• Title/Summary/Keyword: Business Layer

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Development of Data Object Layer (DOL) In Object-Oriented ERP Systems (객체지향 ERP 시스템에서 데이터 객체 계층의 구축)

  • Kim, Chang-Ouk;Jun, Jin
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.23 no.58
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    • pp.1-16
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    • 2000
  • To develop a generic ERP(Enterprise Resource Planning) system which can accommodate various types of manufacturing enterprises, object-oriented methods are commonly applied from analysis to implementation. The objective of OO-ERP (Object-Oriented ERP) systems is the reusability of business objects(components). In practice, one of the critical features for the reusable OO-ERP system would be the capability of interfacing with distributed, heterogeneous data repositories. Consequently, it is essential to provide data repository transparency in OO-ERP systems - business objects do not take care of the locations and types of data repositories. In this paper, we propose Data Object Layer(DOL) that supports such transparency. DOL is a horizontal component through which OO-ERP systems can be seamlessly connected with diverse data repositories.

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The Study of the Charge Transport on the Surface Layer of the Patterned Vertical Alignment(PVA) Mode

  • Choi, Nak-Cho;You, Jae-Yong;Jung, Ji-Young;Rhie, Kung-Won;Shin, Sung-Tae
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08a
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    • pp.571-573
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    • 2007
  • It is known that the main source of the area image sticking is the ion charge adsorption on the alignment layer. We found out that the adsorption of the ion charge of the liquid crystal in the cell was physisorption, which takes place between all molecules on any surface providing the adsorption force is small.

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Successful Examples of 3D Printing Technology-based Start-up Enterprises (3D 프린팅 기술 기반 창업 성공 사례)

  • Shim, Jin-Hyung;Yun, Won Soo;Ko, Tae Jo
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.15 no.2
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    • pp.104-110
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    • 2016
  • The process of three-dimensional (3D) printing (also known as "rapid prototyping" and "additive manufacturing") uses computer-created digital models to produce 3D objects with a desired shape by stacking materials through a layer-by-layer process. The industrial potential and feasibility of 3D printing technology were recently highlighted in President Obama's State of the Union address in 2013. Since his speech, worldwide investment in and attention toward 3D printing technology have increased explosively. In addition, a number of 3D printing technology-based start-up companies have been established and evaluated as emerging enterprises making successful business models. In this paper, successful start-up companies (domestic and overseas) based on 3D printing technology will be reviewed.

Developing Designs and Making Men's Outdoor Breathable Waterproof Jackets with Solar Cells for Emergency Communications

  • Park, Jinhee
    • Journal of Fashion Business
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    • v.18 no.3
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    • pp.59-72
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    • 2014
  • This study provides the structural design for commercialization of outdoor breathable waterproof jackets for men merged with solar cells to enable emergency communications, utilizing wearable devices to develop smart clothing and extend convenience in everyday life. The most popular waterproof jacket with two-layer and three-layer moisture-permeable waterproof fabric was selected, based on previous studies of functional outdoor jackets and style with affinity to fashion. Flexible solar films suitable for clothing were embedded in the lining of the sleeve area and hood visor, and printed film was developed to balance weight and design. High performance smart solar jackets have application to expanding the use of smart phones for everyday and emergency communication, and leisure and outdoor sports activities, as well as day-to-day functions as a waterproof breathable outdoor jacket for men. It is also eco-friendly. Satisfying both the aesthetic and practical, a solar cell jacket with smart features, is an innovative tool for use in a variety of outdoor activities, and a fashion-forward commercialized product.

Comparative Study on Microstructures of Hot-rolled STS 304L/A516-70N and STS 316L/A516-70N Clad Plates (열간압연으로 제조된 STS 304L/A516-70N과 STS 316L/A516-70N 클래드재들의 미세조직에 대한 비교 연구)

  • Jin, Ju-Chan;Cho, Soochul;Sim, Hoseop;Lee, Young-Kook
    • Journal of the Korean Society for Heat Treatment
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    • v.34 no.4
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    • pp.171-178
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    • 2021
  • In the present study, we comparatively investigated the microstructures of two hot-rolled stainless steel clad plates; STS 304L - low carbon steel A516-70N and STS 316L - A516-70N. The STS 304L/A516-70N clad plate (Clad_304L_Ni) had a Ni-interlayer between stainless steel and carbon steel and a 90 ㎛ thick deformation band of unrecrystallized austenite grains on the stainless steel. The STS 316L/A516-70N clad plate (Clad_316L) had no interlayer and almost fully recrystallized austenite grains. Clad_304L_Ni exhibited the thinner a decarburized layer in carbon steel and a total carburized layer in stainless steel than Clad_316L. However, a severely carburized layer in stainless steel was thicker for Clad_304L_Ni than Clad_316L. Hardness profiles near the interface of clad plates matched well with microstructures at locations where the hardness values were measured.

