• Title/Summary/Keyword: 재고관리시스템

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A Study on the Improvement of Intaglio Characters Recognition of Rubber Tires (고무타이어의 음각 문자 인식 향상에 관한 연구)

  • Yun, Hyeong-Jin;Park, Koo-Rack;Kim, Dong-Hyun
    • Journal of the Korea Convergence Society
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    • v.9 no.10
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    • pp.7-12
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    • 2018
  • In today's rapidly growing contemporary society, there is a tendency for demand to automate production processes by utilizing the vision system. In general, image recognition is mainly concerned with embossed characters such as license plates, and research on recognition of intaglio characters is very limited. Especially, intaglio characters, which are marked on rubber related products such as tire surfaces, have difficulty in recognizing characters or numbers through image because the difference in brightness with surrounding is not so large. In this paper, we propose a system to improve the recognition rate of characters marked on intaglio rubber products such as tire surfaces. Also, it can be applied flexibly according to the lighting environment. Through the proposed system, production and inventory management and defect detection can be processed quickly by applying to the production process of tire and rubber products.

Application of the BMORE Plot to Analyze Simulation Output Data with Bivariate Performance Measures (이변량 성과척도를 가지는 시뮬레이션 결과 분석을 위한 BMORE 도표의 활용)

  • Lee, Mi Lim;Lee, Jinpyo;Park, Minjae
    • Journal of the Korea Society for Simulation
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    • v.29 no.2
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    • pp.83-93
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    • 2020
  • Bivariate measure of risk and error(BMORE) plot is originally designed to depict bivariate output data and related statistics obtained from a stochastic simulation such as sample mean, median, outliers, and a boundary of a certain percentile of simulation data. When compared to the static numbers, the plot has a big advantage in visualization that enables scholars and practitioners to understand the potential variability and risk in the simulation data. In this study, beyond just the construction of the plot to depict the variability of a certain system, we add a chance constraint to the plot and apply it for decision making such as checking the feasibility of systems, comparing performances of the systems on statistical background, and also analyzing the sensitivity of the problem parameters. In order to demonstrate an application of the plot, we employ an inventory management problem as an example. However, the techniques and algorithms suggested in this paper can be applied to any other problems comparing systems on bivariate performance measures with simulation/experiment results.

A Study on the Effect of Hotel Corporate Culture on Service Quality and Organizational Output (호텔 기업 문화가 품질 및 조직 성과에 미치는 영향에 관한 연구)

  • Song, Ki-Ok
    • Culinary science and hospitality research
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    • v.16 no.1
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    • pp.191-208
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    • 2010
  • The hotel business should enhance a service quality in order to improve management skills and profits. However, when compared the size of foodservice industry and hotel, it is show that the hotel management systems are insufficient. In this respect, this study examines how the culture of hotel business affects to service quality. The results of the analysis are as follows. First, the culture of hotel business affects restaurant tendency. Consequently, the hotel, which is open-minded culture, copes with the external changes in a flexible manner. Second, the culture of hotel business affects hotel management skills. Good culture of the business creates the positive result toward the employees, customers, prime cost and inventory control. Third, hotel restaurant tendency affects to efficient hotel service quality and management performance. Fourth, change of hotel management skills brings difference of service quality and management performance. Good hotel management skills will be able to raise the competitive power between hotels. In the future, various empirical researches are continuously expected. By doing so, the result of the study helps to scholars and hotel managers.

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Rethinking Catalogers' Professionalism (정리사서 전문성 재고에 관한 연구)

  • Park, Ok-Nam
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.1
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    • pp.95-116
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    • 2011
  • The study aims at identifying catalogers' perception of competencies in cataloging. The study focuses on cataloging and classification knowledge, library systems, materials, metadata formats, authority control, foreign language, computer skills, and interdependence and personal skills. It discusses the gap between previous studies and catalogers' perceptions of competencies required for the job. It provides implications for cataloging education. It has values in that the study as an exploratory study urges continuous studies to identify how catalogers' perceptions are changed according to information environment. It will be a base to develop job descriptions for catalogers.

