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실시간 주문 확답을 위한 데이터 마이닝 기반 운용 계획 모델
한현수,오동하 한국경영과학회 2004 經營 科學 Vol.21 No.3
In the rapidly propagating Internet based electronic transaction environment, the importance of real time order confirmation has been more emphasized. In this paper, using data mining techniques, we develop intelligent operations decision model to allow real time order confirmation at the time the customer places an order with required delivery terms. Among various operation plannings used for order fulfillment, mill routing is the first interface decision point to link the order receiving at the marketing with the production planning for order fulfillment. Though linear programming based mathematical optimization techniques are mostly used for mill routing problems, some early orders should wait until sufficient orders are gathered for optimization. And that could effect longer order fulfillment lead-time, and prevent instant order confirmation of delivery terms. To cope with this problem. we provide the intelligent decision model to allow instant order based mill routing decisions. Data mining techniques of decision trees and neural networks, which are more popular in marketing and financial applications, are used to develop the model. Through diverse computational trials with the industrial data from the steel company, we have reported that the performance of the proposed approach is effective compared to the present heuristic only mill routing results. Various issues of data mining techniques application to the mill routing problems having linear programming characteristics are also discussed.
Parameter study of lithophane for efficient reproduction of 2D image as 3D object using 3D printing
한현수,황상철,고정혁 한국마린엔지니어링학회 2019 한국마린엔지니어링학회지 Vol.43 No.10
Recently, 3D printing technology has received remarkable attention, because it enables rapid prototyping; it also offers an easy and clean way to produce complex shapes. Furthermore, as the related original patent rights on 3D printing technology have expired, it has been fused with IT technologies to create more varied applications. One of such varied applications is the lithophane printing technology for converting 2D images to 3D objects. However, the multiple parameter values that determine the output when reproducing 2D images as 3D objects has not been studied. Thus, the purpose of this study is to determine the optimal parameter values for producing lithophane. The parameters (vector per pixel, thickness, and the width of the thinnest layer) that significantly affect the quality of 3D objects among the parameters of lithophane were investigated in addition to the fabrication time. For the analysis of the parameter study, the fabricated 3D object was reconverted to 2D image through the camera, and the black and white pixels were counted using the Matlab program. Following the analysis, the following observations were made: (i.) The amount of time taken to fabricate the 3D object and the clarity of the 3D object were not proportional, (ii.) The vector per pixel had little effect on the standard deviation of the reconverted 2D image, (iii.) The difference between the thickness value and the width of the thinnest layer had a significant effect on the standard deviation of the reconverted 2D image. In conclusion, when the light was on, the clarity of the 3D object was dependent on the thickness.