• 제목/요약/키워드: Multiple Measures

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서비스 실패 관리를 위한 FMEA 이용 방안 (FMEA Measures for Service Failure Management)

  • 김현정;안진예;김수욱
    • 품질경영학회지
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    • 제42권1호
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    • pp.43-61
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    • 2014
  • Purpose: This study identifies preventive measures for VOC management by analyzing the causes and effects of factors that contribute to high risk service failure using FMEA on KORAIL VOC data. Methods: Two research methods were used. First, a Risk Priority Number (RPN) was assigned to each KORAIL VOC based on Failure Mode and Effect Analysis (FMEA). Second, multiple regression analysis was run with RPN factors that include severity, occurrence, and detection as the independent variables and customer dissatisfaction as the dependent variable. Results: Multiple regression analysis showed that RPN factors including severity, occurrence, and detection had significantly positive relationship with customer dissatisfaction. Based on these results, an FMEA was performed on VOC categories with high RPN for railroad stations including platform, ticketing, ticket verification, parking, and escalator, and VOC categories with high RPN for trains including entrance doors, cafes, air quality, announcement, and ticket verification. Conclusion: This study has practical implications to service failure management. A priority order using FMEA was established for the list of customer dissatisfactions that should be addressed to actively manage service failure, and strategies for tackling this priority list are offered.

B2B 전자제품 수요예측 모형 : PC시장 사례 (Demand Forecasting for B2B Electronic Products : The Case of Personal Computer Market)

  • 문정웅;장남식;조우제
    • 한국IT서비스학회지
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    • 제14권4호
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    • pp.185-197
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    • 2015
  • As the uncertainty of demand in B2B electronics market has increased, firms need a strong method to estimate the market demand. An accurate prediction on the market demand is crucial for a firm not to overproduce or underproduce its goods, which would influence the performance of the firm. However, it is complicated to estimate the demand in a B2B market, particularly for the private sector, because firms are very diverse in terms of size, industry, and types of business. This study proposes both qualitative and quantitative demand forecasting approaches for B2B PC products. Four different measures for predicting PC products in B2B market with consideration of the different PC uses-personal work, common work, promotion, and welfare-are developed as the qualitative model's input variables. These measures are verified by survey data collected from experts in 139 firms, and can be applied when individual firms estimate the demand of PC goods in a B2B market. As the quantitative approach, the multiple regression model is proposed and it includes variables of region, type of industry, and size of the firm. The regression model can be applied when the aggregated demand for overall domestic PC market needs to be estimated.

국내 제조업 화재사고 데이터 분석을 통한 복합 유해·위험요인 확인 (Identifying Hazard of Fire Accidents in Domestic Manufacturing Industry Using Data Analytics)

  • 김경민;서용윤;이종빈;장성록
    • 한국안전학회지
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    • 제38권4호
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    • pp.23-31
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    • 2023
  • Revising the Occupational Safety and Health Act led to enacting and revising related laws and systems, such as placing fire observers in hot workplaces. However, the operating standards in such cases are still ambiguous. Although fire accidents occur through multiple and multi-step factors, the hazards of fire accidents have been identified in this study as individual rather than interrelated factors. The aim has been to identify multiple factors of accidents, outlining fire and explosion accidents that recently occurred in the domestic manufacturing industry. First, major keywords were extracted through text mining. Then representative accident types were derived by combining the main keywords through the co-word network analysis to identify the hazards and their relationships. The representative fire accidents were identified as six types, and their major hazards were then addressed for improving safety measures using the identification of hazards in the "Risk Assessment" tool. It is found that various safety measures, such as professional fire observers' training and clear placement standards, are needed. This study will provide useful basic data for revising practical laws and guidelines for fire accident prevention, system supplementation, safety policy establishment, and future related research.

