Capacity Pooling을 활용한 육군항공 통신장비의 적정예비품수 결정에 관한 연구
Analysis on the Optimal Spare Level for Army Aviation's Avionics through Capacity Pooling
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초록
중요한 설비나 장비들은 신뢰도(Reliability)나 가용도(Availability)를 확보하기 위해 만약의 경우를 대비하는 예비 장비를 운용한다. 이를 정비대충장비(M/F, Maintenance Float) 라고 하며, 신뢰도나 가용도가 중시되는 군의 경우에는 주요 장비에 반드시 M/F를 확보하여 활용하도록 규정하고 있다. 그러나, 여유장비의 확보는 예산의 증가를 동반하므로, 비용을 최소화시키면서 효과를 극대화할 수 있는 적정예비품수 (Optimal Spare Level)에 대한 의사결정이 필요하다. 한편, 풀링(Pooling)은 불확실성과 변동성을 공유함으로써, 다양한 불확실성 간의 상쇄작용을 통해 변동성으로 인한 비효율을 감소시키는 방법이다. 본 연구에서는 육군 항공부대의 적정 M/F 수량 결정을 위한 모형을 대기행렬이론을 활용하여 모델링하고, 이를 활용하여 풀링을 도입했을 경우와 그렇지 않은 경우 적정 M/F 대수를 산출하여 풀링을 도입했을 경우 육군 항공부대의 적정 M/F 장비 대 수와 M/F 장비 수 절감으로 인한 효과를 제시하고자 한다.
Abstract
Important facilities and equipment need to operate spare ones in order to provide reliability or availability in an event of unexpected situations. We call these auxiliary facilities or equipment as Maintenance Float (M/F), and especially at military where reliability and availability are crucial, securing of M/F for every important equipment is a must. However, securing M/F entails an increase in defense budget, and this is why the military has to make decisions on optimal spare level at which the military can earn maximum effects with minimum cost. Meanwhile, pooling is an effective method that can reduce inefficiency which can be caused by volatility, because by sharing uncertainties and volatility, it offsets various uncertainties. In this paper, we aim to provide a model, which is developed on a queuing model, in order to help the military aviation unit decide on optimal M/F volume level. In addition, based on the model, we calculate the difference in the number of appropriate M/F units with a pooling, and without a pooling. And, we believe this will present an optimal level of M/F units for the military aviation unit, as well as reduction effects in the number of M/F unit, with the pooling system in place.
참고문헌 (17)
- 김기영, "육군항공 통신장비의 최적예비품수 결정모형에 관한 연구" (2000), 국방대학교
- 육군본부, "육군규정:432 장비 및 물자정비 규정" (2004), 육군본부
- Axsater S., "Modeling Emergency Lateral Transshipments in Inventory Systems", Management Science, 36, pp.1329~1338 (1990)
- Brown A,Lee H, "Xilinx Improves Its Semiconductior Supply chain Using Product and Process Postponement", Interfaces, 30(4), pp.65~ (2000)
- Cachon G, "Matching Supply with Demand" (2006), MeGrawHill
- Chopra S, "Supply Chain management:Strategy,Planning and Operation" (2004), Pearson Prentice Hall
- Das C, "Supply and Redistribution Rules for Two-Location Inventory Systems : One period Analysis", Management Science, (21), pp.765~776 (1975)
- Feitzinger E, "Mass Customization at Hewlett-Packard: The Power of Postponement", Harvard Business Review, 75, pp.116~121 (1977)
- Graham A, "Kronecker Products and Mtrix Calculus with Applications" (1981), John Wiley & Sons
- Hoadley B, "A Two-Echelon Inventory Model with Perchases, Dispositions, Shipments, Reterns and Transshipments", Naval Research Logistics Quarterly, (24), pp.1~19 (1977)
- Jordon W, "Principles on the Benefits of Manufactureing process Flexibility", Management Science, 41, pp.577~594 (1995)
- Lee, "A Multi-Echelon Inventory Model for Repairable Items with EmergencyLateral Transshipments", Management Science, 31, pp.1302~1316 (1987)
- Lee H, "Effective Inventory and Service Management through Product and Process Redesign", Operations Research, 44(1), pp.151~159 (1996)
- Medhi J, "Stochastic Models in Queueing Theory" (2003), Academic Press
- Rohatgi VK, "An Introduction to Probability Theory and Mathematical Statistics" (1976), John Wiley & Sons
- Sherbrooke CC, "Multiechelon Inventory Systems with Lateral Supply", Naval Research Logistics, 39, pp.29~40 (1992)
- Simchi-Levi D, "Designing and Managing the Supply Chain: concepts, Strategies, and case Studies" (2003), Mcgraw-Hill