A Conceptual Framework for Maintenance Decision-Making in a Defense System Based on Operational Readiness and Industrial Capacity

Firdah Dipi Juni Kurniawati; G. Royke Deksino; I.B. Putra Jandhana; Ade Muhammad; Sri Yanto; Sulfi Indriani

doi:10.63922/ijevss.v5i02.3109

Firdah Dipi Juni Kurniawati Defense Industry Study Program, Faculty of Defense Engineering and Technology, Indonesian Defense University, Indonesia
G. Royke Deksino Defense Industry Study Program, Faculty of Defense Engineering and Technology, Indonesian Defense University, Indonesia
I.B. Putra Jandhana Defense Industry Study Program, Faculty of Defense Engineering and Technology, Indonesian Defense University, Indonesia
Ade Muhammad Defense Industry Study Program, Faculty of Defense Engineering and Technology, Indonesian Defense University, Indonesia
Sri Yanto Defense Industry Study Program, Faculty of Defense Engineering and Technology, Indonesian Defense University, Indonesia
Sulfi Indriani Defense Industry Study Program, Faculty of Defense Engineering and Technology, Indonesian Defense University, Indonesia

DOI: https://doi.org/10.63922/ijevss.v5i02.3109

Keywords: Maintenance Decision-Making, Operational Readiness, Industrial Capacity, Defense Systems, Fuzzy AHP

Abstract

This study develops a conceptual framework for maintenance decision-making in the defense sector by considering two key dimensions, namely operational readiness and industrial capacity. In practice, decision-making related to maintenance in complex systems is influenced not only by technical aspects but also by various supporting factors, such as system reliability, spare parts availability, logistics readiness, human resource competence, industrial support, technological capability, maintenance costs, and supply chain capability. However, current approaches often have a limited scope and are insufficient in capturing the interdependencies among these factors. To address these limitations, this study proposes a framework based on Multi-Criteria Decision Making (MCDM) using the Fuzzy Analytic Hierarchy Process (FAHP). This approach was chosen because it can handle uncertainty and subjectivity in criterion assessment. The developed framework is expected to serve as a basis for establishing maintenance decision-making priorities in a more systematic manner and to provide direction for future empirical research.

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