• Title/Summary/Keyword: Quality Management Capabilities

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An adaptive neuro-fuzzy approach using IoT data in predicting springback in ultra-thin stainless steel sheets with consideration of grain size

  • Jing Zhao;Lichun Wan;Mostafa Habibi;Ameni Brahmia
    • Advances in nano research
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    • v.17 no.2
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    • pp.109-124
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    • 2024
  • In the era of smart manufacturing, precise prediction of springback-a common issue in ultra-thin sheet metal forming- and forming limits are critical for ensuring high-quality production and minimizing waste. This paper presents a novel approach that leverages the Internet of Things (IoT) and Artificial Neural Networks (ANN) to enhance springback and forming limits prediction accuracy. By integrating IoT-enabled sensors and devices, real-time data on material properties, forming conditions, and environmental factors are collected and transmitted to a central processing unit. This data serves as the input for an ANN model, which is trained with crystal plasticity simulations and experimental data to predict springback with high precision. Our proposed system not only provides continuous monitoring and adaptive learning capabilities but also facilitates real-time decision-making in manufacturing processes. Experimental results demonstrate significant improvements in prediction accuracy compared to traditional methods, highlighting the potential of IoT and ANN integration in advancing smart manufacturing. This approach promises to revolutionize quality control and operational efficiency in the industry, paving the way for more intelligent and responsive manufacturing systems.

A Study on Analysis of R&D Intensity based on Patent Citation Information: Case Study on Self-driving Car of Google (특허인용정보 기반의 연구집중도 분석에 관한 연구: 구글의 자율주행자동차 기술 중심으로)

  • Lee, Junseok;Kim, Jongchan;Lee, Joonhyuck;Park, Sangsung;Jang, Dongsik
    • Journal of the Korean Institute of Intelligent Systems
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    • v.26 no.4
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    • pp.327-333
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    • 2016
  • An autonomous vehicle is a convergence of artificial intelligence and a vehicle which can drive itself while analyzing the real-time situation on a road without a driver. A lot of research achievements have been revealed through the media and Google is considered to be the best leading company in this field. The use of patent information which contains various information such as bibliographic data and information about technologies is a good way to find out the R&D direction of a company and develop a reasonable strategy. This study is aimed at investigating the direction to which Google focuses its R&D capabilities and establishing strategies for technology development. Google's patents about autonomous vehicles were collected and the degree of research bias was analyzed using Social Network Analysis based on citations indicating the quality of a patent. Based on the results, the strategies for technology development was eventually proposed. As a result, it was revealed that Google focused its R&D capabilities on the part of hardware control to make up for its lack of hardware-oriented technologies. As of now, Google obtained remarkable achievements, so it seems reasonable that last-movers consider cooperative research with Google.

A Study on the Effects of The Relationship Characteristics Between Contracted Foodservice Companies and Its Client Companies to Relationship Quality and Long-Term Orientation (위탁급식사와 고객사 간의 관계특성이 관계의 질과 장기지향성에 미치는 영향)

  • Ki, Eun-Heui;Kim, Tae-Hee;Lee, Dug-Young
    • Journal of the Korean Society of Food Culture
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    • v.25 no.3
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    • pp.312-323
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    • 2010
  • The objective of this study was to examine the effects of relationships between food service companies and their client companies by surveying employees working at cafeterias among a food service companies' client companies. For this purpose, previous research was reviewed, and confirmatory research was conducted using a questionnaire. In the questionnaire survey, the subjects were sampled through convenience sampling from the client companies of A Food Service Company, and 182 valid questionnaires were used in the analysis. The results of this study are summarized as follows. First, the characteristics of the relationship between the food service company and its client companies, which were reputation, communication, operation skill, and contact-point employees' service quality, had a significant effect on trust, and the effect was high in the order of contact-point employees' service quality, communication, operation skill, and reputation. Satisfaction was significantly affected by reputation, operation skill, and contact-point employee' service quality, but not by communication. The effect was high in the order of contact-point employees' service quality, reputation, and operation skill. In addition, reputation, communication, operation skill, and contact-point employees' service quality had a significant effect on long-term orientation, and the effects were high in the order of reputation, contact-point employees' service quality, communication, and operation skill. Second, with regard to the quality of relationships between a food service company and its client companies, trust had a significant effect on satisfaction. Third, among the factors related to the quality of relationships between the food service company and its client companies, trust and satisfaction had a significant effect on long-term orientation, and the effect of satisfaction was higher than that of trust. This study has scientific significance as one of only a few studies on factors affecting the long-term relationship between food service companies and their client companies, along with managerial implications that contact-point employees' capabilities are most important in service businesses, and thus efforts should be made at employing and educating them properly.