A comparison of neural networks to ols regression in process/quality control applications

  • Nam, Kyungdoo;Sanford, Clive C.;Jayakumar, Maliyakal D.
    • Korean Management Science Review
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    • v.11 no.2
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    • pp.133-146
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    • 1994
  • This study compares the performance of neural networks and ordinary least squares regression with quality-control processes. We examine the applicability of neural networks because they do not require any assumptions regarding either the functional from of the underlying process or the distribution of errors. The coefficient of determination($R^2$), mean absolute deviation(MAD), and the mean squared error(MSE) metrics indicate that neural networks are a viable and can be a superior technique. We also demonstrate that an assessment of the magnitude of the neural notwork input layer cumulative weights can be used to determine the relative importance of predictor variables.

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The Study on Taxonomy of Port Logistics Business Caused by Cyber Space Marketization-The case of ship bunkering - (공간시장화에 따른 항만물류산업의 비즈니스 분류에 관한 연구-선박급유업을 중심으로-)

  • Lee, Jae-Won;Lee, Hong-Girl;Lee, Cheol-Yeong
    • Journal of Navigation and Port Research
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    • v.28 no.1
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    • pp.51-58
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    • 2004
  • Due to the changes in market place, new business types(e.g. e-business} have been rapidly emerged and increased. However, those new business types have not much been emerged in port and logistics related industries, and adoption rate of e-business in this area is very low, compared to other industries. Thus, to promote e-business in this area, many policies have been studied. However, most of previous studies have not been based on industrial structure, and results of these studies have mostly been case by case. Further, there have been no research based on the related theories. As a result, despite many of research and project for shipping and port related e-business, prominent achievements in this area have never to be presented. For these reasons, it am be stated that, first of all, basic studies related to new business types in shipping and port are needed, and then, various policies based on results of those basic studies should be discussed. The aim of this study is to classify business types existed (or expected) in a port related industry, ship bunkering. This taxonomy was based on theories related to business layer(BL) and value chain(VC), and these BL and VC combination enabled to acquire all possible business types.

A Study on Influence of Corporate Factor and ITO Range Factor on Outsourcing Performance -Moderating Effect of Supplier Suitability

  • YI, Seon-Gyu
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.2
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    • pp.111-117
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    • 2017
  • This study analyzes the relative importance of the introducing factors for the critical success factors in the implementation stage of the lifecycle of ERP system using Delphi technique and Analytic Hierarchy Process(AHP). In the 1st layer of the hierarchy, technical factor is evaluated as the most important factor among organizational, technical, and supplier factors. In the 2nd layer, choosing a proper ERP package is evaluated as the most important factor within 15 factors followed by process-oriented approach, technical suitability, minimized customization, integration and association of system with trading parter, association with legacy systems, and support and involvement of top management. As a result of this analysis enterprise should choose an ERP package that is suitable to its business environment, and make the best use of(take full advantage of) best practice that ERP package provides to optimize the existing business procedure or process(to approach the existing business procedure or process). This study also shows the range of customization of the features provided by the ERP package should be minimized.

A Study on the Prediction Diagnosis System Improvement by Error Terms and Learning Methodologies Application (오차항과 러닝 기법을 활용한 예측진단 시스템 개선 방안 연구)

  • Kim, Myung Joon;Park, Youngho;Kim, Tai Kyoo;Jung, Jae-Seok
    • Journal of Korean Society for Quality Management
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    • v.47 no.4
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    • pp.783-793
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    • 2019
  • Purpose: The purpose of this study is to apply the machine and deep learning methodology on error terms which are continuously auto-generated on the sensors with specific time period and prove the improvement effects of power generator prediction diagnosis system by comparing detection ability. Methods: The SVM(Support Vector Machine) and MLP(Multi Layer Perception) learning procedures were applied for predicting the target values and sequentially producing the error terms for confirming the detection improvement effects of suggested application. For checking the effectiveness of suggested procedures, several detection methodologies such as Cusum and EWMA were used for the comparison. Results: The statistical analysis result shows that without noticing the sequential trivial changes on current diagnosis system, suggested approach based on the error term diagnosis is sensing the changes in the very early stages. Conclusion: Using pattern of error terms as a diagnosis tool for the safety control process with SVM and MLP learning procedure, unusual symptoms could be detected earlier than current prediction system. By combining the suggested error term management methodology with current process seems to be meaningful for sustainable safety condition by early detecting the symptoms.

An Analysis of the Importance of the Success Factors in Implementation Stage of ERP System

  • YI, Seon-Gyu;Kim, Jong-Ju
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.12
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    • pp.165-171
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    • 2016
  • This study analyzes the relative importance of the introducing factors for the critical success factors in the implementation stage of the lifecycle of ERP system using Delphi technique and Analytic Hierarchy Process(AHP). In the 1st layer of the hierarchy, technical factor is evaluated as the most important factor among organizational, technical, and supplier factors. In the 2nd layer, choosing a proper ERP package is evaluated as the most important factor within 15 factors followed by process-oriented approach, technical suitability, minimized customization, integration and association of system with trading parter, association with legacy systems, and support and involvement of top management. As a result of this analysis enterprise should choose an ERP package that is suitable to its business environment, and make the best use of(take full advantage of) best practice that ERP package provides to optimize the existing business procedure or process(to approach the existing business procedure or process). This study also shows the range of customization of the features provided by the ERP package should be minimized.