• 대한산업공학회지
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• 제36권3호
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• pp.164-175
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• 2010

In this study, we developed a genetic algorithm to find a near optimal solution of concurrent spare parts selection for the operational time period with limited information of weapon systems purchased from overseas. Through the analysis of time profiles related with system operations, we first define the optimization goal which maintains the expected system operating rate under the budget restrictions, and the number of failures and the lead time for each spare part are used to calculate the estimated total down time of the system. The genetic algorithm for CSP selection shows that the objective function minimizes the estimated total down time of systems with satisfying the restrictions. The method provided by this study can be applied to the generalized model of CSP selection for the systems purchased from overseas without provision of their full structure and adequate information.

• 한국신뢰성학회지:신뢰성응용연구
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• 제12권3호
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• pp.225-238
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• 2012

In this paper determined is the quantity of repairable concurrent spare parts(CSP) of a new equipment system to maximize the operational availability under budget constraint and cannibalization allowed. When a part fails, the part is replaced and the failed part is repaired for later use while cannibalization is allowed. The failure of a part is assumed to follow a Poisson process and the availability in CSP is defined. The solution procedure consists of two parts. Firstly, a mathematical model is developed under the assumption that the failure rate is constant during the CSP period and cannibalization is not allowed. Secondly, proposed is a simulation search procedure which improves the heuristic solution to the near optimal solution in a reasonable amount of time under the assumption that the cannibalization is allowed.

• 한국신뢰성학회지:신뢰성응용연구
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• 제4권2호
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• pp.91-104
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• 2004

In this paper we consider the concurrent spare part(CSP) requirements problem of new equipment system. When a part fails, the part is replaced and the repair of failed part is impossible and cannibalization is allowed. We assume that the failure of a part knows a Poisson process. The operational availability concept in CSP is defined, and derive a formula to calculate the operational availability using expected machine operating time during CSP period. A mathematical model is derived for making an CSP requirement determination subject to the constraint of satisfying any given operational availability limitation and an heuristic solution search procedure is derived. An illustrative example is shown to explain the solution procedure.

• 산업경영시스템학회지
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• 제33권3호
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• pp.199-207
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• 2010

In this paper considered is the provisioning quantity determination problem of consumable concurrent spare parts (CSP) of a new equipment system to minimize the procurement cost under the operational availability constraint. When a part fails, repair of the failed part is impossible and the part is replaced and cannibalization is allowed. The failure of a part is assumed to follow a Poisson process and the operational availability in CSP is defined. The solution procedure consists of two parts. Firstly, a heuristic algorithm is developed under the assumption that the failure rate is constant during the CSP period. Secondly, proposed is a simulation search procedure which improves the heuristic solution to the near optimal solution in a reasonable amount of time. An illustrative example is shown to explain the solution procedure.

• 대한안전경영과학회지
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• 제8권5호
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• pp.167-180
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• 2006

This study expands limitation of OASIS(Optimal Allocation of Spares for Initial Supports) program, which calculates CSP(Concurrent Spare Part), not only availability but also cost, and developed the program enabling run in WINDOW OS. By considering multi-step repair and logistics support system, repairing capability at the time of deployment, and procurement period, this model is the first local model reflecting circumstances of the armed forces of the Republic of Korea. Furthermore, the programmed model was selected as the military standard software and has being essentially used for CSP calculation.

• 산업경영시스템학회지
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• 제28권1호
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• pp.97-104
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• 2005

Considered is the concurrent spare part(CSP) requirements problem of new equipment system. In the considered system, when a part fails, the part cannot be repaired and should be replaced. In addition, cannibalization is allowed. It is assumed that the failure of a part follows a Poisson process. The operational availability concept in CSP is defined, and a formula is derived to calculate the operational availability using expected machine operating time during CSP period. The problem is formulated as the operational availability maximization problem with available budget constraint and a heuristic solution search procedure is developed. An illustrative example is shown to explain the solution procedure.