A Study on Business Logistics Center Research & Innovation for effective LC Development & Utilization (효율적인 물류센터 개발과 활용을 위한 국내 영업용 물류센터 현황파악과 개발방안에 대한 연구)

  • Kim, Tae-Seok;Yun, Eui-Sik;Won, Yu-Jon;Gang, Gyeong-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2005.11a
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    • pp.40-51
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    • 2005
  • 우리나라 상품의 대외경쟁력은 대체적으로 국내 물류비에서 결정된다. 이 좁은 국토(거리상으로)에서 왜 그리도 많은 내륙 물류비를 부담해야 하는 지 많은 이들이 의아해 한다. 제대로 갖추어져 있지 못한 국가차원의 사회간접자본(SOC) 시설, 승용차 중심의 도로운송시스템도 문제지만 제품공장과 수출입관문인 항만.공항간의 연결점에 있는 물류거점시설들이 활성화돼 있지 않다는 것이 요인으로 지적되고 있다. 민간업자 차원에서는 국토 요소요소에 물류센타를 세워놓고 고객들의 화물에 대한 일괄 물류서비스를 제공하려고 많은 노력들을 하고 있다. 이곳에서는 보관, 재고관리, 유통가공, 보세운송, 수배송, 물류대행, 물류컨설팅 등 종합(통합) 물류서비스들이 이루어진다. 이에 본 연구에서는 이러한 물류센터의 실태를 조사하여 수요에 따른 물류센터의 공급능력을 평가하면서 물류의 일괄서비스 측면에서의 효율성을 점검해 보고져 한다. 또한 향후 이 분야에 있는 연구나 조사 필요성이 있는 과제가 무엇인지를 검토하여 단계별 연구과제를 정의하여 체계적인 연구가 진행될 수 있도록 하는데 그 믿걸음이 되고져 한다.

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컴퓨터 탐색을 이용한 재고관리 시스템의 최적화

  • 윤승철
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.04a
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    • pp.477-480
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    • 1996
  • The main objective of this research is to develop the optimal control method for a Distribution Center - multi Branch inventory distribution system. With the continuous review policy, the distribution center places an order for specific order quantity to an outside supplier, and the order quantity is replenished after a certain lead time. Also, each branch places an order for particular order quantity to the distribution center to satisfy the customer demands, and receives the replenishment after a lead time. When an out of stock condition occurs during an order cycle, a backorder is placed to the upper level to fill the unfilled demands. With these situation, variable demand and variable lead time are used for better industrial practice. Futher, actual lead times with a generic lead time distribution are used in developing the control model. Under the actual lead time model, the customer service measures actually attained for the distribution center and each branch are explained as the effective customer service measures. Thus, throughout the optimal control (using computer search procedures), we can set the desired service levels for the distribution center and each branch to produce the effective service level for each branch which is consistent with the goal level of service for each branch. At the same time, the entire distribution system keeps minimum inventories.

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Preliminary Study for Constructing Housing Demand and Supply Mapping Model (주택수급지도 구축 기초연구)

  • Choi, Jun-Young;Kim, Yeon-Sik;Yu, Chang-Sang
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.10a
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    • pp.228-235
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    • 2008
  • 새정부 들어 주택의 안정적 공급을 위한 대책을 내놓고 있으나, 주택 수요 공급과 관련된 통계 및 정보의 종합적 관리 체계 미흡으로 주택수급상황을 파악하여 주택수급에 대처하는 주택하위 시장별 대응정보가 미비한 실정이다. 이에 따라 수급상황을 분석 및 제공하기 위한 정보시스템을 구축 "주택 수요"가 있는 곳에 "주택을 공급"하는 정책지원체계가 요구되고 있다. 이를 위해 본 연구는 행정생활권, 광역교통망, 주택사업위치, 공공 민간 사업지구 등의 GIS정보 기반에 주택 수요 공급 통계 및 정보를 분석하여 정책지원 및 대국민 서비스를 하는 정보체계인 주택수급지도(Housing Demand and Supply Mapping Model)의 구축방안을 제시하였다. 연구에서는 주택수급에 필요한 수요현황 및 예측 등 "주택수요정보"에 기초하여 주택건설, 공급, 재고 등의 "주택공급정보"를 분석하여 주택수급지도에 대한 기본설계 방안을 도출하였다. 향후 주택수급지도를 활용하여 주택수급상황을 한눈에 파악하고, 주택수요를 고려한 수요자별 맞춤형 주택공급정책을 수립할 수 있도록 지원함으로써, 지역별, 주택 규모별, 주택유형별, 인구계층별 주택수급 예측에 활용될 수 있을 것으로 기대된다.