Support Needs for Health Promotion of Community-Dwelling People with Disabilities: Perspectives of Operators Managing Disability Supportive Housing (지역사회 거주 장애인의 건강관리 향상을 위한 지원 요구 분석: 장애인지원주택 운영 관리자의 관점에서)

  • Nam, Hye Jin;Lee, Haesun;Park, Han Nah;Lee, Sujin;Kim, Bohye;Yoon, Ju Young
    • Journal of Korean Academy of Nursing
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    • v.54 no.2
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    • pp.211-223
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    • 2024
  • Purpose: Recent studies have focused on policies aimed at supporting the independence of individuals with disabilities in communities. As part of this initiative, supportive housing, integrated care, and residential spaces offer tailored services based on individual needs and autonomy. The attitudes and knowledge of the administrators supporting supportive housing residents regarding health management can influence the well-being of individuals with disabilities. Therefore, this study aimed to explore the challenges faced by supporting housing workers in enhancing the self-management skills of individuals with disabilities. Methods: In this qualitative study, focus group interviews were conducted in August 2023 with nine administrators working to support housing in Seoul. Qualitative content analysis was used to analyze the interview data. Results: The needs and challenges in enhancing the self-management skills of individuals with disabilities were as follows: (1) the complexity of health management challenges, (2) bidirectional strategies for strengthening health management capabilities, and (3) support for systematic health management. Additionally, eight subthemes were derived. Conclusion: By investigating the difficulties experienced and identifying the necessary support requirements for supportive housing workers, this study seeks to uncover insights and identifies areas for improvement and strategies for health management. This study acknowledges the educational and institutional support necessary to improve the health and quality of life of individuals with disabilities residing in supportive housing.

Development of GIS based Water Quality Simulation System for Han River and Kyeonggi Bay Area (한강과 경기만 지역 GIS 기반 통합수질모의 시스템 개발)

  • Lee, Chol-Young;Kim, Kye-Hyun
    • Journal of Korea Spatial Information System Society
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    • v.10 no.4
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    • pp.77-88
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    • 2008
  • There has been growing demands to manage the water quality of west coastal region due to the large scale urbanization along the coastal zone, the possibility of application of TMDL(Total Maximum Daily Loadings) to Han river, and the natural disaster such as oil spill incident in Taean, Chungnam. However, no system has been developed for such purposes. In this background, the demand of GIS based effective water quality management has been increased to monitor water quality environment and propose best management alternatives for Han river and Kyeonggi bay. This study mainly focused on the development of integrated water quality management system for Han river bas in and its estuary are a connected to Kyeonggi bay to support integrated water quality management and its plan. Integration was made based on GIS by spatial linking between water quality attributes and location information. A GIS DB was built to estimate the amount of generated and discharged water pollutants according to TMDL technical guide and it included input data to use two different water quality models--W ASP7 for Han river and EFDC for coastal area--to forecast water quality and to suggest BMP(Best management Practices). The results of BOD, TN, and TP from WASP7 were used as the input to run EFDC. Based on the study results, some critical areas which have relatively higher pollutant loadings were identified, and it was also identified that the locations discharging water pollutant loadings to river and seasonal factor affected water quality. And the relationship of water quality between river and its estuary area was quantitatively verified. The results showed that GIS based integrated system could be used as a tool for estimating status-quo of water quality and proposing economically effective BMPs to mitigate water pollution. Further studies need to be made for improving system's capabilities such as adding decision making function as well as cost-benefit analysis, etc. Also, the concrete methodology for water quality management using the system need to be developed.

