• 품질경영학회지
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• 제39권3호
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• pp.365-376
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• 2011

Robust design (RD) has emerged as a key feature in process design and development for more than twenty years. Many researchers and industrial engineers around the world have invested their intensive efforts to develop and apply RD in many fields in order to improve quality of output products. However, there is also room for improvement. The primary objective of this research is to determine "robust formulation" of a medicine by checking its gelation index. In order to achieve this target, based on the nature of problem, at first, a customized experimental format is designed for obtaining data. Second, time-depended responses based models are developed by the proposed inverse problem (IP) methodology. Third, an RD model based on mean square error (MSE) concept is introduced for time-depended responses. Finally, the proposed approach is illustrated by a case study while comparing obtained results to the response surface methodology (RSM) approach.

• 지식경영연구
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• 제9권4호
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• pp.65-75
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• 2008

Knowledge workers' workload to register knowledge can cause quality defects in the quality as well as the quantity of knowledge that must be accumulated in a knowledge management system(KMS). To enhance the availability of a KMS by acquiring more quality-guaranteed knowledge, autonomous knowledge acquisition which outdoes the automated acquisition must be initiated. Adopting the capabilities of context-awareness and inference in the field of context-aware computing, this paper intends to autonomously identify and acquire knowledge from knowledge workers' daily lives. Based on knowledge workers' context information, such as location, identification, schedule, etc, a methodology to monitor, sense, and gather knowledge that resides in their ordinary discussions is proposed. Also, a prototype systems of the context-based knowledge acquisition system(CKAS), which autonomously dictates, analyzes, and stores dialogue-based knowledge is introduced to prove the validity of the proposed concepts. This paper's methodology and prototype system can support relieving knowledge workers' burden to manually register knowledge, and hence provide a way to accomplish the goal of knowledge management, efficient and effective management of qualified knowledge.

• 품질경영학회지
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• 제38권4호
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• pp.521-530
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• 2010

Global regulatory pressures relating climate change and environmental responsibility are asking companies to find out the best way for sustaining their continuous business growths. It could be known that inadequate management for environmental issues are bad for business, negatively affecting brand image, causing unnecessary losses and costs for environmental preservation. For this reason, environmentally conscious green business growth has been recognized as an essential requirement for a company to stay in business. Many companies are looking for green business opportunities of improving their environmental and financial results, and struggling with how green fits into their business. In this paper, the Green Six Sigma, an environmentally conscious Six Sigma methodology, is presented as a way to find solutions for green growths. The Six Sigma is known as a disciplined, data-driven approach and methodology for achieving world-class performance in any process from manufacturing to transactional. In chronological order, the Six Sigma has been evolved from Motorola's quality-oriented methodology to GE's cost-oriented lean approach, and is being evolved and developed as an environment-oriented green growth approach. There is no doubt that the Green Six Sigma, as an engine of green growth, is a power tool for achieving competitive business performance and reducing the impact on the environment.

• 한국물환경학회지
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• 제28권5호
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• pp.693-703
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• 2012

Load Duration Curve(LDC) is a useful tool for analyzing water quality characteristics under various stream flow conditions. This study investigated the methods to identify impaired waterbodies in the assessment of water quality goal attainment by using LDC for the management of Total Maximum Daily Loads (TMDLs). Three methods were proposed. Non-typical regime exclusion method is a method to exclude water quality observations in the non-typical extreme flow conditions in order to minimize the influence of non-ordinary water quality. Flow regime weighted average method is a method to calculate weighted mean water quality instead of arithmetic mean in order to consider water characteristics properly on stream flow regime in addition to the effect of Non-typical regime exclusion method. Load exceeded interval comparison method is a method to compare the intervals between the attained and non-attained load duration periods on the LDC. The assessment of water quality goal attainment can be performed more reasonably and precisely considering water quality variations on stream flow conditions by applying these proposed methods.

• 대한토목학회논문집
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• 제12권1호
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• pp.123-130
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• 1992

수자원의 개발 및 관리 문제에 있어 양적인 문제가 질적인 문제에 우선하여 왔으나 산업화와 생활수준의 향상에 따라 질적인 문제도 양(量)적인 문제만큼 중요하게 되었다. 본 연구에서는 수량과 수질문제를 동시에 고려하면서 수계내의 저수지 시스템을 종합관리하는 방안을 제시하며, 개발된 인(燐) 수지(收支) 모형(模型)에 따라 저수지 수질을 장기예측하는 기법도 제시한다. 개발된 기법은 5개의 저수지 운영을 감안한 한강 유역의 저수지군 관리에 적용하였으며, 적용 결과 수량적인 면과 수질적인 면에 있어 시간과 공간적으로 편기된 수자원을 모든 제약(制約) 조건(條件)을 만족시키면서 활용할 수 있다는 것을 입증하였다.

