• Title/Summary/Keyword: QCAS

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Development of Quality Competitiveness Assessment System(QCAS) (품질경쟁력 평가지표 지원시스템 개발)

  • Shin, Wan-Seon;Park, Man-Hee;Jung, Sa-Bum;Lee, Sang-Chul
    • IE interfaces
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    • v.14 no.4
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    • pp.409-420
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    • 2001
  • In this paper, We study the development of Quality Competitiveness Assessment System(QCAS), which is a computer software developed to support the assessment criteria. It, first, describes the structure of the assessment criteria and the quality competitiveness model developed for promoting quality management. QCAS is then further explained by delineating its design, functional characteristics, and feedback from the experts. A systematic procedure is also proposed for possible application of QCAS in real world situations. Finally, This research propose a systematic procedure that can be used to apply QCAS in setting up a long-term plan for continuous quality improvement.

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Empirical Analysis for Evaluation Index of Quality Competitiveness Excellent Companies (품질경쟁력 우수기업의 평가지표에 대한 실증적 분석)

  • Park, Dong Joon
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.1
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    • pp.37-46
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    • 2016
  • Quality has been a key issue to manufacturers. Many distinguished scholars have defined quality with profound insight. Korean firms struggle to make better products to fulfil requirements and satisfy customers. Korean industries have implemented quality management from Japan in early 70s. Statistical quality control, QCC (Quality Control Circle), and total quality management have also been introduced in succession. Chief executive officers, managers, and field employees have been aware of the importance of quality since then. This quality movement force workers to improve quality. They have to maintain the quality of products and compete with foreign products. Korean industries were able to compete with foreign industries in price. However, Korean firms now have to compete in quality as well as price. ISO (International Organization for Standardization) was established and industries around world have started to implement standardized systems depending on their need. ISO 9000 has continuously been revised and firms around world started to register a ISO 9000 certificate. Today's quality competitiveness gets more deeply involved. KSA (Korean Standard Association) have launched QCAS (Quality Competitiveness Assessment System) since 1997. Up until now recent status of QCAS have been reported but the characteristics of QCAS results have not been analyzed. In this article we examine the QCAS results of 41 firms in 2014. QCAS consisted of 13 subsections : strategy and management system, organization culture and development of human resource, information management, quality system, customer satisfaction, management achievement, TPM, logistics, product development and technology, PL, QCC, SQC/SPC, and reliability. We performed one way ANOVA to discover the difference among the levels of firm size, business type, and quality hall of fame using the total scores of 13 subsections resulted from QCAS. We also analyzed the scores of 13 individual subsections of QCAS to see if there is any differences based on firm size and business type. We interpret the results and implication of analysis and finally draw a conclusion.

The Study of Measure of Company Quality Competitive by using MTS Method (MTS(마할라노비스-다구찌 시스템) 기법을 이용한 기업 품질경쟁력 측정)

  • Ji, Chul-Min;Ree, Sang-Bok
    • Journal of Korean Society for Quality Management
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    • v.33 no.2
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    • pp.64-73
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    • 2005
  • In this paper, we introduce MTS(Mahalanobis-Taguchi System) Method which is suggested Dr. Taguchi in later 1990. We apply MTS Method for Quality Competitive Appraisal System(QCAS) Model which is executived from 1997 by Agency for Technology and Standards, Ministry of Commerce, Industry and Energy(MOCIE). We can measure company Quality competitive by using MTS. MTS Measure can not be compared statistical sum by calculated QCAS. MTS can be possible distinct subtle which can not distinct using statistical sum. Also MTS Method can seek more strong effect factor among of many factor. If A Company use MTS Method, can find vital factor and level of destination.

Recent Advances in Multireference-Based Perturbation Theory

  • Nakano, Haruyuki;Hirao, Kimihiko
    • Bulletin of the Korean Chemical Society
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    • v.24 no.6
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    • pp.812-816
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    • 2003
  • Accurate ab initio computational chemistry has evolved dramatically. In particular, the development of multireference-based approaches has opened up a completely new area, and has had a profound impact on the potential of theoretical chemistry. Multireference-based perturbation theory (MRPT) is an extension of the closed-shell single reference Møller-Plesset method, and has been successfully applied to many chemical and spectroscopic problems. MRPT has established itself as an efficient technique for treating nondynamical and dynamical correlations. Usually, a complete active space self-consistent field (CASSCF) wave function is chosen as a reference function of MRPT. However, CASSCF often generates too many configurations, and the size of the active space can outgrow the capacity of the present technology. Many attempts have been proposed to reduce the dimension of CASSCF and to widen the range of applications of MRPT. This review focuses on our recent development in MRPT.

The Establishment of Work Conditions in Plastic Extrusion Process by using Multiple Linear Regression Analysis (중회귀분석을 이용한 플라스틱 압출공정의 작업조건 설정 방법)

  • 김태호;김석중;강경식
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.18 no.34
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    • pp.35-42
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    • 1995
  • In the plastic extrusion process, product quality is influenced by work condition for temperature of cylinders and dies. The work conditions are various, so it is difficult to standardization of the work conditions. Therefore, the work conditions are depended on the workers of experience and skill. In the plastic extrusion process, it has five control heating points on the cylinder and three control heating points on the die. In addition, there is one control point on the extrusion process. It is extrusion speed. In this case, we don't know how these affect product quality. We structure the multiple linear regression equation with the temperature of cylinders and dies as independent variables and the product weight as dependent variable. We solve this equation using statistic computer package named Juse-Qcas.

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