The purpose of this study is to provide a quantitative evaluation index of object-oriented software development productivity for EJB 3.x. The lightweight container architecture is a newly-developed architecture in order to solve demerits that N-Tiers enterprise architecture has and to support merits therein. However, there have been insufficient studies on a performance evaluation of EJB 3.x on an identical platform. Since a quantitative analysis has been performed only with respect to a partial LoC(Line of Code) analysis, there have been insufficient objective evaluation indices and guidelines for a new specification released. Accordingly, there has been limited evaluation of software development productivity and on new innovations in a project. This study then intends to provide evaluation guidelines for an objective software development productivity comparison by development platform environment.
본 연구는 현재 정부가 시행하고 있는 새주소(도로명주소) 체계에 있어, 기업의 정보시스템에 새주소를 도입하여 운용하기 위해 주의할 점과 문제점들에 대해 살펴보고, 효율적인 전환과 운용에 필요한 구축 프로세스를 제안한다. 이와 같은 논의는 기존의 주소체계(지번체계)와 다른 도로명체계가 시스템에 도입됨으로써 야기되는 문제점에 대해 많은 관심을 가지고 있는 정보관리자 및 시스템 운용자들에게 새주소체계 도입의 가이드라인을 제시할 수 있을 것이라 생각된다.
Most of metal cutting and processing companies are frequently used to mass-produce defectives by missing times to replace parts of CNC equipment. The reason is that the correct operation times of expensive CNC equipment can’t be calculated. In this paper, to solve these problems, we construct the intelligent production information system and analyze the expected effects.
For zero inventory and mixed assembly production, JIT (Just In Time) production system in Toyota and JIS (Just-In-Sequence) production system in Hyundai motor co. have been proposed. Even though the production systems are popular in automobile production area, many subcontract companies producing part-modules for final production at a parent company suffers from excessive or shortage amount of inventory due to the time gap of production and delivery to the parent company. In this study, we propose an efficient real-time assembly sequence system applying a well-known Pareto method using Paint-In information in painting process and daily production planning information. Based on this system, a production line can estimate the shortage amount of UPH (Units Per Hour) at production line and recovers the amount before operating assembly production in the line. The proposed system provides efficiency on productivity compared with the previous system.
Supply Chain Management(SCM) is getting important, because size of the company is getting bigger and the kinds of product are various. In the case of manufacturing corporation, for the optimization of SCM, we have to make production and distribution plan by considering the various fluctuation in the aspect of integration. In this paper, first, It proposed the reasonable operational way of the SCM about when the customer’s demanding is various and demanding expectation fluctuates in capacity standardization of producer stage. Second, the paper proposed the management way for demanding by considering confirmed demanding information, related inventory expense and demanding shortage expense when we make production and distribution plan. The paper applied the genetic algorithm proved for current usefulness. it proposed the optimal operational way for SCM by dividing into 2 ways for dealing with the duration of confirmed demanding information and various fluctuation.
This study is to propose the paradox management process to analysis and solve the public education’s dilemma between the standardized education and the personalized education. The process is based on combining the TOC(Theory Of Constraints) and TRIZ(Russian Theory of Inventive Problem Solving), which is a creative way of thinking to draw the synergic effect by pursuing simultaneously the conflicting elements. Through this research, a new concept of learning method can be suggested on a public course.
본 연구는 대구경북의 중소기업을 대상으로 전략유형과 성과관리시스템이 경영성과에 미치는 영향에 대한 연구를 통해 중소기업에 적합한 전략유형을 알아보고 그에 맞는 성과관리시스템의 설계를 통해 기업의 경영성과를 개선하고자 하였다. 연구결과 전략유형 중에서 기술혁신형과 생산중점형은 경영성과에 유의적인 영향을 미치는 것으로 나타났으며, 성과관리시스템은 재무적성과와 비재무적성과에 부분적으로 영향을 미치는 것으로 나타났다. 또한 전략유형과 성과관리시스템의 상호작용은 기술혁신형 기업의 경영성과에 유의적인 영향을 미치는 것으로 나타났다. 이러한 결과는 중소기업들이 전략유형에 맞는 성과관리시스템의 구축을 통해 경영성과를 향상 시킬 수 있음을 지지하고, 이를 통해 기업들은 자원의 제약과 무한 경쟁을 이겨내고 지속적인 성장을 할 수 있을 것으로 보인다.
