Due to global environmental regulations and policies with rapid advancement of renewable energy technologies, the development type of renewable energy sources (RES) in power systems is expanding from small-scale distributed generation to large-scale grid-connected systems. In the near future, it is expected that RES achieves grid parity which means the equilibrium point where the power cost of RES is equal to the power costs of conventional generators. However, although RES would achieve the grid parity, the cost related with development of large-scale RES is still a big burden. Furthermore, it is hard to determine a suitable capacity of RES because of their output characteristics affected by locations and weather effects. Therefore, to determine an optimal capacity for RES becomes an important decision-making problem. This study proposes a method for determining an optimal installed capacity of RES from the business viewpoint of an independent power plant (IPP). In order to verify the proposed method, we have performed case studies on real power system in Incheon and Shiheung areas, South Korea.
Purpose - The purpose of this study was to propose a specific and empirical continuous transaction strategy through service quality of improvement to small and medium Korean companies whose main business is B2B distribution and sale of general-purpose SW. Research design, data, and methodology - The research procedure is largely divided into two phases. In the first phase, the service quality, the customer satisfaction, and the continuous transaction research hypothesis and the verification are carried out. Experimental data were collected from 450 companies, CEO companies of SMEs innovation institutes, and 510 companies from medium and large enterprises. From September 15 to October 5, 2015, 215 questionnaires were used. And research hypothesis and test were conducted by SPSS SW Ver. 20. Results - The results of the study confirm that service quality has a positive effect on customer satisfaction and continuous transaction: as the detailed items for improving the service quality, 'responsiveness', 'assurance' and 'empathy' have been adopted. Therefore, there are critical factors of a company's survival through continuous transaction. Conclusions - Through this study, we confirmed that the survival of small businesses require continuous improvement in service quality. Among the factors improving service quality, empathy means service satisfaction of customers; so, it is necessary to continuously improve it by evaluating customer satisfaction. Responsiveness means rapid response to customer needs and reliability; it is necessary to enhance customer responsiveness by continuous job training and service training. Finally, assurance is the same as sales product or after service. This means that it is necessary to not only issue the "supply contract," but also improve the reliability of the sales product by securing the competence of the consulting professional. However, because the service quality measurement factors selected in this study are the measurement factors that are mainly applied to large companies or those in the service industries, it is important to consider the type of sales of software distribution companies.
The governments of almost countries have the rules and procedures that the purchasing entities have to follow, in order to ensure that the best value for money spent is obtained in procuring goods and services. However, there are often some of important problems in their rules relating to government procurement. Namely, almost countries have a variety of discriminatory regulations for foreign suppliers in the government procurement laws with the object of national security, economic welfare, and protection of domestic market from international competition. For this reason, several advanced countries had reached the Plurilateral Agreement on Government Procurement during Tokyo Round(1973-1979) and Uruguay Round(1986-1994). However, the provisions of two agreements do not apply to all products made by the government but only to those made by purchasing entities specified by each member country in its list in the Appendix. Accordingly, the size of goods and services purchased from foreign suppliers were comparatively not large. As we know well, the United States have spent a large amount of money from federal and state government budget. But the portion of procurement from foreign suppliers is still small, compared with the portion of procurement from domestic suppliers. The main reason are that U.S. has applied for long time the so-called Buy American Act to government procurement positively and maintained many kinds of other domestic regulations which have discriminatory provisions for foreign goods and foreign suppliers. On the recognition of these points, this thesis deals with the Buy American Act and other U.S. domestic laws, regional and bilateral, and plurilateral agreements including WTO Agreement on Government Procurement. As a result, the author found that there are several concerns and problems in the U.S. regulations relating to government procurement. It include the provisions on priority procurement of U.S.-produced products, local contents requirements, set-aside procurement from small business, and exclusion of preferential procurement from the developing countries.
