The ROK Army must detect the enemy’s location and the type of artillery weapon to respond effectively at wartime. This paper proposes a radar positioning model by applying a scenario-based robust optimization method i.e., binary integer programming. The model consists of the different types of radar, its available quantity and specification. Input data is a combination of target, weapon types and enemy position in enemy’s attack scenarios. In this scenario, as the components increase by one unit, the total number increases exponentially, making it difficult to use all scenarios. Therefore, we use partial scenarios to see if they produce results similar to those of the total scenario, and then apply them to case studies. The goal of this model is to deploy an artillery locating radar that maximizes the detection probability at a given candidate site, based on the probability of all possible attack scenarios at an expected enemy artillery position. The results of various experiments including real case study show the appropriateness and practicality of our proposed model. In addition, the validity of the model is reviewed by comparing the case study results with the detection rate of the currently available radar deployment positions of Corps. We are looking forward to enhance Korea Artillery force combat capability through our research.

본 연구에서는 계층분석과정(AHP)을 이용한 위해도 기반 지역별 기름회수능력 설정 방법을 모델화하여 제시하였으며, 제시된 모델을 적용하여 지역별 기름회수능력을 설정하였다. 모델을 적용하여 설정된 지역별 기름회수능력의 유효성을 확인하기 위해 최대오염사고의 발생이 가능한 지역 중 해상방제장비 동원측면에서 상대적으로 불리한 대산·태안·평택지역에 최대오염사고를 가정하여 각 지역에 배치된 해상방제장비를 동원하여 해상 기름회수작업을 수행하는 시뮬레이션을 실시하였다. 시뮬레이션 결과 사고해역에서 3일 동안 해상에서 회수 가능한 기름의 양은 15,841㎘로 계산되었는데, 이는 해상 기름회수 목표량인 15,000㎘를 충족시키는 결과로 본 연구에서 제시된 모델이 실행 가능한 것으로 확인되었다.

This paper presents an analytic method of quality function deployment(QFD) that is to maximize customer satisfaction subject to technical and economic sides in process design. We have used Wasserman's normalization method and the analytical hierarchy process(AHP) to determine the intensity of the relationship between customer requirements and process design attributes. This paper also shows cost-quality model the tradeoff between quality and cost as a linear programming(LP) with new constraints that have designated special process required allocating firstly. The cost-quality function deployment of piston ring is presented to illustrate the feasibility of such techniques.

This paper presents an analytic method of quality function deployment(QFD) that is to maximize customer satisfaction subject to technical and economic sides in process design. We have used Wasserman's normalization method and the analytical hierarchy process(AHP) to determine the intensity of the relationship between customer requirements and process design attributes. This paper also shows cost-quality model the tradeoff between quality and cost as a linear programming(LP) with new constraints that have designated special process required allocating firstly The cost-quality function deployment of piston ring is presented to illustrate the feasibility of such techniques.