Journal of the Korean Society of Systems Engineering (시스템엔지니어링학술지)

The Korean Society of Systems Engineering (한국시스템엔지니어링학회)
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A Study on the Repair Parts Inventory Cost Estimation and V-METRIC Application for PBL Contract

PBL 계약을 위한 수리부속 재고비용 예측과 V-METRIC의 활용에 관한 연구

  • Kim, Yoon Hwa (Dept. of Industrial & Systems Engineering, Changwon National University) ;
  • Lee, Sung Yong (Dept. of Industrial & Systems Engineering, Changwon National University)
  • 김윤화 (창원대학교 산업시스템공학과) ;
  • 이성용 (창원대학교 산업시스템공학과)
  • Received : 2017.05.10
  • Accepted : 2017.06.22
  • Published : 2017.06.30
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Abstract

For the PBL contract, it is necessary for the contracting parties to share information regarding the reasonable inventory-level and the cost of its repair parts for the estimated demand. There are various models which can be used for this purpose. Among them, V-METRIC model is considered to be the most efficient and is most frequently applied. However, this model is usually used for optimizing the inventory level of the repair parts of the system under operation. The model uses a time series forecast model to determine the demand rate, which is a mandatory input factor for the model, based on past field data. However, since the system at the deployment stage has no operational performance record, it is necessary to find another alternative to be used as the demand rate of the model application. This research applies the V-METRIC model to find the optimal inventory level and cost estimation for repairable items to meet the target operational availability, which is a key performance indicator, at the time of the PBL contract for the deployment system. This study uses the calculated value based on the allocated MTBF to the system as the demand rate, which is used as input data for the model. Also, we would like to examine changes in inventory level and cost according to the changes in target operational availability and MTBF allocation.

Keywords

References

  1. A.Y. JIN, H.S. LEE, Cost Analysis Methodology for Performance Based Logistics of Equipment Maintenance, 국방정책연구, 제32권 제3호, p225-276, 2016.
  2. Y.H. Kim, S.Y. Lee, Review of Studies on V-METRIC Related Models, Journal of the Korean Society of Systems Engineering, Vol.12, No.2, p47-57, 2016. https://doi.org/10.14248/JKOSSE.2016.12.2.047
  3. Y.H. Kim, S.Y. Lee, Review of Studies on V-METRIC for Repairable Parts Inventory Management, 2016 Fall Systems Engineering Symposium, p46.
  4. Y.H. Kim, S.Y. Lee, Review of Research on Multi-echelon and Multi- indenture Inventory Models for Repairable Parts, 2016 Spring Systems Engineering Symposium, p37.
  5. C.C. Sherbrooke, Optimal Inventory Modeling of Systems: Multi-Echelon Techniques, Wiley, New York, 1992.
  6. F. Costantino, G. Di Gravio, and M. Tronci, Multi-Echelon, Multi-Indenture Spare Parts Inventory Control Subject to System Availability and Budget Constraints, Reliability Engineering and System Safety 119, p95-101, 2013. https://doi.org/10.1016/j.ress.2013.05.006
  7. J. Muckstadt, A Model for Multi- Item, Multi-Echelon, Multi-Indenture Inventory System, Management Science 20, p472-481, 1973. https://doi.org/10.1287/mnsc.20.4.472
  8. F.M. Slay, VARI-METRIC: An Approach to Modelling Multi-Echelon Resupply When the Demand Process is Poisson with a Gamma Prior, Logistics Management Institute, Washington, D.C. Report AF301-3, 1984.
  9. C.C. Sherbrooke, VARI-METRIC : Improved Approximations for Multi- Indenture, Multi- Echelon Availability Models, Operations Research 34, p311-319, 1986. https://doi.org/10.1287/opre.34.2.311
  10. W.D. Rustenburg, G.J. van Houtum, and W.H.M. Zijm, Spare Parts Management at the Royal Netherlands Navy: Vari-Metric and Beyond, BETA Working Paper WP-39, University of Twente, 1998.
  11. J.W. Woo, A Decision Model for Optimal Aircraft Engine/Module Level, 국방정책연구 제49권, p.115-144, 2000.
  12. S .T. Jung, S.J. Lee, Optimal Spare Part Level in Multi Indenture and Multi Echelon Inventory Applying Marginal and Genetic Algorithm, Korean Management Science Review 31, p61-76, 2014. https://doi.org/10.7737/KMSR.2014.31.3.061