There is an increasing need to apply artificial intelligence to the real application fields of industry. These include an intelligent process control, an expert machine and a diagnostic and/or maintenance machine. These applications are implemented in AI Languages. It is commonly recognized that AI Languages, such as Common Lisp or Prolog, require a workstation. This is mainly due to the fact that both languages need a large amount of memory space and disk storage space. Workstations are appropriate for a laboratory or office environment. However, they are too bulky to use in the real application fields of industry or business. Also users who apply artificial intelligence to these fields wish to have their own operating systems. We propose a new design method of an intelligent controller which is embedded within equipment and provides easy-to-use tools for artificial intelligence applications. In this paper we describe the new design method of a VMEbus based intelligent controller for artificial intelligence applications and a small operating system which supports Common Lisp and Prolog.
Purpose - In recent years, many firms have attempted various approaches to cope with the continual increase of aviation transportation. The previous research into freight charge forecasting models has focused on regression analyses using a few influence factors to calculate the future price. However, these approaches have limitations that make them difficult to apply into practice: They cannot respond promptly to small price changes and their predictive power is relatively low. Therefore, the current study proposes a freight charge-forecasting model using time series data instead a regression approach. The main purposes of this study can thus be summarized as follows. First, a proper model for freight charge using the autoregressive integrated moving average (ARIMA) model, which is mainly used for time series forecast, is presented. Second, a modified ARIMA model for freight charge prediction and the standard process of determining freight charge based on the model is presented. Third, a straightforward freight charge prediction model for practitioners to apply and utilize is presented. Research design, data, and methodology - To develop a new freight charge model, this study proposes the ARIMAC(p,q) model, which applies time difference constantly to address the correlation coefficient (autocorrelation function and partial autocorrelation function) problem as it appears in the ARIMA(p,q) model and materialize an error-adjusted ARIMAC(p,q). Cargo Account Settlement Systems (CASS) data from the International Air Transport Association (IATA) are used to predict the air freight charge. In the modeling, freight charge data for 72 months (from January 2006 to December 2011) are used for the training set, and a prediction interval of 23 months (from January 2012 to November 2013) is used for the validation set. The freight charge from November 2012 to November 2013 is predicted for three routes - Los Angeles, Miami, and Vienna - and the accuracy of the prediction interval is analyzed using mean absolute percentage error (MAPE). Results - The result of the proposed model shows better accuracy of prediction because the MAPE of the error-adjusted ARIMAC model is 10% and the MAPE of ARIMAC is 11.2% for the L.A. route. For the Miami route, the proposed model also shows slightly better accuracy in that the MAPE of the error-adjusted ARIMAC model is 3.5%, while that of ARIMAC is 3.7%. However, for the Vienna route, the accuracy of ARIMAC is better because the MAPE of ARIMAC is 14.5% and the MAPE of the error-adjusted ARIMAC model is 15.7%. Conclusions - The accuracy of the error-adjusted ARIMAC model appears better when a route's freight charge variance is large, and the accuracy of ARIMA is better when the freight charge variance is small or has a trend of ascent or descent. From the results, it can be concluded that the ARIMAC model, which uses moving averages, has less predictive power for small price changes, while the error-adjusted ARIMAC model, which uses error correction, has the advantage of being able to respond to price changes quickly.
The purpose of this study was to investigate and analyze the actual condition of operation of specialized technical high school in small-medium enterprises area. This study collected data through face-to-face interviews and telephone interviews with teachers in charge of specialization in 29 schools that were selected as specialized technical high schools in small-medium enterprises area. The finding of this study were as follows: First, 29 specialized technical high schools in small-medium enterprises area were specialized in manufacturing industry-based technology and supportive business for the manufacturing Industry, manufacturing industry-based technology was occupied a large portion of 79%. Second, the competition rates for entrance were relatively low in 2006 and 2007 as 1.01. Third, female teachers were occupied 32% among the entire teachers, but there were only 14% among teachers higher than teachers with assignment. Fourth, the possession rate of experimental and practice room was relatively stable as 94% while the possession rate of equipments was somewhat low as 76.4%. Lastly, this study found through analysis that more than 70% of schools were operating other business entities at the same time.
