• Title/Summary/Keyword: Distribution Planning

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Treatment planning of Lung Cancer with Density corrected Computed Tomography (밀도를 입력한 CT planning을 이용한 Lung Cancer의 치료계획)

  • 김성규;김명세;신세원;홍정숙
    • Progress in Medical Physics
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    • v.4 no.2
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    • pp.19-25
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    • 1993
  • Treatment planning of lung cancer with density corrected Computed tomography. Eighty-seven patients with lung cnacer who had radiation therapy in Yeungnam University Medical Center between, April 1 1990 and Aug. 30 1993 were retrospectively evaluated total tumor dose, dose distribution, field correction, and loading change, compared with contour or CT image planning and density corrected CT planning. In dose distribution, higher dose was calculated in compare with density corrected CT planning less than 5% difference were found in 45 patient(52%), 5-10% in 25 patients (29%), 10-15% in 15 patients (17%) and over 15% in 2 patients (2%). Correction of treatment field was performed in 18 patients (21%) and changing of dose loading was given in 15 patients (17%). In conclusion, we emphasize that density corrected CT planning is the very important factor which contribute to increase therapeutic gain by exact selection of target volume, target dose, normal tissue dose and dose of critical organ.

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An Assessment of Planning and Implementing on Home Education Effect on the Soundness of Home Life (가정교육에 대한 계획 및 수행이 가정건전도에 미치는 영향평가)

  • 이영호
    • Journal of Families and Better Life
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    • v.15 no.2
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    • pp.87-98
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    • 1997
  • The purpose of this study were to examine the relationship among the planning implementing and satisfaction on home education and the soundness of home life. The samples were composed of 629 parents(home educators) selected by family life cycle and local distribution. Consequently the findings of this study were that planning have a significant effect on implementing on home education. Also implementing have a more significant effect on soundness of home life than satisfaction on home education.

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Design of a Demand Forecasting System for Planning Production of Consumer Products (다품종(多品種) 소비자(消費者) 제품(製品)의 생산관리(生産管理)를 위(爲)한 수요예측모형(需要豫測模型))

  • Park, Jin-U
    • Journal of Korean Institute of Industrial Engineers
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    • v.12 no.1
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    • pp.55-61
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    • 1986
  • Mathematical forecasting models and a practical computer based forecasting system are developed for planning production in a manufacturing and distribution network. The forecasting system works at the highest level of a hierarchical computer-based decision support system consisting of the forecasting system, an aggregate planning system and a shop floor scheduling system. The dynamics of business operations for an actual company have been considered to make this study a unique comprehensive analysis of a real world forecasting problem.

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Analysis on Thermal Environment of Marathon Course in 2011 Daegu World Championship in Athletics (대구 세계육상선수권대회 마라톤 구간의 열환경변화분석)

  • Baek, Sang-Hun;Oh, Sang-Hak;Jung, Yong-Hun;Jung, Eung-Ho
    • Journal of Environmental Science International
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    • v.20 no.7
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    • pp.881-890
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    • 2011
  • In this study, thermal environment changes for a marathon course of IAAF World Championship, Daegu 2011 were modeled to provide improvements of thermal environment, so that runners could have the maximum condition and citizens pleasant streets. The three biggest size of intersections were selected for the study. Envi-met, 3G microclimate model, were used for a thermal environment analysis and three different cases - present status, planting roadside tree scenario, and roof-garden scenario - were compared. The followings are the results of the study. 1. The highest thermal distribution were shown at 1 p.m., but there was no significant difference between a thermal distribution at 1 p.m. and that at 5 p.m. since a heat flux from buildings affects thermal distributions rather than insolation does. 2. Tree planting or adding environmental friendly factors might lead a temperature drop effect, but the effect was not significant for areas covered with impermeability packing materials such as concrete or asphalt (especally, for Site case 2) 3. The combination of tree planting and adding environmental friendly factors also brought a temperature drop effect (Site 1 and 2) and this case showed even better result if green spaces (especially, parks) were closed.

A Study on Demand Selection in Supply Chain Distribution Planning under Service Level Constraints (서비스 수준 제약하의 공급망 분배계획을 위한 수요선택 방안에 관한 연구)

  • Park, Gi-Tae;Kim, Sung-Shick;Kwon, Ick-Hyun
    • Journal of the Korea Society for Simulation
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    • v.15 no.3
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    • pp.39-47
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    • 2006
  • In most of supply chain planning practices, the estimated demands, which are forecasted for each individual period in a forecasting window, are regarded as deterministic. But, in reality, the forecasted demands for the periods of a given horizon are stochastically distributed. Instead of using a safety stock, this study considers a direct control of service level by choosing the demand used in planning from the distributed forecasted demand values for the corresponding period. Using the demand quantile and echelon stock concept, we propose a simple but efficient heuristic algorithm for multi-echelon serial systems under service level constraints. Through a comprehensive simulation study, the proposed algorithm was shown to be very accurate compared with the optimal solutions.