This study analyze the effects of cooperative activities between SME’s(Small and Medium Company’s). To research the empirical analysis, we divide type of cooperation into four dimensions such as technical cooperation, human resource cooperation, sales cooperation and finance cooperation. We examine the role of cooperation philosophy as precedence factor. In addition, this study analyze the relationship between cooperation philosophy, cooperation activities and performance. The finding of this study can be summarized as follows, First, the result of path analysis between cooperation philosophy and cooperation activities is that cooperation philosophy have significant effect on technical cooperation, human resource cooperation, sales cooperation and finance cooperation. Second, the result of relationship between cooperation activities and performance, technical cooperation, human resource cooperation, sales cooperation have significant effects on cooperation performance. In particular, the effect of haman resource cooperation is relatively high because cooperation through personnel exchanges is effective in the short-term performance. In addition, the implications of this study are presented as follows, First, this study analyze the empirical test by using PSBP Model in terms of partnership. Until now, many researcher analyze the relationship between big and small company, but we try to verify the relationship between small business company. So, we can present a beneficial implications to explain importance of cooperation activities between SME’s. Second, there is the problem of technical information disclosure issue when SME’s business unit have a partnership. To overcome this problem, we use cooperation philosophy and it can be escape the negative views.
In this paper, we have considered the modeling and analyses of categorical data. We modeled binary data with categorical predictors, using logistic regression to develop a statistical method. We found that ANOVA-type analyses often performed unsatisfactory, even when using arcsine-square-root transformations. We concluded that such methods are not appropriate, especially in cases where the fractions were close to 0 or 1. The logistic transformation of fraction data could be a promising alternative, but it is not desirable in the statistical sense. The major purpose of this paper is to demonstrate that logistic regression with an ANOVA-model like parameterization aids our understanding and provides a somewhat different, but sound, statistical background. We examined a simple real-world example to show that we can efficiently test the significance of regression parameters, look for interactions, estimate confidence intervals, and calculate the difference between the mean values of the referent and experimental subgroups. This paper demonstrates that precise confidence interval estimates can be obtained using the proposed ANOVA-model like approach. The method discussed here can be extended to any type of fraction data analysis, particularly for experimental design.
Multivariate control charts are widely needed to monitor the production processes in various industry. Among the several multivariate control charts, control chart have been used of the typical technique. The control chart shows a statistic that represents observed variables and monitors the process through the statistic. In this case, the statistic generally have the limit that any variables affect to that statistic. To solve this problem, some studies have been progressed in the meantime. The representative method is to disassemble total statistic into each of the variable value and make a decision the parameters with large values than threshold value as a main cause. However, the means is requested to follow the normal distribution. To settle this problem, the bootstrap technique that don't be needed the probability distribution was introduced in 2011. In this paper, I introduced the detection technique of the fault variables using multiple regression analysis. There are two advantages; First, it is possible to use less samples than the ascertainment technique applying to bootstrap. Second, the technique using the regression analysis is easy to apply to the actual environment because the global threshold value is used.
Domestic 105㎜ HE (High Explosive) shell is divided into three parts (Fuze, Projectile and Propellants). Among three parts, propelling charge of propellants part consists of single base propellants. The lifespan of single base propellants is affected by a storage period. These are because Nitrocellulose (NC) which is the main component of propelling gunpowder can be naturally decomposed to unstable substances similar with other nitric acid ester. Even though it cannot be prevented fundamentally from being disassembled, a decomposition product (NO2, NO3, and HNO3) and tranquillizer DPA (Diphenylamine) having high reactivity are added into a propellant to restrain induction of automatic catalysis by a decomposition product. The decay rate of the tranquillizer is also affected by a production rate of the decomposition product of NC. Therefore, an accurate prediction of the Self-Life is required so that it is ensure against risks. Hereupon, this paper presents a new methodology to estimate the shelf-life of single base propellants using data of ASRP (Ammunition Stockpile Reliability Program) to domestic 105mm HE (propelling charge of propellants part). We selected four attributes that is inferred to have influence on distribution of the DPA amount in a propellant from the ASRP dataset through data mining processes. Then the selected attributes were used as independent variables in a regression analysis in order to estimate the shelf-life of single base propellants.
The purpose of this study is to present the Market Orientation effects on Enterprise Management Performance. In order to carry out this research, we obtained 212 survey sheets and inspected ten assumptions based on the reliability, validity of the questionnaires. The results of regression analysis are summarized as follows; First, the factor of Market Orientation, intelligence generation, don’t influence on the Enterprise Management Performance significantly. Second, the element of Market Orientation, information dissemination, don’t have an important effect on the Enterprise Management Performance. Finally, the requisite of Market Orientation, information response, affects to Enterprise Management Performance significantly. Based on the results, the parts with intelligence generation and information dissemination will be improved in the manufacturer of the small businesses.