• Title/Summary/Keyword: Multiple Decision Method

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A Study on the Influence Factors for Virtual Enterprise (가상기업의 성과요인에 관한 연구)

  • Park, Kyung-Hye;Choi, Se-Yeon
    • Journal of Information Technology Applications and Management
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    • v.14 no.1
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    • pp.117-135
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    • 2007
  • Globalization changes in market structures and consumer needs, as well as technology innovations force organizations to adopt new structures and collaborative networks to cope with rapidly changing environments. These Collaborative Networks are based on the Idea of virtual enterprise. A virtual enterprise(VE) is a temporary alliance of globally distributed independent enterprises that share core competencies and computer networks. This paper presents a proposal for a methodology to measure a key factor of success and risk First of all, we chose thirty experts' defines on virtual enterprise, fifteen are academic specialist and other fifteen are from industry. For this study we define twenty two factors determining VE's success and seventeen factors determining VE's risk using by Delphi method. And we built the influence model on virtual enterprise. A research model was established according to preceeding research and consensus on experts then the revised model of key factors on virtual enterprise. This survey was based on the Analytical Hierarchy Process (AHP). AHP is an approach to decision making that involves structuring multiple choice criteria into a hierarchy, the assessing the relative important of these criteria, comparing alternative for each criteria, and determining an overall ranking of the alternatives. A model was constructed as 3 level hierarchy. The hierarches are organizational, strategic, technical criteria. for success model on VE has 22 factors and 17 factors for risk model. They are selected by all 30 experts. 14 copies among 30 copies distributed to carry out on the Analytical Hierarchy Process (AHP). Consistency ratio confirm high validity and reliability of instrument and support theoretical model. The results of this study are summarized as follows. (1) This study presented success on VE influenced strategic criteria, and essential factor is Creating a value. Risk on VE influenced strategic criteria, and essential factor is Outcome/Distribution. (2) Its enable that ranking the criteria influence on VE. These are supported VE management and using guideline of VE.

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Performance Analysis of HDR-WPAN System with MIMO Techniques (MIMO 기법을 적용한 HDR-WPAN 시스템의 성능분석)

  • Han Deog-Su;Kang Chul-Gyu;Oh Chang-Heon;Cho Sung-Joon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.8
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    • pp.1502-1509
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    • 2006
  • In this paper, we proposed reliability and capacity enhancement methods for IEEE 802.15.3 HDR-WPAN (High Data Rate-Wireless Personal Area Network) system which is currently getting an interest in home network technology adopting a MIMO technique. We also analyzed performance or the proposed system through a computer simulation. The HDR-WPAN system using V-BLAST algorithm, transmitting the different signal vector to each other's sub-channel, can get the transmission speed of more than 110Mbps using two Tx/Px antenna without bandwidth expansion in TCM-64QAM mode. Also the proposed system has reliability of 104 at Eb/N0=35dB under the Rayleigh fading channel in case of two Tx/Rx antenna with MMSE algorithm. The HDR-WPAN system adopting V-BLAST method has its drawback which is very complicated to determine the decision-ordering at the receiver. But, the proposed system enhances the transmission capacity and reliability without extra bandwidth expansion by sending data streams to multiple antennas.

Unusual Behavior Detection of Korean Cows using Motion Vector and SVDD in Video Surveillance System (움직임 벡터와 SVDD를 이용한 영상 감시 시스템에서 한우의 특이 행동 탐지)

  • Oh, Seunggeun;Park, Daihee;Chang, Honghee;Chung, Yongwha
    • KIPS Transactions on Software and Data Engineering
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    • v.2 no.11
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    • pp.795-800
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    • 2013
  • Early detection of oestrus in Korean cows is one of the important issues in maximizing the economic benefit. Although various methods have been proposed, we still need to improve the performance of the oestrus detection system. In this paper, we propose a video surveillance system which can detect unusual behavior of multiple cows including the mounting activity. The unusual behavior detection is to detect the dangerous or abnormal situations of cows in video coming in real time from a surveillance camera promptly and correctly. The prototype system for unusual behavior detection gets an input video from a fixed location camera, and uses the motion vector to represent the motion information of cows in video, and finally selects a SVDD (one of the most well-known types of one-class SVM) as a detector by reinterpreting the unusual behavior into an one class decision problem from the practical points of view. The experimental results with the videos obtained from a farm located in Jinju illustrate the efficiency of the proposed method.