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Design of Probabilistic Model for Optimum Manpower Planning in R&D Department (연구개발 부문 적정인력 산정을 위한 확률적 모형설계에 관한 연구)

  • Kim, ChongMan;Ahn, JungJin;Kim, ByungSoo
    • Journal of Korean Society for Quality Management
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    • v.41 no.1
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    • pp.149-162
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    • 2013
  • Purpose: The purpose of this study was to design of a probabilistic model for optimum manpower planning in R&D department by Montecarlo simulation. Methods: We investigate the process and the requirement of manpower planning and scheduling in R&D department. The empirical distributions of necessary time and manpower for R&D projects are developed. From the empirical distributions, we can estimate a probability distribution of optimum manpower in R&D department. A simulation method of estimating the probability distribution of optimum manpower is considered. It is a useful tool for obtaining the sum, the variance and other statistics of the distributions. Results: The real industry cases are given and the properties of the model are investigated by Montecarlo Simulation. we apply the model to the research laboratory of the global company, and investigate and compensate the weak points of the model. Conclusion: The proposed model provides various and correct information such as average, variance, percentile, minimum, maximum and so on. A decision maker of a company can easily develop the future plan and the task of researchers may be allocated properly. we expect that the productivity can be improved by this study. The results of this study can be also applied to other areas including shipbuilding, construction, and consulting areas.

A Decision Support System for an Optimal Transportation Network Planning in the Third Party Logistics

  • Park, Yong-Sung;Choi, Hyung-Rim;Kim, Hyun-Soo;Park, Nam-Kyu;Cho, Jae-Hyung;Gang, Moo-Hong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2006.10a
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    • pp.240-257
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    • 2006
  • In an effort to gain competitiveness, recently many companies are trying to outsource their logistics activities to the logistics specialists, while concentrating on their core and strategic business area. Because of this trend, the third party logistics comes to the fore, catching people's attention, and expanding its market rapidly. Under these circumstances, the third party logistics companies are making every effort to improve their logistics services and to develop an information system in order to enhance their competitiveness. In particular, among these efforts one of the critical parts is the decision support system for effective transportation network planning. To this end, this study has developed an efficient decision support system for an optimal transportation network planning by comprehensively considering the transportation mode, routing, assignment, and schedule. As a result of this study, the new system enables the expansion of the third party logistics companies' services including the multimodal transportation, not to mention one mode of transportation, and also gets them ready to plan an international transportation network.

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Color Characteristics of Foreign Men's Premium Outer Brand (해외 남성 프리미엄 아우터 브랜드의 색채 특성)

  • Hong, YunJung
    • Journal of Fashion Business
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    • v.26 no.2
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    • pp.48-66
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    • 2022
  • This study aimed to investigate and analyze the overall color utilization characteristics as design elements of advanced men's premium outer brands. From the analysis of a total of 889 color samples, PB showed the highest distribution in color, Bk, R, and P. The use of ltg and p of high and low chroma was high, centering on dkg of low value and low chroma, and g of medium chroma. The men's premium outer brand displays a luxurious color image centered on color planning due to color contrast between dark and grayish shades. The characteristics of colors and color distribution by brand were considered. The brands that utilized the most diverse colors and shades were Herno, which pursues sportswear of the Elegance image, and Stone Island, which pursues casual images of workwear style. These results show that systematic planning using colors and shades are utilized by all premium outer brand concept. The results of this study are meaningful because they can be used as basic data for effective product planning, men's outer design development, and color planning of outer clothing brands are they represent premium outer brands for men, and identifies color characteristics as differentiated design elements.

Optimal Routing for Distribution System Planning using New Adaptive GA (새로운 적응 유전 알고리즘을 이용한 배전계통계획의 최적경로탐색)

  • Kim, Min-Soo;Kim, Byung-Seop;Lee, Tae-Hyung;Shin, Joong-Rin
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.137-141
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    • 2000
  • This paper presents an application of a new Adaptive Genetic Algorithms(AGA) to solve the Optimal Routing problem(ORP) for distribution system planning. In general, since the ORP is modeled as a mixed integer problem with some various mathematical constraints, it is hard to solve the problem. In this paper, we proposed a new adaptive strategy in GA to overcome the premature convergence and improve the convergence efficiency. And for these purposes, we proposed a fitness function suited for the ORP. In the proposed AGA, we used specially designed adaptive probabilities for genetic operators to consider the characteristics of distribution systems that are operated under radial configuration. The proposed algorithm has been tested in sample networks and the results are presented.

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