What question did this study set out to answer?

This research aims to optimize defense procurement processes by leveraging predictive analytics and artificial intelligence to solve structural issues in procurement delays and cost overruns.

May 9, 2026Journal of the Korea Academia-Industrial cooperation SocietyOpen Access

A Study on Shortening Defense Procurement Period and Optimizing Cost through Predictive Analytics-based Artificial Intelligence (AI)

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Authors

MSMoo-Chang Shin

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Implication

Randomized trial demonstrates cost reduction and shorter procurement periods in defense systems, indicating significant efficiency improvements.

Key Points

This research aims to optimize defense procurement processes by leveraging predictive analytics and artificial intelligence to solve structural issues in procurement delays and cost overruns.
Applied predictive analytics using AI to analyze procurement bottlenecks in defense systems.
Developed decision-making models reflecting multi-step structures and rigidity in budget execution.
Validated results quantitatively through Monte Carlo simulations.
AI application reduced procurement time by an average of 16.5%.
Overall procurement costs were lowered by 11.9%.
Proposed a roadmap for implementing a defense data lake and administrative automation to support digital transformation.

Cite This Study

Moo-Chang Shin (2026) studied this question.

synapsesocial.com/papers/69fed071b9154b0b8287789f https://doi.org/10.5762/kais.2026.27.4.241

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Implication

Randomized trial demonstrates cost reduction and shorter procurement periods in defense systems, indicating significant efficiency improvements.

A Study on Shortening Defense Procurement Period and Optimizing Cost through Predictive Analytics-based Artificial Intelligence (AI)

Discussion

Member takes

Implication

Key Points

Cite This Study

A Study on Shortening Defense Procurement Period and Optimizing Cost through Predictive Analytics-based Artificial Intelligence (AI)

Discussion

Member takes

Implication

Key Points

Cite This Study

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