A Study on the Consumers' Perceptions and Behavioral Characteristics toward Fashion Products in Omni-channel Retailing (옴니채널 리테일링에서 패션 제품 소비자의 인식 및 행동 특성 탐구)

  • Kim, Yunjeong;Lee, Yuri
    • Journal of the Korean Society of Clothing and Textiles
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    • v.41 no.1
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    • pp.170-183
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    • 2017
  • The rapid growth of digital consumption has significantly changed the shopping behavior of consumers. The consumption paradigm is changing; subsequently, an omni-channel has been introduced that empowers consumers to interact with firms through a myriad of touch points in multiple channels. This study is to understand the perceptions and behavioral characteristics of consumers in the purchase process (e.g., information search and purchase phase). A qualitative method was adopted for this study and data were collected through semi-structured in-depth interviews with 15 omni-channel consumers. The results of this study were as follows. At the information search stage, consistency was the most important consideration for consumers who also wanted to retain channel-specific benefits. Consumers also searched for differentiated information among distribution channels. At the purchase stage, participants choose a shopping channel according to shopping values. They utilized newly introduced services (e.g., "online purchase, offline pick-up", FinTech) that combine retail channels. Our findings provide significance in managing omni-channel services. First, it is recommended that fashion retailers provide seamlessly integrated experience to consumer and adopt a consumer-centered channel choice strategy. Second, fashion retailers must maintain a constant attitude toward shopping experience to fashion, such as shopping enjoyment and exclusiveness.

An Efficient Incremental View Maintenance in Data Warehouses (데이타 웨어하우스에서 효과적인 점진적 뷰 관리)

  • Lee, Ki-Yong;Kim, Myoung-Ho
    • Journal of KIISE:Databases
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    • v.27 no.2
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    • pp.175-184
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    • 2000
  • A data warehouse is an integrated and summarized collection of data that can efficiently support decision making process. The summarized data at the data warehouse is often stored in materialized views. These materialized views need to be updated when source data change. Since the propagation of updates to the views may impose a significant overhead, it is very important to update the warehouse views efficiently. Though various strategies have been proposed to maintain views in the past, they typically require too much accesses to the data sources when the changes of multiple data sources have to be reflected in the view. In this paper we propose an efficient view update strategy that uses relatively small number of accesses to the data sources. We also show the performance advantage of our method over other existing methods through experiments using TPC-D data and queries.

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Comparing Endoscopy and Upper Gastrointestinal X-ray for Gastric Cancer Screening in South Korea: A Cost-utility Analysis

  • Chang, Hoo-Sun;Park, Eun-Cheol;Chung, Woo-Jin;Nam, Chung-Mo;Choi, Kui-Son;Cho, Eun;Cho, Woo-Hyun
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.6
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    • pp.2721-2728
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    • 2012
  • Background: There are limited data evaluating the cost-effectiveness of gastric cancer screening using endoscopy or upper gastrointestinal x-ray in the general population. Objective: To evaluate the cost-effectiveness of population-based screening for gastric cancer in South Korea by decision analysis. Methods: A time-dependent Markov model for gastric cancer was constructed for healthy adults 30 years of age and older, and a deterministic sensitivity analysis was performed. Cost-utility analysis with multiple strategies was conducted to compare the costs and effects of 13 different screening alternatives with respect to the following eligibility criteria: age at the beginning of screening, screening interval, and screening method. The main outcome measurement was the incremental cost-effectiveness ratio. Results: The results revealed that annual endoscopic screening from ages 50-80 was the most cost-effective for the male population. In the females, biennial endoscopy screening from ages 50-80 was calculated as the most cost-effective strategy among the 12 screening alternatives. The most cost-effective screening strategy may be adjustable according to the screening costs and the distribution of cancer stage at screening. The limitation was that effectiveness data were obtained from published sources. Conclusions: Using the threshold of $19,162 per quality-adjusted life year on the basis of the Korean gross domestic product (2008), as suggested by the World Health Organization, endoscopic gastric cancer screening starting at the age of 50 years was highly cost-effective in the Korean population. The national recommendation for gastric cancer screening should consider the starting age of screening, the screening interval, and the screening modality.

Economic Awareness, Economic Knowledge, and Attitude toward Cost-Effectiveness in Nursing of Hospital Nurses (병원 간호사의 경제학적 지식과 태도에 관한 연구)

  • Lee, Tae-Wha
    • Journal of Korean Academy of Nursing Administration
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    • v.9 no.1
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    • pp.103-112
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    • 2003
  • Purpose : This study was designed to describe the economic awareness, economic knowledge, and attitude toward cost-effectiveness in nursing of hospital nurses. Method : The sample included 272 nurses conveniently selected from 5 tertiary care hospitals. Data were collected on general characteristics of nurses, the economic awareness level, the knowledge level of economics, and the attitude toward cost-effectiveness. Data were analyzed using SPSS PC version 10.0. Result : 1) The mean of economic awareness level of hospital nurses was 44.87 (SD=3.53) with a possible range of 550. The mean of the knowledge level of economics was 58.3 (SD=11.9) with a possible range of 0100. 2) The mean of attitude toward cost-effectiveness in nursing was 39.95 (SD=5.01) with a possible range of 550, which means moderately positive. 3) Analyzing the relationships between economic awareness level and knowledge level of economics, and attitude toward cost-effectiveness, the knowledge level of economics was positively related with the economic awareness level (r=.192, p=.002) and the attitude (r=.133, p=.029). The economic awareness level was positively related with the attitude (r=.470, p=.000). 4) Backward multiple regression revealed that the linear combination of economic awareness, job position, place of employment, and the presence of CQI committee accounted for 26.1% of the variance in the attitudes toward cost-effectiveness nursing care. Conclusion : Findings reveal that RNs lack basic knowledge of economics and its link to nursing practice, yet, they want a voice in economic decision making. In an effort to fill the void of economic knowledge and respond to nurses' call for greater input, in-service programs and curricula for generic programs must be developed.