문헌 단위 인용 네트워크 내 인용과 중심성 지수 간 관계 추정에 관한 연구 (Curve Estimation among Citation and Centrality Measures in Article-level Citation Networks)

  • 유소영
    • 정보관리학회지
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    • 제29권2호
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    • pp.193-204
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    • 2012
  • 이 연구에서는 인용 및 동시인용 문헌 네트워크에서의 중심성 지수를 사용한 추론 통계 적용의 첫 번째 단계로써 이들 간 관계의 선형성을 살펴보고자 하였다. 703개의 문헌 동시인용 네트워크를 활용하여 인용 빈도, 연결정도 중심성, 인접 중심성, 매개 중심성 간의 4가지 주요 관계의 패턴을 살펴본 결과, 모든 인용 및 중심성 간 관계가 선형모델보다는 비선형적 모델로 더 잘 설명될 수 있음을 통계적으로 확인되었다. 따라서 이들 간의 인과관계에 대한 다중회귀분석과 같은 추론 통계 분석의 기반이 되는 선형성을 확보하기 위해서는 논리적인 기준에 근거한 데이터 변환이나 실제값을 구간값으로 변환하는 과정이 필요하다고 할 수 있다.

쓰나미에 대비(對備)한 해안림(海岸林) 조성(造成)과 비구조물(非構造物) 대책(對策) - 일본(日本)의 사례(事例)를 중심(中心)으로 - (Coastal Forest Construction and Non-Structural Measures for Preventing Tsunami Damage - In Case of Japan -)

  • 전근우;김석우;김경남;중도행희;강기차부
    • 한국산림과학회지
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    • 제94권3호통권160호
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    • pp.197-204
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    • 2005
  • 동해에서 발생한 쓰나미가 우리나라에 미치는 영향을 파악하고, 해안림이 쓰나미의 속도와 에너지를 저감시키는 기능 및 비구조물 대책에 대하여 일본의 사례를 중심으로 분석하였다. 자료를 분석한 결과, 1983년과 1993년에 동해에서 발생한 쓰나미는 우리나라 동해안에 1시간 50분만에 도달하였으며, 이로 인해 인명, 재산 및 침수피해가 발생하였다. 또한 쓰나미에 대비하여 해안림을 폭 60m로 조성하면 속도는 30%, 에너지는 10%로 각각 저감되므로 60m 정도의 폭을 확보하도록 하고, 해안림의 임분구조는 혼효림의 복층림으로 하며, 방조시설을 함께 시공하여야 한다. 이와 함께 쓰나미에 대한 대응법과 주의점 등에 대한 적극적인 홍보와 같은 비구조물 대책을 마련하여야 할 것이다.

성대용종 환자의 음성치료 효과 (The Effect of Voice Therapy in Vocal Polyp Patients)

  • 김성태;정고은;김상윤;최승호;임길채;한주희;남순열
    • 말소리와 음성과학
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    • 제1권2호
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    • pp.43-49
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    • 2009
  • Vocal polyps are benign phonotraumatic lesions which are traditionally treated using phonomicrosurgical techniques. In the case of hyperfunctional voice use, voice therapy is effective and results in voice improvement. However, the utility of voice therapy about vocal polyp is in great demand. The purpose of this study was to evaluate the effects of voice therapy in patients with vocal polyps. The authors reviewed the medical records of 193 patients with vocal nodules or vocal polyps, and 64 patients (31 nodules and 33 polyps) were enrolled. All of the subjects had received explanation of problems, vocal hygiene education, and been treated by the $SKMVTT^{(R)}$ (Seong-Tae Kim's multiple voice therapy technique) ranging from 4 to 16 sessions (mean: 8.6 sessions). All subjects were examined by perceptual assessment, acoustic and aerodynamic measures, and VRP (voice range profile). In perceptual assessment, patients with vocal nodules had more breathy and strained voices than the vocal polyp group. Both groups significantly reduced rough, breathy voice after voice therapy. Patients with vocal polyps had worse voice quality than patients with nodules in acoustic measures. Both groups showed reduced jitter and shimmer after voice therapy. In aerodynamic measures, MPT and Psub were increased, and MFR was reduced (p<.05). Participants' frequency range and intensity range were increased after voice therapy, but only frequency range resulted in a significant difference (p<.05). In conclusion, the therapeutic effect of voice therapy in patients with vocal nodules and polyps was demonstrated perceptually and acoustically. We can suggest that voice therapy, including advice, vocal hygiene, and $SKMVTT^{(R)}$ is a useful as an initial choice of treatment for patients with vocal polyps before considering a surgical approach.

