• Title/Summary/Keyword: priority decision

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The Fabric Knowledge and the Selection Criteria & Fabric Impact on Clothing Purchase of University Students (대학생의 의류소재 인지도 및 의복구매시 선택기준과 소재의 영향)

  • Choi, Jong-Myoung
    • Korean Journal of Human Ecology
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    • v.13 no.6
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    • pp.935-941
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    • 2004
  • The purpose of this study is to survey fabric knowledge about apparel products, and to identify not only clothing purchase criteria but the impact of fabrics on the decision-making process in clothing purchase. The 234 questionnaires were distributed to university students(120 males, 114 females), and were analyzed by frequencies, t-test, $x^{2}$ and ANOVA. The results are as follows: 1) The students had apparel fabrics knowledge above the average, and there were partially significant differences in the knowledge by genders. 2) They put a higher priority, in purchasing apparel products, on factors such as design, size, color, fabric, and price of clothing than those including ease of care, sewing, and fashion trend. 3) The consideration of fabrics influenced a post-purchase process. 4) Male students showed less concern, except information search process, with the fabric than females in the decision-making process for clothing purchase.

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Key Success Factor For Korea high speed Track Maintenance Decision Making Support System (고속선 궤도관리 의사결정지원 시스템 개발을 위한 성공요인)

  • Kim, Jong-Kyong;Lee, Choon-Kil;Woo, Byoung-Koo;Kim, Nam-Hong;Lee, Sung-Uk
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.486-493
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    • 2007
  • In the field of maintenance of domestic high-speed railroad which has cost a great deal more than any other fields since it was opened; 1) We found out the conditions of current domestic railroad by understanding the status of track maintenance and analyzing operative processes of track maintenance. 2) The main factors in track maintenance of high-speed railroad, that is, the elements for success to help decision-support in track maintenance were derived from a research on literature about the condition of railroad R&D in these days and about the prediction of the irregular progresses of track. 3) We derived the order of priority and weights from AHP analysis which was based on the survey regarding elements for success.

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Development of Decision Making Model for Soft Foundation Improvement Method considering Technically, Economic Effective Factors (기술적 ${\cdot}$ 경제적 영향요소를 고려한 연약지반 개량공법의 의사결정모델 개발)

  • Lee, Heung-Chol;Woo, Sung-Kwon
    • Proceedings of the Korean Institute Of Construction Engineering and Management
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    • 2006.11a
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    • pp.698-701
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    • 2006
  • Various improvement methods to treat settlement and stability of structures on soft foundation, that is now continuously introduced after being scrutinized. Therefore, it is very important to select the most suitable method among these various ones. In this study, quantifying the importance of effective factors when making decision, inducing priority and significance weight, systematic standard is proposed for technical, economic factor in making selection of soft foundation improvement method.

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Fuzzified multi-object programming application in evaluation and selection of Electronic Commerce systems suppliers (전자상거래시스템 공급자 평가 및 선정에 관한 연구)

  • 정희진
    • Journal of the Korea Society of Computer and Information
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    • v.4 no.4
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    • pp.226-235
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    • 1999
  • The purpose of this study is to present models for evaluation and selection of Electronic Commerce systems suppliers. The Major concern of management is that almost all decision problems have multiple, usually conflicting, criteria. The fuzzified multi-objective programming models are given to accommodate the aspiration level and satisfaction level of decision makers. The proposed models are classified into three types, that is, min-operator. additive and pre-emptive priority. Numerical Examples illustrating each type of model are presented and the implications of these models are discussed.

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전문가 집단과 비전문가 집단의 고속철도 운임수용범위에 관한 실증분석

  • Kwon Yong-Jang;Ku Ja-Kwon
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.1566-1574
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    • 2004
  • This study tried to find out alternatives adjusting basic fare using customer survey. But it merely verified that train fare decision is made by government's role and market status. Also, it has a limitation deciding resonable fare of KTX that average cost and marginal cost calculation is impossible because Korean National Railroad does not follow 'Activity Based Costing'. It is rational fare decision that performing survey to railroad experts and general customers, and compare two results. Summarizing results of this study, 1. The hypothesis 'Experts' perceived fare level of KTX is higher than that of general customer. 'is carried. It suggests that following experts' opinion with general customer's is very rational method to decide fare level. 2. The hypothesis 'Experts expect lower level of fare discount rate than general customer.' is carried. 3. It is hard to decide priority among many kinds of discount for difference of two group's preference. However, following recent research project is maximized by discounting fare 30$\%$ on 40$\%$ of total passenger and expand number of discount kinds step by step are desirable.