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Antecedents of Employees' Knowledge Integration Capability and Its Effects on Knowledge Creation: Focused on Convergence-Oriented Organizations (조직구성원의 지식통합 역량에 대한 선행 요인과 지식창출 효과에 관한 연구: 융합 지향 조직을 중심으로)

  • Hong, Jinwon;Suh, Woojong
    • Knowledge Management Research
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    • v.15 no.4
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    • pp.105-126
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    • 2014
  • Knowledge integration is becoming a primary function of improving organizational capabilities and performance in today's convergence paradigm. The knowledge integration capability of employees has increasingly been regarded as a critical source for developing new products and services. This study investigates the influential factors of employees' knowledge integration capability and its effects. A theoretical research model was developed based on the socio-technical perspective and information processing theory. The model includes teamwork quality, expertise, IT support, and knowledge complexity as the primary influential factors of employees' knowledge integration capability. A large-scale survey was conducted for gathering data (a total of 316 samples from 141 organizations) to test the proposed model. The test results of the hypotheses show that expertise and knowledge complexity are the significant influential factors of employees' knowledge integration capability, and also the capability has a positive effect on the knowledge creation performance of employees. Our findings contribute to the development of initiatives for promoting employees' knowledge integration capability, especially in knowledge intensive organizations focusing on convergence products and services.

Power-Efficient Rate Allocation of Wireless Access Networks with Sleep-Operation Management for Multihoming Services

  • Lee, Joohyung;Yun, Seonghwa;Oh, Hyeontaek;Newaz, S.H. Shah;Choi, Seong Gon;Choi, Jun Kyun
    • Journal of Communications and Networks
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    • v.18 no.4
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    • pp.619-628
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    • 2016
  • This paper describes a theoretical framework for rate allocation to maximize the power efficiency of overall heterogeneous wireless networks whose users are assumed to have multihoming capabilities. Therefore, the paper first presents a power consumption model considering the circuit power and radio transmission power of each wireless network. Using this model, two novel power efficient rate allocation schemes (PERAS) for multihoming services are proposed. In this paper, the convex optimization problem for maximizing the power efficiency over wireless networks is formulated and solved while guaranteeing the required quality of service (QoS). Here, both constant bit rate and variable bit rate services are considered. Furthermore, we extend our theoretical framework by considering the sleep-operation management of wireless networks. The performance results obtained from numerical analysis reveal that the two proposed schemes offer superior performance over the existing rate allocation schemes for multihoming services and guarantee the required QoS.

GIS AND WEB-BASED DSS FOR PRELIMINARY TMDL DEVELOPMENT

  • Choi, Jin-Yong;Bernard A. Engel;Yoon, Kwang-Sik
    • Water Engineering Research
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    • v.4 no.1
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    • pp.19-30
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    • 2003
  • TMDL development and implementation have great potential fur use in efforts to improve water quality management, but the TMDL approach still has several difficulties to overcome in terms of cost, time requirements, and suitable methodologies. A well-defined prioritization approach for identifying watersheds of concern among several tar-get locations that would benefit from TMDL development and implementation, based on a simple screening approach, could be a major step in solving some of these difficulties. Therefore, a web-based decision support system (DSS) was developed to help identify areas within watersheds that might be priority areas for TMDL development. The DSS includes a graphical user interface based on the HTML protocol, hydrological models, databases, and geographic information system (GIS) capabilities. The DSS has a hydrological model that can estimate non-point source pollution loading based on over 30 years of daily direct runoff using the curve number method and pollutant event mean concentration data. The DSS provides comprehensive output analysis tools using charts and tables, and also provides probability analysis and best management practice cost estimation. In conclusion, the DSS is a simple, affordable tool for the preliminary study of TMDL development via the Internet, and the DSS web site can also be used as an information web server for education related to TMDL.

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A Study on the Semantic Network Analysis for Exploring the Generative AI ChatGPT Paradigm in Tourism Section (관광분야 생성형 AI ChatGPT 패러다임 탐색을 위한 의미연결망 연구)

  • Han Jangheon
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.4
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    • pp.87-96
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    • 2023
  • ChatGPT, a leader in generative AI, can use natural expressions like humans based on large-scale language models (LLM). The ability to grasp the context of the language and provide more specific answers by algorithms is excellent. It also has high-quality conversation capabilities that have significantly developed from past Chatbot services to the level of human conversation. In addition, it is expected to change the operation method of the tourism industry and improve the service by utilizing ChatGPT, a generative AI in the tourism sector. This study was conducted to explore ChatGPT trends and paradigms in tourism. The results of the study are as follows. First, keywords such as tourism, utilization, creation, technology, service, travel, holding, education, development, news, digital, future, and chatbot were widespread. Second, unlike other keywords, service, education, and Mokpo City data confirmed the results of a high degree of centrality. Third, due to CONCOR analysis, eight keyword clusters highly relevant to ChatGPT in the tourism sector emerged.

