• Title/Summary/Keyword: service methods

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A Hybrid Forecasting Framework based on Case-based Reasoning and Artificial Neural Network (사례기반 추론기법과 인공신경망을 이용한 서비스 수요예측 프레임워크)

  • Hwang, Yousub
    • Journal of Intelligence and Information Systems
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    • v.18 no.4
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    • pp.43-57
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    • 2012
  • To enhance the competitive advantage in a constantly changing business environment, an enterprise management must make the right decision in many business activities based on both internal and external information. Thus, providing accurate information plays a prominent role in management's decision making. Intuitively, historical data can provide a feasible estimate through the forecasting models. Therefore, if the service department can estimate the service quantity for the next period, the service department can then effectively control the inventory of service related resources such as human, parts, and other facilities. In addition, the production department can make load map for improving its product quality. Therefore, obtaining an accurate service forecast most likely appears to be critical to manufacturing companies. Numerous investigations addressing this problem have generally employed statistical methods, such as regression or autoregressive and moving average simulation. However, these methods are only efficient for data with are seasonal or cyclical. If the data are influenced by the special characteristics of product, they are not feasible. In our research, we propose a forecasting framework that predicts service demand of manufacturing organization by combining Case-based reasoning (CBR) and leveraging an unsupervised artificial neural network based clustering analysis (i.e., Self-Organizing Maps; SOM). We believe that this is one of the first attempts at applying unsupervised artificial neural network-based machine-learning techniques in the service forecasting domain. Our proposed approach has several appealing features : (1) We applied CBR and SOM in a new forecasting domain such as service demand forecasting. (2) We proposed our combined approach between CBR and SOM in order to overcome limitations of traditional statistical forecasting methods and We have developed a service forecasting tool based on the proposed approach using an unsupervised artificial neural network and Case-based reasoning. In this research, we conducted an empirical study on a real digital TV manufacturer (i.e., Company A). In addition, we have empirically evaluated the proposed approach and tool using real sales and service related data from digital TV manufacturer. In our empirical experiments, we intend to explore the performance of our proposed service forecasting framework when compared to the performances predicted by other two service forecasting methods; one is traditional CBR based forecasting model and the other is the existing service forecasting model used by Company A. We ran each service forecasting 144 times; each time, input data were randomly sampled for each service forecasting framework. To evaluate accuracy of forecasting results, we used Mean Absolute Percentage Error (MAPE) as primary performance measure in our experiments. We conducted one-way ANOVA test with the 144 measurements of MAPE for three different service forecasting approaches. For example, the F-ratio of MAPE for three different service forecasting approaches is 67.25 and the p-value is 0.000. This means that the difference between the MAPE of the three different service forecasting approaches is significant at the level of 0.000. Since there is a significant difference among the different service forecasting approaches, we conducted Tukey's HSD post hoc test to determine exactly which means of MAPE are significantly different from which other ones. In terms of MAPE, Tukey's HSD post hoc test grouped the three different service forecasting approaches into three different subsets in the following order: our proposed approach > traditional CBR-based service forecasting approach > the existing forecasting approach used by Company A. Consequently, our empirical experiments show that our proposed approach outperformed the traditional CBR based forecasting model and the existing service forecasting model used by Company A. The rest of this paper is organized as follows. Section 2 provides some research background information such as summary of CBR and SOM. Section 3 presents a hybrid service forecasting framework based on Case-based Reasoning and Self-Organizing Maps, while the empirical evaluation results are summarized in Section 4. Conclusion and future research directions are finally discussed in Section 5.

A Gateway and Framework for Telematics Systems Independent on Mobile Networks

  • Han, Woo-Yong;Kwon, Oh-Cheon;Park, Jong-Hyun;Kang, Ji-Hoon
    • ETRI Journal
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    • v.27 no.1
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    • pp.106-109
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    • 2005
  • In this letter, we analyze the problems with the existing telematics service systems that have been dependently developed and provided on a specific mobile network infrastructure. Then, we suggest methods to solve the problems and propose an architecture of the gateway and framework to implement our methods. We also verify the effectiveness of the suggested architecture through a comparison with an existing telematics system. With this architecture, it is possible to develop service applications without knowledge of the underlying mobile network technology and the system integration methods.