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Selecting the Critical Resources Using DBR on Multi-parameters (DBR 스케줄링에 있어 제약자원 선정에 관한 연구)

  • 서장훈;홍석묵;박명규
    • Journal of the Korea Safety Management & Science
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    • v.4 no.1
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    • pp.131-139
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    • 2002
  • Since introducing the "Theory of Constraints" by Goldratt, its effect was verified by lots of scholars, men of enterprise. These days it is also introducing and studying in this country with good results. The objective of this study is to show how to determine the constraint resources on DBR scheduling. Actually, previous studies based on the line which just think a load/capacity rate on doing scheduling. This study will show a scheduling method which reflects multi-parameters. It could be a standard to reflect real manufacturing surroundings. On calculating a priority of each resources, we classified factors with subjective and objective factors. And we propose a decision model to incorporate values assigned by a group of experts on different factors to select a critical resource. On deploying this model, SN ratio of Taguchi method for each of subjective and objective factors will be used. And we propose a procedure which is organized with 7 steps. To understand the logic, a numerical manufacturing simulation will be presented. This method is a incorporating decision model on determining the constraint on multi parameters with experts.h experts.

A GOAL PROGRAMMING MODEL FOR THE BEST POSSIBLE SOLUTION TO LOAN ALLOCATION PROBLEMS

  • Sharma, Dinesh-K.;Ghosh, Debasis;Alade, Julius-A.
    • Journal of applied mathematics & informatics
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    • v.9 no.1
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    • pp.197-211
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    • 2002
  • In this paper, we propose a multi-Criteria decision making approach to address the problem of finding the best possible solution in credit unions. Sensitivity analysis on the priority structure of the goals has been performed to obtain all possible solutions. The study uses the Euclidean distance method to measure distances of all possible solutions from the identified ideal solution. The possible optimum solution is determined from the minimum distance between the ideal solution and other possible solutions of the Problem.

A Study on Improving the Production and Shipment Using MES System (MES 시스템을 이용한 생산 및 출하 신뢰성 향상에 관한 연구)

  • Cho, Joong-Hyun;Bae, Byeong-Gon;Kang, Kyung-Sik
    • Proceedings of the Safety Management and Science Conference
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    • 2007.04a
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    • pp.73-80
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    • 2007
  • Recently, the strategy of the age of limitless competition for existence of manufacturing company appears for the enhancement of productivity through the automatic system, the reduction for the cost for standardization and the decision making process for the information system. Especially the critical success factors in manufacturing company can be summarized for the establishment of production visibility through the production management, material & work-in-process management, the establish of the flexible manufacturing system for the changed order priority and the establish of the quality system for improvement of product and process quality. The existing production management systems supply only simple information about production results on real time, can delay quick decision making. And it can prevent acquiring the information about various customer needs and the communication problems with other systems. In this paper, it will show MES system, a solution for the problems of existing production management systems. And through a case study of D company, it will reveal improvement effect on shipment error using MES system and economic analysis for MES itself.

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The study of the safety evaluation method on domestic subway using multi-criteria decision analysis (다기준 의사결정기법을 이용한 국내 지하철 안전성 평가 적용에 관한 연구)

  • Park, Hai-Chun;Lee, Kyoung-Hun
    • Journal of the Korea Safety Management & Science
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    • v.13 no.3
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    • pp.19-28
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    • 2011
  • The efforts to reduce industrial accident has been brisk recently in workplace. These efforts were mainly concentrated on construction and manufacturing. Despite these efforts, current accident rate so far has been maintained on the fixed level. According to the change of industrial structure, the government's attention on industrial accident prevention activities are focused in service industries. When trying to appraise the result of such activities, it is impossible to evaluate safety without certain criteria. Therefore, we analyze data by TOPSIS method that all the subway institution jointly manage every year. we decide the order of safety priority between domestic subway workplaces and measure the variation in safety by sensitivity. As a result, we draw conclusions to improve safety for the primary consideration and suggest alternatives.

The Efficiency Analysis for DMU Using the Integration Method of DEA and AHP (DEA와 AHP 기법이 결합된 DMU의 효율성 분석)

  • Kim, Tae-Sung;Cho, Nam-Wook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.2
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    • pp.1-6
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    • 2006
  • This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.