In this paper, a simulation computerized crash analysis evaluation method through reverse engineering was applied to the Defender vehicle to systemize and simplify the certification of small-scale electric vehicles. The Defender vehicle was selected as a benchmarking vehicle that converts into an electric vehicle, and the layout of the frame and element analysis of individual parts were conducted through reverse engineering. To review the vehicle package layout, the fastening and assembly method for each part was analyzed referring to the Defender maintenance guide and parts list, and it was used for frame element technology analysis. In addition, collisions according to the main frame material and the shape of the crash box were analyzed, and various cases were analyzed through parameter study. As a result of the crash analysis, it was found that the mild steel main frame could not guarantee the safety of the vehicle in a fixed wall collision situation, and the ATOS material would increase the collision safety of the Defender relatively. Through the crash analysis according to the shape of the crash box, it was found that the strength of the crash box is too high compared to the main body, and this should be reflected in the design for small-volume production of multiple products.

Machines and facilities are physically or chemically degenerated by continuous usage. The representative type of the degeneration is the wearing of tools, which results in the process mean shift. According to the increasing wear level, non-conforming products cost and quality loss cost are increasing simultaneously. Therefore, a preventive maintenance is necessary at some point . The problem of determining the maintenance period (or wear limit) which minimizes the total cost is called the ‘process mean shift problem’. The total cost includes three items: maintenance cost (or adjustment cost), non-conforming cost due to the non-conforming products, and quality loss cost due to the difference between the process target value and the product characteristic value among the conforming products. In this study, we set the production volume as a decreasing function rather than a constant. Also we treat the process variance as a function to the increasing wear rather than a constant. To the quality loss function, we adopted the Cpm+, which is the left and right asymmetric process capability index based on the process target value. These can more reflect the production site. In this study, we presented a more extensive maintenance model compared to previous studies, by integrating the items mentioned above. The objective equation of this model is the total cost per unit wear. The determining variables are the wear limit and the initial process setting position that minimize the objective equation.

본 연구에서는 수입되는 바이오매스를 대체하고 증가하는 국내 RPS의무비율을 보다 효과적으로 대응하기 위해 우드펠릿으로 사용가능한 국내 산림바이오매스 부존자원을 파악하기 위하여 선행연구 방법과 매년 추가로 성장하는 임목생장률을 기준으로 미이용 산림바이오매스의 양을 산정하였다. 그 결과, 임목가공 중 발생하는 부산물 중 20%를 우드펠릿 원료로 사용한다고 가정했을 경우 두 가지 추정 방법으로 도출된 평균값을 기준으로 우드펠릿 생산 가능량을 예측 하였다. 그 결과 미이용 부산물은 2016년 199만 톤, 2020년 228만 톤, 2030년 308만 톤이 발생되고 원목가공 과정에서 발생되는 임목부 산물(피죽, 톱밥 등) 중 20%가 우드펠릿 원료로 활용될 경우 2016년 258만 톤/년, 2020년 295만 톤/ 년 2030년 398만 톤/년의 원재료가 추가되어 미이용 부산물과 원목가공 과정 중 발생되는 부산물로 생산 가능한 우드펠릿 양은 2016년에 274만 톤/년, 2020년 314만 톤/년 2030년 423만 톤/년의 우드펠릿이 생산 가능하다는 결과를 도출 하였다.

Purpose – The paper analyzes basic indicators characterizing the volume of energy sector activity in the Russian Federation, Privolzhsky Federal district, Republic of Tatarstan. Research design, data, and methodology – The study analyzed data from the Privolzhsky Federal district, specifically, industrial production volume, electricity production, energy consumption, energy-balance data, capital investments, and capital investment structure. An array of data has been investigated in recent years. The dataset’s dynamics were analyzed in 1998. Fixed capital investment dynamics were studied in 1946 the figures were converted to a comparable form using the index method. Trends were analyzed using multivariate statistics methods and the Statgraphics software package. Results – Hypothesis 1. There are sectoral disproportions in energy flows,taking into account the volume of electricity production and consumption. Trends in electricity production in general coincide with industrial production volume trends. Energy flows have disparities in individual territorial units, and in general. Hypothesis 2. The degree of sectoral economic stability decreases with insufficient levels of investment in fixed capital energy organizations. Conclusions – Because totalelectricity production is largely determined by fixed capital investments, the study of their trends and patterns will coordinate efforts on investment operations in this area.