• Title/Summary/Keyword: best management

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BEST PRACTICES FOR JOINT VENTURES: ISSUES AND CRITICAL SUCCESS FACTORS

  • Rizwan U. Farooqui;Syed M. Ahmed;Dilshad Umer
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.369-374
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    • 2009
  • Project-based joint ventures are often used in the construction industry to assemble an organization that meets a client's project needs and matches or exceeds the capacities of competitors. The joint venture / partnerships provides the means for a firm to quickly add resource, political, technical, or other required strengths that will increase project acquisition. This paper sets out to study the types of joint ventures, different issues or problems while having joint ventures and the critical factors that contribute to successful joint ventures. A questionnaire was designed and administered to survey the issues and present practices of joint ventures in the South Florida construction industry. Along with the questionnaire, personnel interviews were also conducted to get first hand knowledge about the subject matter. The results are presented in the paper. These results specifically identify the overall practice of joint ventures in South Florida as well as indicate the most significant factors leading to failure or success of these ventures.

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Multiattribute Stochastic Statistical Dominance in Decision Making with Incomplete Information (불완전한 정보하의 의사결정하에서의 아중요인 추계적-통계적 우세법칙)

  • 이대주
    • Journal of the Korean Operations Research and Management Science Society
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    • v.18 no.2
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    • pp.45-55
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    • 1993
  • In multiattribute decision making a decision maker (DM) can choose the best alternative if his/her multiattribute utility function and the joint probability distribution of outcomes are exactly known. This paper develops multiattribute stochastic-statistical dominance rules which can be applied to the situation when neither of them is known exactly, that is, when the DM cannot calculate the expected utility for each alternative. First, the notion of relative risk aversion is used dominance rules are developed to screen out dominated alternatives so that hi/she choose the best one among the remaining nondominated alternatives.

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A Tabu Search Method for K-anonymity in database privacy protection

  • Run, Cui;Kim, Hyoung-Joong
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.04a
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    • pp.990-992
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    • 2011
  • In this paper, we introduce a new Tabu method to get K-anonymity character in database information privacy protection. We use the conception of lattice to form the solution space for K-anonymity Character and search the solution area in this solution space to achieve the best or best approach modification solution for the information in the database. We then compared the Tabu method with other traditional heuristic method and our method show a better solution in most of the cases.

Investigating the Impact of Best Management Practices on Nonpoint Source Pollution from Agricultural Lands

  • ;Saied Mostaghimi
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.32 no.E
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    • pp.1-19
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    • 1990
  • Abstract Over the last several decades, crop production in the United States increased largely due to the extensive use of animal waste and fertilizers as plant nutrient supplements, and pesticides for crops pests and weed control. Without the application of animal waste best management, the use of animal waste can result in nonpoint source pollution from agricultural land area. In order to increase nutrient levels and decrease contamination from agricultural lands, nonpoint source pollution is responsible for water quality degradation. Nonpoint source pollutants such as animal waste, ferilizers, and pesticides are transported primarily through runoff from agricultural areas. Nutrients, primarily nitrogen and phosphorus, can be a major water quality problem because they cause eutrophic algae growth. In 1985, it was presented that Watershed/Water Quality Monitoring for Evaluation BMP Effectiveness was implemented for Nomini Creek Watershed, located in Westmoreland County, Virginia. The watershed is predominantly agricultural and has an aerial extent of 1505 ha of land, with 43% under cropland, 54% under woodland, and 3% as homestead and roads. Rainfall data was collected at the watershed from raingages located at sites PNI through PN 7. Streams at stations QN I and QN2 were being measured with V-notch weirs. Water levels at the stream was measured using an FW-l Belfort (Friez FWl). The water quality monitoring system was designed to provide comprehensive assessment of the quality of storm runoff and baseflow as influenced by changes in landuse, agronomic, and cultural practices ill the watershed. As this study was concerned with the Nomini Creek Watershed, the separation of storm runoff and baseflow measured at QNI and QN2 was given by the master depletion curve method, and the loadings of baseflow and storm runoff for TN (Total Nitrogen) and TP (Total Phosphorus) were analyzed from 1987 through 1989. The results were studied for the best management practices to reduce contamination and loss of nutrients, (e.g., total nitrogen and total phosphorus) by nonpoint source pollution from agricultural lands.

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Review of Uncertainties in Applying GIS Data and Hydrological Models to Evaluate the Effectiveness of Best Management Practices (수리모델과 GIS 데이터를 이용한 최적관리방안의 평가에 대한 불확실성의 재고)

  • Lee, Tae-Soo
    • Journal of the Korean association of regional geographers
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    • v.17 no.2
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    • pp.245-258
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    • 2011
  • Best management practices (BMPs) are widely accepted and implemented as a mitigation method for soil erosion and non-point source problems. Estimating the amount of soil erosion and the effectiveness of BMPs using hydrological models help to understand the condition, identify the problems, and make plans for conservation practices in an area, typically a watershed. However, the accuracy and reliability of assessment of BMP impacts estimated by hydrological models can be often questionable due to the uncertainties from various sources including GIS(Geographic Information System) data, scale, and model. This study reviewed the development and the background of hydrological models, and the modeling issues such as the selection of models, scale, and uncertainties of data and models. This study also discussed the advantage of a small scale and spatially distributed model to estimate the impacts of BMPs.