• 산업경영시스템학회지
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• 제20권41호
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• pp.123-134
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• 1997

In this paper we consider the CSP requirements determination problem of new equipment system. The CSP we deal with in the paper are restricted to the demand-based spare parts. For the newly procured equipment systems, mathematical analyses are made for the system which is constructed with the repairable items to derive the associated CSP requirement determination model in mathematical expression, respectively. Based on these analyses, a mathematical model is derived for making an optimal CSP requirement determination subject to the constraint of satisfying any given funds limitation. We assume that the failure of a part follows a Poisson process. Firstly, the operational availability concept in CSP is defined and the relation between the general system availability and the operational availability is established. Secondly, the problem is formulated as the operational availability maximization problem that should satisfy the funds limitation, and then, using the generalized Lagrange multipliers method, the optimal solution procedure is derived.

• 한국신뢰성학회지:신뢰성응용연구
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• 제2권2호
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• pp.85-97
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• 2002

In this paper, partially repairable concurrent spare parts requirement determination problem of newly procured equipment systems is considered. “partially repairable” means that a portion of damaged parts can be recover their function and reused after repairs. A mathematical model is derived for making an CSP requirement determination subject to the constraint of satisfying any given operational availability limitation. We assume that the failure of a part follows a Poisson process and the repair time has an exponential distribution. Using the generalized Lagrange multipliers method, the solution procedure is derived.

• 한국시뮬레이션학회논문지
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• 제21권3호
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• pp.79-88
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• 2012

최근 방위 산업에는 장비가 군에서 요구한 임무를 완수하기 위해 장비 설계, 운용, 그리고 정비 측면에서 많은 연구가 이루어지고 있다. 그 중 동시조달수리부속은 장비가 군에 납품될 때 함께 들어가는 수리부속으로써, 이것을 분석하는 것은 장비의 운용가용도를 높이는데 가장 중요한 부분 중 하나이다. 그러나 이렇게 중요한 동시조달수리부속이지만 현실적 개발 환경을 고려한 공학적 분석 방법 발전 보다는 정책적인 방법으로 해결해 나가고 있는 실정이다. 그래서 본 연구에서는 동시조달수리부속 최적화를 위해 시뮬레이션과 다중 회귀모형 기법을 활용한 공학적 분석을 연구하였다. 먼저, 시뮬레이션 기법을 이용하여 가상으로 운용해보면서 정의된 보급 및 정비체계를 분석하고 이를 통해 품목별 동시조달수리부속의 수량을 변화에 따른 운용가용도의 변화 추이를 결과 자료로 산출하였다. 이렇게 얻은 입출력 자료를 통해 수리적 다중 회귀모형을 도출 후 선형계획법을 사용하여 동시조달수리부속 최적화를 하였다. 이때 최적화는 단가 제약을 두었다. 이 방법의 가장 큰 장점은 최적화 선정시 기준이 되는 제약조건의 변화에 빠르게 대응할 수 있다. 장비의 개발 단계에서는 품목별 단가는 지속적으로 바뀌기 마련이다. 이런 환경에서 제약조건이 바뀔 때 마다 시뮬레이션 분석을 재 수행하면 분석 속도가 늦어질 수밖에 없다. 그러므로 본 방법은 실제 개발 환경에 적합한 것이라 할 수 있다. 향후 이런 기본 개념을 바탕으로 시뮬레이션 모델링을 정밀화하고, 회귀모형의 정확성을 높여 연구의 완성도를 높일 것이다.

• 산업경영시스템학회지
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• 제21권48호
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• pp.113-122
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• 1998

In this paper we consider the CSP requirements determination problem of new equipment(machine) system. For the newly procured equipment systems, mathematical analyses are made for the system which is constructed with the consumable parts to derive the associated CSP requirement determination model in mathematical expression. Based on these analyses, a mathematical model is derived for making an optimal CSP requirement determination subject to tile constraint of satisfying any given operational availability limitation. We assume that the failure of a part follows a Poisson process. Firstly, the operational availability concept in CSP is defined and the relation between the general system availability and the operational availability is established. Secondly, the problem is formulated as the cost minimization problem that should satisfy the operational availability limitation, and then, using the generalized Lagrange multipliers method, the optimal solution procedure is derived.