• 경영과학
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• 제26권1호
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• pp.209-223
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• 2009

In this paper, an analysis problem of repair levels and spare part allocation for MIME(Multi indenture multi echelon) systems is studied using simulation and meta-heuristics. We suggest a method to determine simultaneously repair levels and spare parts allocation to minimize the life cycle cost of MIME system under availability constraint. A simulated annealing method is used to analyze the repair levels and genetic algorithm is used to obtain the optimal allocation of spare parts. We also develop a simulation system to calculate the life cycle cost and system availability. Some numerical examples are also studied.

• 한국산학기술학회논문지
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• 제21권4호
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• pp.311-316
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• 2020

무기체계발 및 운영 간 지속적으로 발생하는 부품단종 문제를 해소하고, 비용대비 가장 효과적인 부품단종 대응방안을 선정하기 위해, 총수명주기 비용분석을 통해 정량적 성능개량 시점판단 기준을 제시한다. 이를 위해 국내외 비용분석 방안을 조사하고, 본 연구를 검증하기 위해 국내 운영장비 1종에 시범적용 하였다. 부품단종(DMSMS)이 발생하는 가장 큰 원인은 긴 수명주기를 갖는 무기체계에 비해 과학의 발전에 따라 부품의 빠른 교체주기와 짧은 수명주기 때문이다. 특히 군수품 양산 및 전력화단계 이후 운영유지 단계 시에는 이러한 부품수급문제가 더욱더 심화된다. 부품의 수명주기 초기 단계에는 신기술과 기능으로 인해 부품의 수정이 빈번하며 사용도는 낮은 반면 비용은 고가이다. 성숙 단계에서는 사용도는 최고이나 비용은 최저가 되며 이후 부품의 쇠퇴 단계를 거쳐 단종에 가까워지면 가격은 다시 상승하는 경향을 나타낸다. 또한 운용유지단계 장비의 경우 부품단종에 대한 소극적인 대응(재고확보 위주)으로 인해 소요군 장비유지 필수품목의 조달이 제한되고 있는 실정이다. 본 연구에서는 부품단종관리를 위한 수명주기비용 분석을 통해 정량적 성능개량 시점 판단기준을 수립하여 부품단종 문제에 대응하고 군수품의 총수명주기 소요비용 절감에 기여하고자 한다.

• 청정기술
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• 제7권2호
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• pp.99-107
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• 2001

Optimization methodologies have been proposed of find the best environment-friendly recycling pathways of plastic materials based on life-cycle assessment (LCA) methodology. The main difficulty in conducting this optimization study is that multiple environmental burdens have to be considered simultaneously as the cost functions. Instead of generating conservative Pareto or noninferior solutions following multi-objective optimization approaches, we have proposed some practical criteria on how to combine the different environmental burdens into a single measure. The obtained single objective optimization problem can then be solved by conventional nonlinear programming techniques or, more effectively, by a tree search method based on decision flows. The latter method reduces multi-dimensional optimization problems to a set of one-dimensional problems in series. It is expected the suggested tree search approach can be applied to many LCA studies as a new promising optimization tool.

• 한국태양에너지학회 논문집
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• 제31권2호
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• pp.89-98
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• 2011

This study examined the energy performance according to the main design parameters of a solar water heating system for an office building using the life cycle cost (LCC) optimization simulations. The LCC optimization simulations of the system were conducted with TRNSYS and GenOpt employing the Hooke-Jeeves algorithm for cases where water temperature was $60^{\circ}C$ and $50^{\circ}C$. The results showed that for water temperature at $60^{\circ}C$ and $50^{\circ}C$ the global radiation incident on the collector could be decreased by 16.98% and 28.52%, collector useful energy gain could be decreased by 15.04% and 22.59%, energy to load from storage tank could be decreased by 10.86% and 18.06% and AH energy to load could be increased by 16.86% and 38.50% respectively compared to a non-optimized system. The annual average collection efficiency of the collector was increased by 0.88% for $60^{\circ}C$ and 2.78% for $50^{\circ}C$ because of increase of collector slope and decrease of the mass flow rate per collector area. The annual average efficiency of the system was increased by 1.74% and 3.47% compared to the basis system. However, the annual solar fraction of the system was decreased by 6.68% for $60^{\circ}C$ and 11.26% for $50^{\circ}C$ due to decrease of collector area and storage tank volume.