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Application of Stochastic Optimization Method to (s, S) Inventory System ((s, S) 재고관리 시스템에 대한 확률최적화 기법의 응용)

  • Chimyung Kwon
    • Journal of the Korea Society for Simulation
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    • v.12 no.2
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    • pp.1-11
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    • 2003
  • In this paper, we focus an optimal policy focus optimal class of (s, S) inventory control systems. To this end, we use the perturbation analysis and apply a stochastic optimization algorithm to minimize the average cost over a period. We obtain the gradients of objective function with respect to ordering amount S and reorder point s via a combined perturbation method. This method uses the infinitesimal perturbation analysis and the smoothed perturbation analysis alternatively according to occurrences of ordering event changes. Our simulation results indicate that the optimal estimates of s and S obtained from a stochastic optimization algorithm are quite accurate. We consider that this may be due to the estimated gradients of little noise from the regenerative system simulation, and their effect on search procedure when we apply the stochastic optimization algorithm. The directions for future study stemming from this research pertain to extension to the more general inventory system with regard to demand distribution, backlogging policy, lead time, and review period. Another directions involves the efficiency of stochastic optimization algorithm related to searching procedure for an improving point of (s, S).

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Comparative Analysis of Prediction Performance of Aperiodic Time Series Data using LSTM and Bi-LSTM (LSTM과 Bi-LSTM을 사용한 비주기성 시계열 데이터 예측 성능 비교 분석)

  • Ju-Hyung Lee;Jun-Ki Hong
    • The Journal of Bigdata
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    • v.7 no.2
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    • pp.217-224
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    • 2022
  • Since online shopping has become common, people can easily buy fashion goods anytime, anywhere. Therefore, consumers quickly respond to various environmental variables such as weather and sales prices. Therefore, utilizing big data for efficient inventory management has become very important in the fashion industry. In this paper, the changes in sales volume of fashion goods due to changes in temperature is analyzed via the proposed big data analysis algorithm by utilizing actual big data from Korean fashion company 'A'. According to the simulation results, it was confirmed that Bidirectional-LSTM(Bi-LSTM) compared to LSTM(Long Short-Term Memory) takes more simulation time about more than 50%, but the prediction accuracy of non-periodic time series data such as clothing product sales data is the same.

Patent data analysis using clique analysis in a keyword network (키워드 네트워크의 클릭 분석을 이용한 특허 데이터 분석)

  • Kim, Hyon Hee;Kim, Donggeon;Jo, Jinnam
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.5
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    • pp.1273-1284
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    • 2016
  • In this paper, we analyzed the patents on machine learning using keyword network analysis and clique analysis. To construct a keyword network, important keywords were extracted based on the TF-IDF weight and their association, and network structure analysis and clique analysis was performed. Density and clustering coefficient of the patent keyword network are low, which shows that patent keywords on machine learning are weakly connected with each other. It is because the important patents on machine learning are mainly registered in the application system of machine learning rather thant machine learning techniques. Also, our results of clique analysis showed that the keywords found by cliques in 2005 patents are the subjects such as newsmaker verification, product forecasting, virus detection, biomarkers, and workflow management, while those in 2015 patents contain the subjects such as digital imaging, payment card, calling system, mammogram system, price prediction, etc. The clique analysis can be used not only for identifying specialized subjects, but also for search keywords in patent search systems.