• 한국콘텐츠학회논문지
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• 제10권6호
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• pp.156-165
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• 2010

국내에선 ESM(Enterprise Security Management)이 보안관리를 대표하고 있고, 이를 더욱 고도화해야 한다는 요구가 증가하고 있다. 본 논문에서는 기업보안관리(ESM) 제품의 질적인 면을 평가하고 품질 수준을 파악하여 개선방향을 도출함으로써 품질향상을 지원할 수 있는 보안성 평가모델과 시험 방법론에 대해서 개발하였다. 그리고 제품의 보안성 품질을 측정하고 그 결과를 적절한 기준에 따라 판정하는 방법에 대해 연구를 수행하고자 성능시험사례를 제시하여 평가방법을 제시하였다. 도출된 품질평가 모델은 침입방지 시스템의 품질을 평가하고 향상시키는데 중요한 역할을 하게 될 것으로 기대한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권6호
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• pp.2354-2376
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• 2020

SmartThings is one of the most popular open platforms for home automation IoT solutions that allows users to create their own applications called SmartApps for personal use or for public distribution. The nature of openness demands high standards on the quality of SmartApps, but there have been few studies that have evaluated this thoroughly yet. As part of software quality practice, code reviews are responsible for detecting violations of coding standards and ensuring that best practices are followed. The purpose of this research is to propose systematically designed quality metrics under the well-known Goal/Question/Metric methodology and to evaluate the quality of SmartApps through automatic code reviews using a static analysis. We first organize our static analysis rules by following the GQM methodology, and then we apply the rules to real-world SmartApps to analyze and evaluate them. A study of 105 officially published and 74 community-created real-world SmartApps found a high ratio of violations in both types of SmartApps, and of all violations, security violations were most common. Our static analysis tool can effectively inspect reliability, maintainability, and security violations. The results of the automatic code review indicate the common violations among SmartApps.

• 식품과학과 산업
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• 제52권1호
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• pp.20-31
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• 2019

Sensory perception of food/beverage products is one of the most important quality factors to determine consumer acceptability and thus sensory discrimination methodology has been a vital tool for quality management. Signal detection theory(SDT) and Thurstonian modeling provide the most advanced psychometric approach to modeling various discrimination methods. In these theories, perceptual and cognitive decisional factors are considered so that, a fundamental measure of sensory difference (d') can be computed, independent of test methods used. In this paper, sensory discrimination analysis based on SDT and Thurstonian modeling is introduced for more accurate and systematic applications of sensory and hedonic quality management in industry. Ways to realize the statistical power and relative sensitivity of sensory discrimination methods theorized in SDT and Thurstonian modeling in practice, are also discussed by using a case study of the Nongshim quality management program for drinking water in which SDT A-Not A test methodology was further optimized.

• Asian Journal of Business Environment
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• 제5권2호
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• pp.23-29
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• 2015

Purpose - This theoretical study develops practical recommendations for implementing a quality management system (QMS) in Kazakh organizations to ensure the effectiveness and safety of products and services. We discuss the improvement of Kazakhstan's quality standards based on the requirements of ISO 9000. Research design, data, and methodology - We provide methods for improving the quality standards system, ranging from research and development to the sale of products. We also propose to establish a special quality systems award to motivate enterprises toward product quality improvement. The study's methodological basis included Kazakhstan's legislative and regulatory Acts, and international and national standards defining QMS requirements for scientists worldwide to develop and implement a QMS for enterprises. Results - Aligning the QMS reduces Kazakh companies' costs for the detection and correction of defects, and the external and internal loss caused by the defects. Effective QMS also reduces management costs. Conclusion - This article can help increase the transparency of organizations for their leaders and (if necessary) the external environment, and improve the accuracy, quality, and timeliness of decision-making.

• 품질경영학회지
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• 제29권4호
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• pp.116-132
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• 2001

The world wide web has been growing rapidly. Due to the development, many companies are using the e-commerce through the web as an another tool for the their deal with customers. The internet is utilized as the new distribution business and channel for the most companies. This innovative changes made many people to purchase products through the web. However, there are a lot of problems during the process of supply chain channels. This research is about the impact of service quality on the customer satisfaction in the business-to-consumer(B2C) e-commerce. It was performed by utilizing the methodology for measuring the degree of service quality which has been adopted in the service quality research area. The quality of service is made up of six dimensions(factors): reliability, responsiveness, assurance, empathy, tangible, and convenience. Therefore, we studied the influence of these six factors upon the customer satisfaction, and the results will be summarized.