• Journal of the military operations research society of Korea
• /
• v.27 no.1
• /
• pp.58-72
• /
• 2001

This research deals with the weapon system RAM which is the reliability, availability and maintainability for weapon systems. This weapon system RAM is one of very important factors because it is related to the life cycle cost and combat readiness of weapon systems. Therefore, in this research we introduce the weapon system RAM and analyze the problems of weapon system RAM management during system life cycle including acquisition period. Finally we suggest an alternative to improve the weapon system RAM in various agencies which are the department of defense and army headquarter level, etc., in the process of defense acquisition.

• Journal of Korean Institute of Industrial Engineers
• /
• v.39 no.6
• /
• pp.461-472
• /
• 2013

In this paper, we deal with a simulation-based reliability and maintainability design problem of a warship and want to determine the optimal values of MTBF and MTTR of all units and ALDT of the warship. The system availability and life cycle cost are used as optimization criteria and estimated by simulation. A hybrid genetic algorithm with a heuristic method is proposed to find near-optimal solutions and numerical examples are also studied to investigate the effect of model parameters to the optimal solutions and compare with a general genetic algorithm.

• Journal of the Korean Society of Systems Engineering
• /
• v.15 no.2
• /
• pp.47-56
• /
• 2019

Although the weapon systems are becoming more diverse and complex, they are progressing in a short development period and a longer test and evaluation period. The more difficult the given environment is, the more efforts and performance of quantitative target values can be made by development agencies to carry out stable projects. However, these target values of the Integrated Logistics Support are not specified in the requirements and being set during the system development phase. In this paper, application of MOEs, MOPs and TPMs for ILS are presented and provided the basis for carrying out systematic Verification & Validation activities. As a result that MOEs of the ILS were chosen as Availability and MOPs as Mission Reliability, Logistics Reliability, Maintainability and Supportability and TPMs as MTBF, MTBCF, MTTR and so on. In particular, it is appropriate tailoring and apply the TPMs considering the cost, schedule, scope of work and characteristics of the project.

• Korean Journal of Computational Design and Engineering
• /
• v.20 no.1
• /
• pp.36-43
• /
• 2015

Recently, a number of evaluation studies on availability of plant were carried out. This study was conducted to verify of the reliability of a simulation with some variable such as configuration of process, failure probability density function and the number of iteration times for the natural gas liquefaction plant. The error rate of the KICT-RAM solution was evaluated as 0.03~1.79% compared with the result of the MAROS(commercial solution). And the error-rate change was observed in the range of 0.03~1.75 on the condition of the iteration times as 30, 100, 250. As a result the plant availability evaluation approach of KICT-RAM solution was verified as reasonable. However, the careful approach was required to use the solution because the error-rate increased according to iteration times change.

• Proceedings of the KSR Conference
• /
• 2008.11b
• /
• pp.1473-1480
• /
• 2008

This article deals with a case study on evaluating RAM(Reliability, Availability and Maintainability) performance of the door systems. The RAM performance is analysed based on the field data. The definition and category of failures of the door systems are presented and reliability for each categories is predicted with field data. MTTR(Mean Time To Repair) is estimated through the replacement time of line replaceable units(LRU). The availability is predicted based on the estimated reliability and maintainability.

• Nuclear Engineering and Technology
• /
• v.56 no.1
• /
• pp.48-55
• /
• 2024

The safety-related raw water system's strong operational condition supports the radiation defense and biological shield of nuclear plant containment structures. Gaps and failures in maintaining proper working condition of main equipment like pump were among the most common causes of unavailability of safety related raw water systems. We integrated the advanced data analytics tools to evaluate the maintenance records of water systems and gave special consideration to deficiencies related to pump. We utilized maintenance data over a three-and-a-half-year period to produce metrics like MTBF, MTTF, MTTR, and failure rate. The visual analytic platform using tableau identified the efficacy of maintenance & deficiency in the safety raw water systems. When the number of water quality violation was compared to the other O&M deficiencies, it was discovered that water quality violations account for roughly 15% of the system's deficiencies. The pumps were substantial contributors to the deficit. Pump availability was predicted and optimized with real time data using response surface method. The prediction model was significant with r-squared value of 0.98. This prediction model can be used to predict forth coming pump failures in nuclear plant.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.3
• /
• pp.453-459
• /
• 2020

It is important to increase the probability that all developed weapon systems can be operated in a steady state at any time. In the case of Integrated Logistics Support, this probability is referred to as operational availability, and the numerical value is quantified during the development process. There are several ways to improve operational availability for successful development of weapon systems. One of the methods is to reduce total corrective maintenance time through Automatic Test Equipment(ATE). Recently, customers in the defense market have become aware of this and demand ways to improve operational availability of weapon systems. Therefore, this paper proposes ways to improve operational availability of weapon systems by changing the method of operating the ATE. The detailed method is to allow field maintenance personnel to carry out field maintenance support onsite. This is an effective way to reduce the total corrective maintenance time of weapon systems by reducing the travel time of field maintenance personnel. The proposed ATE is proved to be able to achieve superior maintenance and operational availability.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2014.05a
• /
• pp.567-570
• /
• 2014

The basic of a reliable service using a system and network is duplex configuration. There are a various duplex configuration for a system and network and we must have a performance indicator about how to use some redundancy. Then, we need analysis tool and method which analyze efficiently the performance about various duplex models. The tool that analyzing the performance and stability of the system and the network are a mathematical analysis method and simulation method. The mathematical analysis is a commonly used method, but high complexity system is not suitable for analysis methods and the simulation method has the problems which take a long time to understand in itself. Then, to overcome this problems, we propose the more simple method than used method for network analysis and we prove the efficiency by using the simple redundancy models.