MATERIAL REQUIREMENTS PLANNING IN TURKISH AIR FORCE

  • Çağlar Utku Güler
Keywords: Material Requirements Planning, System Based Computation, Material Based Computation, Inventory Management, Acquisition Management

Abstract

Accompanying with the activation of enterprise resource planning software (HvBS), the Turkish Air Force (TuAF) is having a fundamental change on its system sustainability approach. This change will show itself on the acquisition decisions as a result of switching to a system based requirements computation approach, from a legacy material based one. Following the completion of the activation process, it is expected that the results of this new computation approach will provide constructive improvements on negative restrictions of initial Metric computation capabilities and remarkable savings on central acquisition budgets.

This article discusses the activation process of the HvBS Material Requirements Planning(MRP) functions in regards to the importance of MRP, problems affecting the process, past performance analysis of the current system and investigation of its successes and failures, suggestions on system based Vari-Metric algorithmic approach that will be implemented as a new capability with the activation to be able to produce reasonable results, possible gains of this new computation system and future research areas. Besides, with the help of a comparison between the new system based and legacy material based approaches, the personnel assigned in logistics acquisition posts have been targeted to have a vision on possible needs and problem areas.

References

[1] Sloan, N., & Rossetti, M., “Examining Stock Positions in Military Logistics”, IIE Annual Conference. Proceedings, 1-7. Retrieved June 28, 2011, from ABI/INFORM Trade & Industry.
[2] Guide, V.D.R., and Srivastava, R., “Repairable inventory theory: models and applications”, European Journal of Operational Research, Vol. 102, 1-20, 1997
[3] Kennedy, W.J., Patterson, J.W., and Fredendall L.D., “An overview of recent literature on spare parts inventories”, International Journal of Production Economics, Vol.76, 201-215, 2002.
[4] Burdick, Lenny, “Readiness Based Sparing: Improved Readiness at Reduced Cost”, Naval Engineers Journal, Vol. 102, No.2, 43-50, March 1990.
[5] Sherbrooke, Craig C., “Metric: A Multi-Echelon Technique for Recoverable Item Control”, Operations Research, Vol 16, 1968.
[6] Muckstadt, John A., “A Model for a Multi-Item, Multi-Echelon, Multi-Indenture Inventory System”, Management Science, Vol. 20, No. 4, 472-481, December 1973.
[7] Muckstadt, John A., “A Three-Echelon, Multi-Item Model for Recoverable Items”, Naval Research Logistics Quarterly, Vol. 26, 199-221, 1979.
[8] Muckstadt, John A. and L. Joseph Thomas, “Are Multi-Echelon Inventory Methods Worth Implementing in Systems with Low-Demand-Rate Items?”, Management Science, Vol. 26, No. 5, 483-494, 1980.
[9] Sherbrooke, Craig C., “Optimal Inventory Modeling of Systems: Multi-Echelon Techniques”, John Wiley & Sons, New York, 1992.
[10] Graves, S.C., “A multi-echelon inventory model for a repairable item with one-for-one replenishment”, Management Science, Vol.31, 1247-1256, 1985.
[11] Patrik Alfredsson, “Optimization of multi-echelon repairable item inventory systems with simultaneous location of repair facilities”, European Journal of Operational Research, Volume 99, Issue 3, Eleventh EURO Summer Institute: Operational Research Models in Maintenance, 584-595, 16 June 1997.
[12] Burnworth, Todd C., “Simulated Multi-Echelon Readiness-Based Inventory Leveling With Lateral Resupply”, Thesis, Air Force Institute of Technology, OH, March 2008.
[13] Muckstadt, J. A., “Analysis and Algorithms for Service Parts Supply Chains”, Springer Science+Media, Inc., 2005.
[14] Miman, M., Rossetti, M., Varghese, V., & Pohl, E., “An Object-Oriented Framework for Analyzing VARIMETRIC Systems”, IIE Annual Conference. Proceedings, 917-922, Retrieved June 28, 2011, from ABI/INFORM Trade & Industry.
[15] Levner, E., Perlman, Y., Cheng, T., & Levner, I., (2011), “A network approach to modeling the multi-echelon spare-part inventory system with backorders and interval-valued demand”, International Journal of Production Economics, 132(1), 43, Retrieved June 28, 2011, from ABI/INFORM Global.
[16] Al-Rifai, M., Rossetti, M., & Desai, V., “An Iterative Heuristic Optimization Model for Multi-Echelon (R, Q) Inventory Systems”, IIE Annual Conference. Proceedings, 1-6, Retrieved June 28, 2011, from ABI/INFORM Trade & Industry.
[17] İDS Kullanıcı Kılavuzu ve Sistem Fonksiyon Dokümanı (RDS User Manual and System Functions Document).
[18] Hava Lojistik Komutanlığı 10 Yıllık Stratejik Planı, 2011.
[19] Sherbrooke, Craig C., “Optimal Inventory Modeling of Systems, Multi-Echelon Techniques”, Kluwer Academic Publishers, 2004.
[20] Sherbrooke, Craig C. “Optimal Inventory Modeling of Systems, Multi-Echelon Techniques”, Kluwer Academic Publishers, 46-47, 2004.
[21] Sherbrooke, Craig C., “Vari-Metric: Improved Approximations for Multi-Indenture, Multi-Echelon Availability Models”, Operations Management, Vol. 34, No. 2, 1986.
[22] VMetric-XL 3.7 Information Guide.
[23] Lau, H.C., and Song, H., “Multi-echelon repairable item inventory system with limited repair capacity under nonstationary demands”, International Journal of Inventory Research, Vol. 1, No.1, 67-92, 2008.
[24] Khouja, M., “The single-period (news-vendor) problem: literature review and suggestions for future research”, Omega, Vol.27, No.5, 537-553, 1999.
[25] Croston, J.D., “Forecasting and Stock Control for Intermittent Demands”, Operational Research Quarterly (1970-1977), Vol.23, No.3, 289-303, 1972.
[26] Levén, E., Segerstedt, A., “Inventory control with a modified Croston procedure and Erlang distribution”, International Journal of Production Economics, Vol.90, No.3, 361-367, 2004.
[27] Syntetos, A.A. and Boylan, J.E., “On the bias of intermittent demand estimates”, International Journal of Production Economics, Vol.71 No.1-3, 457-466, 2001.
[28] Syntetos, A.A. and Boylan, J.E., “The Accuracy of Intermittent Demand Estimates” International Journal of Forecasting, Vol.21, No.2, 303-314, 2005.
[29] Syntetos, A.A., Boylan, J.E. and Croston, J.D., “On the Categorisation of Demand Patterns”, Journal of the Operational Research Society, Vol.56, No.5, 495-503, 2005.
[30] Syntetos, A.A. and Boylan, J.E., “On the Stock-Control Performance of Intermittent Demand Estimators”, International Journal of Production Economics, Vol.103, No.1, 36-47, 2006.
[31] Boylan, J.E. and Syntetos, A.A., “Spare Parts Management: A Review of Forecasting Research and Extensions”, IMA Journal of Management Mathematics, Vol. 21, No.3, 227-237, 2010.
Published
2012-01-23
How to Cite
[1]
Çağlar Güler, “MATERIAL REQUIREMENTS PLANNING IN TURKISH AIR FORCE”, JAST, vol. 5, no. 3, pp. 35-45, Jan. 2012.
Section
Articles