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Simulation of the Best Management Practice Impacts on Nonpoint Source Pollutant Reduction in Agricultural Area using STEPL WEB Model (STEPL WEB 모형을 이용한 농촌지역 비점오염원저감 대책 모의)

  • Park, Youn Shik;Kum, Dong Hyuk;Jung, Young Hun;Cho, Ja Pil;Lim, Kyoung Jae;Kim, Ki Sung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.56 no.5
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    • pp.21-27
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    • 2014
  • Sediment-laden water is problematic in aquatic ecosystem and for hydraulic structures in a watershed, and agriculture area in a watershed is one of source areas of nonpoint source (NPS), since soil surface typically exposures due to agricultural activities. Especially, severe sediment might flow into stream when agricultural area is located near stream like the Imha-dam watershed. Soil erosion is affected by precipitation, therefore there is a need to consider precipitation characteristics in soil erosion and best management practices (BMPs) simulation. The Web-based Spreadsheet Tool for the Estimation of Pollutant Load (STEPL WEB) allows estimating long-term sediment loads and the impact of best management practices to reduce sediment loads. STEPL WEB and predicted precipitation data by MIROC-ESM model was used to estimate sediment loads and its reduction by filter strip and conversion of agricultural area to forest in the future 30 years. The result indicates that approximately 70 % of agricultural area requires filter strip installation or that approximately 50 % of agricultural area needs to be converted to forest, for 41 % of sediment load reduction.

On Best Precedence Test when Data are subject to Unequal Patterns of Censorship

  • Kim, Tai-Kyoo;Park, Sang-Gue
    • Journal of Korean Society for Quality Management
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    • v.22 no.1
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    • pp.169-178
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    • 1994
  • Nonparametric tests for comparing two treatments when data are subject to unequal patterns of censorship are discussed. Best precedence test proposed by Slud can be viewed as a nice alternative test comparing with weighted log-rank tests, not to mention the advantage of short experimental period. This research revises some missing parts of Slud's test and examines the asymptotic power of it under the nonproportional hazard alternatives through the simulation. The simulation studies show best precedence test has reasonable power in the sense of robustness under nonproportional hazard alternatives and could be recommended at such situation.

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Heuristic Process Capability Indices Using Distribution-decomposition Methods (분포분할법을 이용한 휴리스틱 공정능력지수의 비교 분석)

  • Chang, Youngsoon
    • Journal of Korean Society for Quality Management
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    • v.41 no.2
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    • pp.233-248
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    • 2013
  • Purpose: This study develops heuristic process capability indices (PCIs) using distribution-decomposition methods and evaluates the performances. The heuristic methods decompose the variation of a quality characteristic into upper and lower deviations and adjust the value of the PCIs using decomposed deviations in accordance with the skewness. The weighted variance(WV), new WV(NWV), scaled WV(SWV), and weighted standard deviation(WSD) methods are considered. Methods: The performances of the heuristic PCIs are investigated under the varied situations such as various skewed distributions, sample sizes, and specifications. Results: WV PCI is the best under the normal populations, WSD and SWV PCIs are the best under the low skewed populations, NWV PCI is the best under the moderate and high skewed populations. Conclusion: Comprehensive analysis shows that the NWV method is most adequate for a practical use.

Big Y development for line Yield Improvement in a Factor (Big Y 전개를 통한 장치 Line의 Yield 향상)

  • Moon Gi-Ju;Park Woo-Jong
    • Journal of Korean Society for Quality Management
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    • v.32 no.4
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    • pp.184-195
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    • 2004
  • Current companies 집중 on how to operate and select projects to achieve the best result. 6sigma projects are chosen in the best suitable concept, which are solved by the 6Sigma experts according to the priority. And every project has to be launched not the view of individual management factors but the total factors, Big Y. Therefore, a process needs to be treated to connect the vital few factors in various processes to improve the yield, which is the main performance criteria in a manufacturing industry This report is to make the total optimization through the Vital-Few mapping between quality characteristics and process factors in a manufacturing line. Accordingly, it means to secure lower variance by making the CTP(Critical To Process) optimization and finally to improve the yield.

Use of Managerical Decision Categories for Selecting KA/KR Techniques in HRM Problem Domains

  • Byun, Dae-Ho;Suh, Eui-Ho
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.2
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    • pp.71-93
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    • 1996
  • Selection of appropriate knowledge acquisition and representation techniques is regarded as a major task in the development of expert systems. This depends on the characteristics of problem domains. Expert system builders have often adopted a technique without a formal analysis of application domains. The purpose of this paper is to provide the best knowledge aquisition and representation technique for use in human resource management problem domains. In an attempt to meet this purpose, the conceptual contingency model that suggests the best technique according to managerial decision categories is used as a guidance. In order to determine the priority of managerial decision categories, the Analytic Hierarchy Process and an extended method are proposed.

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