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Degradation-Based Remaining Useful Life Analysis for Predictive Maintenance in a Steel Galvanizing Kettle (철강 도금로의 예지보전을 위한 열화 기반 잔존수명 분석)

  • Shin, Joon Ho;Kim, Chang Ouk
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.271-280
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    • 2019
  • Smart factory, a critical part of digital transformation, enables data-driven decision making using monitoring, analysis and prediction. Predictive maintenance is a key element of smart factory and the need is increasing. The purpose of this study is to analyze the degradation characteristics of a galvanizing kettle for the steel plating process and to predict the remaining useful life(RUL) for predictive maintenance. Correlation analysis, multiple regression, principal component regression were used for analyzing factors of the process. To identify the trend of degradation, a proposed rolling window was used. It was observed the degradation trend was dependent on environmental temperature as well as production factors. It is expected that the proposed method in this study will be an example to identify the trend of degradation of the facility and enable more consistent predictive maintenance.

Development of Approximate Cost Estimate Model for Aqueduct Bridges Restoration - Focusing on Comparison between Regression Analysis and Case-Based Reasoning - (수로교 개보수를 위한 개략공사비 산정 모델 개발 - 회귀분석과 사례기반추론의 비교를 중심으로 -)

  • Jeon, Geon Yeong;Cho, Jae Yong;Huh, Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.33 no.4
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    • pp.1693-1705
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    • 2013
  • To restore old aqueduct in Korea which is a irrigation bridge to supply water in paddy field area, it is needed to estimate approximate costs of restoration because the basic design for estimation of construction costs is often ruled out in current system. In this paper, estimating models of construction costs were developed on the basis of performance data for restoration of RC aqueduct bridges since 2003. The regression analysis (RA) model and case-based reasoning (CBR) model for the estimation of construction costs were developed respectively. Error rate of simple RA model was lower than that of multiple RA model. CBR model using genetic algorithm (GA) has been applied in the estimation of construction costs. In the model three factors like attribute weight, attribute deviation and rank of case similarity were optimized. Especially, error rate of estimated construction costs decreased since limit ranges of the attribute weights were applied. The results showed that error rates between RA model and CBR models were inconsiderable statistically. It is expected that the proposed estimating method of approximate costs of aqueduct restoration will be utilized to support quick decision making in phased rehabilitation project.

A Business Process Redesign Method within an ERP Framework (ERP 기반의 비즈니스 프로세스 재설계 방법)

  • Dong-Gill Jung
    • The Journal of Society for e-Business Studies
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    • v.7 no.1
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    • pp.87-106
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    • 2002
  • The behavioral and dynamic implications of an ERP implementation/installation are, to say the least, not well understood. Getting the switches set to enable the ERP software to go live is becoming straightforward. The really difficult part is understanding all of the dynamic interactions that accrue as a consequence. Dynamic causal and connectionist models are employed to facilitate an understanding of the dynamics and to enable control of the information-enhanced processes to take place. The connectionist model ran be analyzing (behind the scenes) the information accesses and transfers and coming If some conclusions about strong linkages that are getting established and what the behavioral implications of those new linkages and information accesses we. Ultimately, the connectionist model will come to an understanding of the dynamic, behavioral implications of the larger ERP implementation/installation per se. The underlying connectionist model will determine information transfers and workflow. Once a map of these two infrastructures is determined by the model, it becomes a relatively easy job for an analyst to suggest improvements in both. Connectionist models start with analog object structures and then use learning to produce mechanisms for managerial problem diagnoses. These mechanisms are neural models with multiple-layer structures that support continuous input/output. Based on earlier work performed and published by the author[10][11], a Connectionist ReasOning and LEarning System(CROLES) is developed that mimics the real-world reasoning infrastructure. Coupled with an explanation subsystem, this system can provide explanations as to why a particular reasoning structure behaved the way it did. Such a system operates in the backgmund, observing what is happening as every information access, every information response coming from each and every intelligent node (whether natural or artificial) operating within the ERP infrastructure is recorded and encoded. The CROLES is also able to transfer all workflows and map these onto the decision-making nodes of the organization.

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