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A Study on the Optimal Quantity of Initial Repair Parts under Performance-Based Logistics (PBL) Contracts in Initial Mass Production

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2025, 30(9), pp.165~170
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : August 6, 2025
  • Accepted : September 16, 2025
  • Published : September 30, 2025

Sunghoon Kim 1 Chae-Bong Sohn ORD ID 1

1광운대학교

Accredited

ABSTRACT

While traditional Performance-Based Logistics (PBL) contracts have primarily been applied during the operation and sustainment phase of weapon systems, in 2024, Korea initiated its first PBL contract from the initial mass production stage for certain defense acquisition programs. This marks a significant shift in the logistics support paradigm. One of the most critical factors in early-stage PBL contracts is determining the optimal quantity of initial repair parts to ensure system availability. Conventionally, initial spare parts budgets have been estimated at approximately 3% of the unit cost based on long-term sustainment experience. However, PBL contracts lack a defined standard for calculating appropriate initial inventories. To address this, this study proposes a method based on operational parameters detailed in the Operational Requirements Document (ORD), where the degree of operational scenario segmentation influences both the operational modes and the operation time of each component within the system’s Work Breakdown Structure (WBS). Using RAM-C (Reliability, Availability, Maintainability, and Cost) analysis tools, this research compares system operation modes before and after segmentation based on mission profiles. The results indicate that refining operational mode definitions can reduce initial spare parts costs by approximately 60%. These findings highlight that detailed analysis of operational modes and WBS-based component operation times, guided by ORD refinement, is crucial for accurately estimating the optimal quantity of initial repair parts during the system development phase.

Citation status

* References for papers published after 2024 are currently being built.