakdowns based on historical data. By identifying these failure sequences, we aim to provide a framework for MARFORPAC units to leverage predictive analytics in distributed and contested environments.
Description: Acquisition Management / Graduate Students
URI: https://dair.nps.edu/handle/123456789/5333
Appears in Collections:NPS Graduate Student Theses & Reports

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NPS-AM-25-280.pdfStudent Thesis4.94 MBAdobe PDFView/Open
Student Research Poster_Dosono_Meagher_Talaa.pdfStudent Poster447.1 kBAdobe PDFView/Open


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