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Standardization of Recipe for the Preparation of Korean Foods (II) - For the focus on Chigae (Stew) - (한국음식의 조리법 표준화를 위한 연구(II) -찌개류 -)

  • 계승희;문현경;염초애;송태희;이성희
    • Korean journal of food and cookery science
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    • v.11 no.3
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    • pp.220-225
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    • 1995
  • This study was attempted to standardize preparation methods of Korean foods; Chigae (Stew) such as Deonjang chigae (soybean stew) and Kimchi chigae (Kimchi stew). We followed cooking methods by using cookbooks, food service operation recipes, materials distributed by commercial food restaurants from their own experimental kitchens, and home recipes. Before this recipes were standardized, we thoroughly analyzed and modified them. The total yield and portions were determined together with material weights and procedures. And we evaluated food made by standardized recipes for acceptability, by taste panels from Sookmyung Women's University. It concluded that yield volune for doenjang chigae and kimchi chigae after cooking for 10 persons was 3 kg, optimum service temperature was 7$0^{\circ}C$, preparation time was 50 minutes, service volumes by one person was 300 g. This presentantion for the above on food materials and material weights, preparation methods as well as cautions and references are attached in this research paper.

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DEEPENING REFORM AND STRENGTHENING-SERVICE, TO OPEN THE NEW SITUATION IN AGRICULTURAL MACHINERY MANAGEMENT

  • Zhang, Xihong
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.546-550
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    • 1993
  • Three basic experiments in agricultural machinery management , strengthening the construction of socialized service system, facilitating the two-level management system in rural areas and carrying through the principle of " paid service ' are described and the main methods of strengthening agricultural machinery management are developed in this paper.aper.

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Impact of Product and Service Quality on Service and Product Loyalty in a Automobile Industry (자동차의 제품 품질, 서비스 품질이 서비스 충성도, 제품 충성도에 미치는 영향에 대한 연구)

  • Bae, Hye Jeong;Rhim, Hosun;Shin, Hojung;Yang, In-Seok;Yoo, Seuck-Cheun
    • Journal of Korean Society for Quality Management
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    • v.40 no.4
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    • pp.599-614
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    • 2012
  • Purpose: We measure service quality based on service process, and examine relationships among product quality, product and service loyalty. Methods: We develop a construct to evaluate process based service quality. We collect data from customers of auto maintenance centers to measure perceived product quality, service and product quality. We test relationships between constructs using structural equation model and regression analysis. Results: Relationships among perceived-product quality, service quality, service loyalty, and product loyalty are all significant. Conclusion: Perceived-product quality has a indirect impact through service quality and loyalty in addition to a direct impact on product loyalty.

A Research on the improvement measures about Community-based Korean medical public health service in public service center (보건소 한방지역보건사업의 개선방안에 대한 연구)

  • Choi, Kwang-Jin;Kim, Hong-Jun;Ahn, Sang-Woo
    • Korean Journal of Oriental Medicine
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    • v.10 no.1
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    • pp.107-117
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    • 2004
  • Each Local public heal public health service center is in difficult situation on programing and performing of local public health service. The purpose of research is to inquire of the present state of local public health service and search long-term developmental methods. The first, in order to accomplish this purpose, I distributed questionnaires to Korean medical doctors, who are worked in public health service center and researched that. The second, based on these findings, I proposed planning for upcoming project for activating local public health service on Korean medicine.