• International Journal of Computer Science & Network Security
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• 제23권3호
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• pp.31-48
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• 2023

The popularization of smart devices and subsequent optimization of their sensing capacity has resulted in a novel mobile crowdsensing (MCS) pattern, which employs smart devices as sensing nodes by recruiting users to develop a sensing network for multiple-task performance. This technique has garnered much scholarly interest in terms of sensing range, cost, and integration. The MCS is prevalent in various fields, including environmental monitoring, noise monitoring, and road monitoring. A complete MCS life cycle entails task allocation, data collection, and data aggregation. Regardless, specific drawbacks remain unresolved in this study despite extensive research on this life cycle. This article mainly summarizes single-task, multi-task allocation, and space-time multi-task allocation at the task allocation stage. Meanwhile, the quality, safety, and efficiency of data collection are discussed at the data collection stage. Edge computing, which provides a novel development idea to derive data from the MCS system, is also highlighted. Furthermore, data aggregation security and quality are summarized at the data aggregation stage. The novel development of multi-modal data aggregation is also outlined following the diversity of data obtained from MCS. Overall, this article summarizes the three aspects of the MCS life cycle, analyzes the issues underlying this study, and offers developmental directions for future scholars' reference.

• 조명전기설비학회논문지
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• 제27권1호
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• pp.17-23
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• 2013

The BESS(Battery Energy Storage System) is an useful device for load leveling, but the high cost, installation space and safety issues are the main barriers for supplying it widely. The important factor in supplying BESS to customers successfully is the payback period. As most of the H/W cost factors are uncontrollable, the optimization of storage volume can be useful factor in improving payback period. In order to obtain optimized BESS volume, the load factor, demand ratio, peak shaving ratio, electric rates and benefits from DR participation of customer should be analyzed. In this paper, we could verify the peak cutting capability and cost effectiveness under the some proposed conditions and changing value of PCS and battery based on the customers data after volume optimization process was applied, and we can identified the saturation point of load factor and shortening of customer's payback period.

• 전기학회논문지
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• 제64권7호
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• pp.984-991
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• 2015

This paper presents the methodology for optimal design of power grid for offshore wind power plant (OWPP) and optimum location of offshore substation. The proposed optimization process is based on a genetic algorithm, where the objective cost model is composed of investment, power loss, repair, and reliability cost using the net present value during the whole OWPP life cycle. A probability wind power output is modeled to reflect the characteristics of a wind power plant that produces electricity through wind and to calculate the reliability cost called expected energy not supplied. The main objective is to find the minimum cost for grid connection topology by submarine cables which cannot cross each other. Cable crossing was set as a constraint in the optimization algorithm of grid topology of the wind power plant. On the basis of this method, a case study is conducted to validate the model by simulating a 100-MW OWF.

• 한국구조물진단유지관리공학회 논문집
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• 제11권4호
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• pp.109-120
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• 2007

본 연구에서는 생애주기비용을 고려한 성능기반 최적 유지관리 전략 수립 시스템을 개발하였다. 교량 수명동안 비용과 성능이라는 상반되는 목적을 균형있게 만족시킬 수 있는 유지관리 시나리오의 생성을 다중목적 조합최적화 문제로 정식화하고 유전자알고리즘을 적용하였다. 개발된 프로그램을 이용하여 국도 상 강거더 교량의 최적 유지관리 시나리오를 제공하는 과정을 제시하였다. 개발된 시스템은 현재의 교량 유지관리 전략 수립의 방법을 개선하여 교량 관리주체에게 다양한 제약 및 요구조건에 부합하는 최적의 교량 유지관리 시나리오를 제공할 수 있는 효율적인 도구로 활용될 수 있을 것으로 판단된다.

• 소성∙가공
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• 제17권7호
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• pp.481-485
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• 2008

The subframe type rear suspension consisting of a side member and a front/rear cross member is widely used in a medium car and full car. In the small car case, the beam of tubular type without independent suspension system is used to reduce manufacturing cost. In this study, a subframe type rear suspension by hydroforming has been developed. In designing suspension, a driving stability and durability should be considered as an important factor for the performance improvement, respectively. Thus, we focus on increasing the stiffness of suspension and decreasing the maximum stress affecting a durability cycle life. Several optimization design techniques such as shape, size, and topology optimization are implemented to meet these requirements. The shapes of rear suspension obtained from optimization are formed by using hydroforming process. Through commercial software based on the finite element, the superiority of this design method is demonstrated.

• 한국철도학회논문집
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• 제8권6호
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• pp.544-549
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• 2005

Nowadays, most of bridge networks are complete or close to completion. The biggest challenge railroad./highway agencies and departments of transportation face is the maintenance of these networks, keeping them safe and serviceable, with limited funds. To maintain the bridges effectively, there is an urgent need to predict their remaining life from a system reliability viewpoint. And, it is necessary to develop the maintenance models based on system reliability concept. In this paper, maintenance models are developed for preventive maintenance and essential maintenance by using system reliability and lifetime distributions. The proposed model is applied to an existing railroad bridge. The optimal maintenance strategy of this bridge is obtained in terms of services life extension and cumulative maintenance cost.