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Cluster Analysis with Balancing Weight on Mixed-type Data

  • Chae, Seong-San;Kim, Jong-Min;Yang, Wan-Youn
    • Communications for Statistical Applications and Methods
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    • 제13권3호
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    • pp.719-732
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    • 2006
  • A set of clustering algorithms with proper weight on the formulation of distance which extend to mixed numeric and multiple binary values is presented. A simple matching and Jaccard coefficients are used to measure similarity between objects for multiple binary attributes. Similarities are converted to dissimilarities between i th and j th objects. The performance of clustering algorithms with balancing weight on different similarity measures is demonstrated. Our experiments show that clustering algorithms with application of proper weight give competitive recovery level when a set of data with mixed numeric and multiple binary attributes is clustered.

Production and Inventory Management Using Multiple Objective Decision Making

  • Chung, Tae-Young;Kim, Soung-Hie
    • 한국국방경영분석학회지
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    • 제17권1호
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    • pp.84-104
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    • 1991
  • Up to the present, the evaluation measures in the production and inventory management have been studied under the pre-condition that the costs for major factors(e.g,. cost of carrying inventory, cost of demand shortage) are given easily, although in practice, it is difficult. The case in which multiple participants have a different viewpoints in production and inventory management has not been studied, in spite of its frequent occurrence. This study suggests a production and inventory model with multiple objectives corresponding to major factors and the related interactive algorithm based on the preference structures of participants. The problem can be solved through a weighting vector generated by an interaction with participants. The concept of equity is also used in order to guarantee the reasonable distribution of group utility in determining the individual relative weights of participants. This study includes the reality of the model and the decision process in the production and inventory management.

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Development of a Multiple SMPS System Controlling Variable Load Based on Wireless Network

  • Ko, Junho;Park, Chul-Won;Kim, Yoon Sang
    • Journal of Electrical Engineering and Technology
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    • 제10권3호
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    • pp.1221-1226
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    • 2015
  • This paper proposes a multiple switch mode power supply (SMPS) system based on the wireless network which controls variable load. The system enables power supply of up to 600W using 200W SMPS as a unit module and provides a controlling function of output power based on variable load and a monitoring function based on wireless network. The controlling function for output power measures the variation of output power and facilitates efficient power supply by controlling output power based on the measured variation value. The monitoring function guarantees a stable power supply by observing the multiple SMPS system in real time via wireless network. The performance of the proposed system was examined by various experiments. In addition, it was verified through standardized test of Korea Testing Certification. The results were given and discussed.

다종류(多種類)의 고객을 지닌 폐쇄형(閉鎖型) 대기행렬 네트워크 모형(模型)의 출력률(出力率) 한계(限界) (On the Throughput Bounds of the Closed Queueing Networks with Multiple Classes of Customers)

  • 유인선;김성식
    • 대한산업공학회지
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    • 제17권2호
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    • pp.87-95
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    • 1991
  • The exact solution of the closed queueing networks(CQN) is known only for the product form (BCMP) queueing networks. Various computational algorithms are available to derive system throughput(the rate at which a system completes units of computational work) of the networks. However, the computational expense of an exact solution is often excessive when there are multiple classes of cutomers. Instead of computing the exact values, it may be sufficient to derive bounds on the performance measures. Techniques for obtaining bounds on BCMP queueing networks have appeared in the past years. This paper also presents bounds on throughput in CQN models with multiple classes of customers.

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