Internet Data Centers (IDCs), which are resulted by the rapid progress of Information Technology industry, consist of high-density digital loads with internet server systems. Introduction of DC distribution system may simplify the conventional electric power conversion system, and may result in the improvement of electric power efficiency. However, this conjecture has never been tested under Korean IDC environment. In this study, electric power efficiency of DC distribution system from KT Namsuwon IDC is contrasted with that of conventional AC distribution system from KT Bundang IDC. DC 48[V] based distribution system showed 13.2[%] higher efficiency than the conventional AC based distribution system. The further analysis with the assumption of DC 380[V] suggests efficiency improvement over 25[%] can be achieved.
This paper proposes a procedure to improve the operational efficiency of the automotive parts manufacturing process by applying classical IE techniques composed of process analysis, work method analysis, and motion analysis, and a specific application case is outlined. The proposed procedure was developed originally by the Task Force organized in L company's automotive parts manufacturing business unit. The balance efficiency and production capacity were used as measures of operational efficiency. The developed procedure follows the general procedure of analyzing the phenomenon at the manufacturing shop, deriving an improvement solution to solve the problem, evaluating each derived alternative, and implementing it to the field to achieve productivity improvement. Among the methods used in each phase of the procedure, function analysis used in the waste discovery phase and R&R evaluation method used in the alternative assessment phase are unique techniques developed by L company's TF. The R&R Evaluation method techniques are described in detail because this method is highly applicable and extensible. A case of applying developed procedures to improve the EPS motor manufacturing process is discussed. As a result, the line balance efficiency and production capacity were increased to a satisfactory level.
The purpoose of this paper is to analyze the relative effciency of dreid laver processing companies in Korea and provide the development direction and improvement plan for the dried laver industry. Data on 76 dried laver processing companies were selected as the subjects for Dea. As a result of Dea, the average efficiency rate is shown that the technical efficiency is 84.90%, the pure technical efficiency is 93.83%, and the scale efficiency is 86.65%. and based on BCC results 38 companies are relatively efficient. comparing pure technical efficiency and scale efficiency, it showed that inefficiencies caused by scale of the company was greater than inefficiencies caused by the scale of technical matter. It implies that expanding the size is essential for achieving high-efficiency of dried laver processing company. In the inefficiency factor analysis, the result reveals that unstable supply of raw materials, quality management, capital flexibility and distribution ability influence the efficiency of laver processing company.
Purpose - Despite the importance of price, many companies do not implement pricing policies smoothly, because typical price management strategies insufficiently consider logistics efficiency and an increase in logistics costs due to logistics waste. This study attempts to examine the effect of product line pricing, which corresponds to product mix pricing, on logistics efficiency in the case of manufacturer A, and analyzes how logistics performance changes in response to these variables. Research design, data, and methodology - This study, based on the case of manufacturer A, involved research through understanding the current status, analyses, and then proposing improvement measures. Among all the products of manufacturer A, product group B was selected as the research object, and its distribution channel and line pricing were examined. As a result of simulation, for products with low loading efficiency, improvement measures such as changing the number of bags in the box were suggested, and a quantitative analysis was conducted on how these measures influence logistics costs. The TOPS program was used for the Pallet loading efficiency simulation tool in this study. To prevent products from protruding out of the pallet, the maximum measurement was set as 0.0mm, and loading efficiency was based on the pallet area, and not volume. In other words, its size (length x width) was focused upon, following the purpose of this study and, then, the results were obtained. Results - As a result of the loading efficiency simulation, when the number of bags in the box was changed for 36 products with low average loading efficiency of 73.7%, as shown in