Antecedents of Manufacturer's Private Label Program Engagement : A Focus on Strategic Market Management Perspective (제조업체 Private Labels 도입의 선행요인 : 전략적 시장관리 관점을 중심으로)

  • Lim, Chae-Un;Yi, Ho-Taek
    • Journal of Distribution Research
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    • v.17 no.1
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    • pp.65-86
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    • 2012
  • The $20^{th}$ century was the era of manufacturer brands which built higher brand equity for consumers. Consumers moved from generic products of inconsistent quality produced by local factories in the $19^{th}$ century to branded products from global manufacturers and manufacturer brands reached consumers through distributors and retailers. Retailers were relatively small compared to their largest suppliers. However, sometime in the 1970s, things began to slowly change as retailers started to develop their own national chains and began international expansion, and consolidation of the retail industry from mom-and-pop stores to global players was well under way (Kumar and Steenkamp 2007, p.2) In South Korea, since the middle of the 1990s, the bulking up of retailers that started then has changed the balance of power between manufacturers and retailers. Retailer private labels, generally referred to as own labels, store brands, distributors own private-label, home brand or own label brand have also been performing strongly in every single local market (Bushman 1993; De Wulf et al. 2005). Private labels now account for one out of every five items sold every day in U.S. supermarkets, drug chains, and mass merchandisers (Kumar and Steenkamp 2007), and the market share in Western Europe is even larger (Euromonitor 2007). In the UK, grocery market share of private labels grew from 39% of sales in 2008 to 41% in 2010 (Marian 2010). Planet Retail (2007, p.1) recently concluded that "[PLs] are set for accelerated growth, with the majority of the world's leading grocers increasing their own label penetration." Private labels have gained wide attention both in the academic literature and popular business press and there is a glowing academic research to the perspective of manufacturers and retailers. Empirical research on private labels has mainly studies the factors explaining private labels market shares across product categories and/or retail chains (Dahr and Hoch 1997; Hoch and Banerji, 1993), factors influencing the private labels proneness of consumers (Baltas and Doyle 1998; Burton et al. 1998; Richardson et al. 1996) and factors how to react brand manufacturers towards PLs (Dunne and Narasimhan 1999; Hoch 1996; Quelch and Harding 1996; Verhoef et al. 2000). Nevertheless, empirical research on factors influencing the production in terms of a manufacturer-retailer is rather anecdotal than theory-based. The objective of this paper is to bridge the gap in these two types of research and explore the factors which influence on manufacturer's private label production based on two competing theories: S-C-P (Structure - Conduct - Performance) paradigm and resource-based theory. In order to do so, the authors used in-depth interview with marketing managers, reviewed retail press and research and presents the conceptual framework that integrates the major determinants of private labels production. From a manufacturer's perspective, supplying private labels often starts on a strategic basis. When a manufacturer engages in private labels, the manufacturer does not have to spend on advertising, retailer promotions or maintain a dedicated sales force. Moreover, if a manufacturer has weak marketing capabilities, the manufacturer can make use of retailer's marketing capability to produce private labels and lessen its marketing cost and increases its profit margin. Figure 1. is the theoretical framework based on a strategic market management perspective, integrated concept of both S-C-P paradigm and resource-based theory. The model includes one mediate variable, marketing capabilities, and the other moderate variable, competitive intensity. Manufacturer's national brand reputation, firm's marketing investment, and product portfolio, which are hypothesized to positively affected manufacturer's marketing capabilities. Then, marketing capabilities has negatively effected on private label production. Moderating effects of competitive intensity are hypothesized on the relationship between marketing capabilities and private label production. To verify the proposed research model and hypotheses, data were collected from 192 manufacturers (212 responses) who are producing private labels in South Korea. Cronbach's alpha test, explanatory / comfirmatory factor analysis, and correlation analysis were employed to validate hypotheses. The following results were drawing using structural equation modeling and all hypotheses are supported. Findings indicate that manufacturer's private label production is strongly related to its marketing capabilities. Consumer marketing capabilities, in turn, is directly connected with the 3 strategic factors (e.g., marketing investment, manufacturer's national brand reputation, and product portfolio). It is moderated by competitive intensity between marketing capabilities and private label production. In conclusion, this research may be the first study to investigate the reasons manufacturers engage in private labels based on two competing theoretic views, S-C-P paradigm and resource-based theory. The private label phenomenon has received growing attention by marketing scholars. In many industries, private labels represent formidable competition to manufacturer brands and manufacturers have a dilemma with selling to as well as competing with their retailers. The current study suggests key factors when manufacturers consider engaging in private label production.

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