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A Study on Development of Multi-item Scale for Assessing Airline Cabin Service Quality (항공객실서비스 품질 측정 모형 개발에 관한 연구)

  • Kim, Yoonjin;Kim, Youn Sung
    • Journal of Korean Society for Quality Management
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    • v.45 no.3
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    • pp.483-501
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    • 2017
  • Purpose: Recognizing the limitations of the previous researches that measured the quality of airline service quality only with partial evaluation items of cabin service quality. the purpose of this study is to standardize and develop assessment of the airline cabin service quality with considering the characteristics of cabin service and customer needs. Methods: The proposed method of this paper was the empirical items of airline cabin service quality was derived through reviewing and comparing the previous researches, industrial indicators like Skytrax and KS-SQI and NCS. Results: The result of this research proposed CSQ (Cabin SERVQUAL) which could consist of seven dimensions, separated by five direct customer satisfaction factors and two indirect factors required for providing customer service. Conclusion: The developed CSQ can be used for airline service quality measurement which will achieve establishing a strategy to improve customer satisfaction and satisfaction of Airline's employee.

The Effect of Operational Control Center's Service Quality on Airline Staff's Job Engagement (종합통제센터의 서비스품질이 항공사 직원의 직무몰입에 미치는 영향)

  • Kim, Hyo Joong
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.28 no.1
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    • pp.14-21
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    • 2020
  • Here I investigate what effects Operational Control Center(OCC)'s service quality may have on airline staff's job engagement. My analysis reveals that airline OCC's service quality has a meaningful effect on airline staff's service satisfaction, and that service satisfaction mediates a meaningful effect on staff's job engagement. It was suggested that improving OCC's service quality leads to higher staff's job engagement. Accordingly, I suggest methods of improving OCC's service quality. I find that the importance of contributing factors on OCC's service quality are as follows, in order of most to least important: professionalism, assurance, empathy, reliability, organizational culture, and responsiveness. The results of this study are relevant not only for airlines but also for government agencies such as the National Emergency Management Agency, the Korea Forest Service, the National Police Agency and the Korea Coast Guard that operate aircraft and must ensure aviation safety.

The Influence of Personality Traits on Airline Untact Check-in: Focusing on Mobile Check-in User

  • YANG, Jae-Pil;PARK, Sang-Beom
    • The Journal of Industrial Distribution & Business
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    • v.12 no.1
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    • pp.15-30
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    • 2021
  • Purpose: Year of 2020, COVID-19 has been changing the people's everyday life to ways never been thought of before all over the world. The IT and electronic industry, the methods of supplying goods and services have been changed from contact to un-tact environments based on un-tact systems very rapidly. COVID-19 has been striking the tourism and the travel industry, especially the airline and hotel industry of which services are provided by human. For the passenger service of airliner, automation has been propelled and un-tact style of service has become mainstreams except cabin service since 2000's. For passenger transportation, due to traffic regulations and exclusions etc., switching to new ways is not easy. However, under the new environment made by COVID-19, kiosk check-in, web check-in and mobile check-in has become more important. In this study, the characteristics of airline customers using mobile goods are investigated to find ways to raise the rate of utilizing mobile check-in and to increase the efficiency of boarding process. Research design, data, and methodology: Considering the COVID-19 environment, survey was done by online research company. The research model is designed to integrate the user characteristics and usage/purchase motive and technology acceptance theory. Especially considering infectious diseases prevention, concern of safety is adopted as one of the usage motive variable. Results: Extraversion or conscientiousness characteristics prefers counter check-in(contact service), while openness characteristics prefers mobile check-in(un-tact service). Concern of safety for infectious disease shows strong non-preference on counter check-in. Conclusions: Regarding service type regardless of type of the industry, automation and un-tact have been mainstreams due to high costs of labor, efficiency and standardization issue, etc., and COVID-19 has given impetus to them. For airliner, un-tact service including boarding process service has been more and more important. To raise the rate of un-tact service use, the characteristics of the user should be analyzed first. The study results indicate that for extraversion or conscientiousness, some kinds of methods to induce them to use un-tact service more are needed.