The Purpose of this research is to analyze and discuss the development of yellowtail aquaculture industry in Japan and its management structure. The research includes the following : (a) It confirms the industrial conditions of yellowtail aqaculture which has a national technical and mass production system that has been developed at great speed. (b) It analyzes yellowtail aqaculture development from a family - oriented management to a large scale production. (c) It examines how the fisheries cooperatives harmonized their role with the object of individual aqaculture management and aqaculture fishing ground management. The reasons for this study focusing on the yellowtail aqaculture industry of Japan are : (a) The yellowtail aqaculture is regared as a typical field in aqaculture because it reflects the general aqaculture history, quantity of fisheries aqaculture product, the number of fishermen involved in this industry, technology , and the live and fish market formation in Japan. (b) The aqaculture has the most powerful entrepreneurial in financial and management style. The aqaculture industry also has a most individual management style which includes planned production and shipping strategy. This research has attempted to study the industrial processes of fisheries aqaculture industry and its management development, and focused on the yellowtail aqaculture industry of Japan. This work also includes data about the aqaculture management of fisheries cooperatives and case by case analysis of aqaculture production. The following results were obtained from this study : First, even though ocean, weather conditions, and widespread propagation of places suitable for aqaculture in Japan were crucial factors in aqaculture development, it must be pointed out that fisheries policy in Japan changed from "catching" in the 1960s to "cultivating". Second, the widespread course of fisheries cultivating technology in Japan has had two characteristics. One is that early aqaculture technology spread to the southern part of Japan and the other is that the metal nets were widely used in the northern part in the 1970s. Japan's yellowtail aqaculture industry's overproduction was due to metal nets. However, the use of mwtal nets also contributed to the improvement of aqaculture and the strategic aspects of aqaculture management. In addition, it should be stressed that Kagoshima prefecture as the pioneer of metal nets contributed to fisheries aqaculture development in japan. Third, as aqaculture technology developed, entrepreneurial qualities of aqaculture management also developed this field into a large scale business. Even though it is not clear, large scale management of yellowtail aqaculture shows evidence of superiority over small andmedium - size management of yellowtail aqaculture. Fourth, yellowtail aqaculture management in Japan hascontributed to the production system and aqaculture strategy to meet consumers' needs and market demands from weather - oriented trational fisheries industry, which overcame their overproduction structure. Fifth, Japanese fisheries cooperative played very important roles in the prevention of fishing grounds production from destruction and in promoting suitable aqaculture facilities so that aqaculture could grow continually.ld grow continually.
At present, electronic commerce is relatively small, but it may crease on a large scale in the near future, the increasing use of electronic commerce over Internet raises question about issues in cyberspace, For that reason this study I identified several problems which currently represent an obstacle for the wider use of electronic commerce mechanisms over Internet and contemplated the international movements and Korea's response of electronic commerce on major issues, Eventually, in order to cope with Internet Round and ensure the stable growth of Electronic Commerce in Korea, the government needs to construct a predictable standards and Commercial environment, suitable to the both the situations of Electronic Commerce, for business conduct on the Internet.
The article 49-2 of Industrial Safety Law requires that all the owners of industrial plants which contains dangerous facilities perform the process safety management. That is, this law requires the owners of industrial plants to take necessary measures to prevent fire, harmful gas leaking, explosion, and other serious accidents that could cause demage and injuries to the employees. So far, domestic chemical plants have tried to invest money and time in safety management. But, such efforts have been made only in chemical plants that were subsidiaries of large business groups. Moreover, since the economic crisis of Korea which is symbolized by the IMF bailout, small and medium size companies could not afford to invest in safety management. Their major concern is to increase productivity and thereby, survive in this crisis. The goal of this research is to develop the process safety management system that can help small and medium size companies to positively secure the process safety management. So, in developing the process safety management system, the financial and practical difficulties of such companies are fully taken into consideration.
This paper investigates the effects of non-normality on the performance of univariate and multivariate cumulative sum(CUSUM) control charts for monitoring the process mean. In-control and out-of-control average run lengths of the charts are examined for the univariate/multivariate lognormal and t distributions. The effects of the reference value and the correlation coefficient under the non-normal distributions are also studied. Simulation results show that the CUSUM charts with small reference values are robust to non-normality but those with moderate or large reference values are sensitive to non-normal data especially to process data from skewed distributions. The performance of the chart to detect mean shift of a process is not invariant to the direction of the shift for skewed distributions.
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