• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.9
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• pp.169-178
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• 2018

The ice machine is the machine for making ice. As most of the companies that manufactures and sells the ice machine are small and medium-sized companies, they have been they have been experiencing the trouble for the after-sales service after selling the machine. The difficulties of the after-sales service are mostly caused by unnecessary customer service requests of the purchaser, which eventually leads to the unnecessary expenditure of the seller and the purchaser. However, financially, the poor ice machine manufacturers want to reduce this cost as much as possible. Furthermore, even if they want to sell their products overseas, they are hesitating because of the after-sales service. For this reason, the companies making the ice machine need a system which checks the status of the ice machine and takes the proper actions without the visiting service. Therefore, this paper introduces the remote control and operational status monitoring systems which can monitor the status of the ice machine in the remote area and control it as needed. Through the developed system, the company manufacturing the ice machine and the manager of the ice machine can understand the current status of the ice machine and respond against the ice machine's trouble, immediately. In addition, it can be expected to have great effects on cost reduction because the maintenance and management after selling can be efficiently performed.

• Korean Management Science Review
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• v.23 no.3
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• pp.209-224
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• 2006

The mobile communication technology would be one of the most appropriate means for achieving process innovation in the actual business area. This article performs a simulation study to examine the effect of introducing a mobile technology to the after-sales service and its logistics process. The performances of the two different systems, before and after introducing a mobile technology, are examined based on operational cost, operational efficiency, and customer service level using a discrete event simulation. The real-world data, extracted from a leading Korean electronics firm, was collected for this study. The results show that the TO-BE(after) model outperforms the AS-IS(before) model over all the performance indices. And the effects of introducing the mobile technology are more significant on the more tightly controlled inventory policy.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.3
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• pp.78-84
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• 2002

This research is basically deals with an inventory distribution system with several regional sides branches. Under the continuous review policy, each sales branch places an order to its supplier whenever on hand plus on order inventory falls on the order point, and the order quantity is received after elapsing a certain lead time. This research first shows the method how to apply the product with low lever of demand into the continuous review policy. For the application, we use an order level as the maximum level of inventory during an order cycle. Also we analyze the lost sales case as a customer behavior. Further we use variable demands and variable lead times for more realistic situation. Based on the above circumstances, the research mainly discusses those methods to decide the optimal order level, order point, and order quantity for each sales branch which guarantees the system wide goal level of service, while keeping the minimum level of the system wide total inventory.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.2
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• pp.39-48
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• 2013

The development of mobile communication technology is transforming the market of mobile communication devices, which is used to be merely for simple communication, into the one which offers features of personal digital assistant (PDA), fax communication and Internet access. Unlike a mobile phone which comes out as a complete package and whose functions cannot be changed, a smart phone can be upgraded by its user, adding or removing apps as he pleases. OS's of smart phones are iOS-based Apple, Google Android, Window Mobile, and others. Due to its convenience and powerful features, many people use smart phones its high price. On the other hand, consumer complaints are rising on poor A/S for occasional malfunction. This study analyzes how A/S cases can be classified into groups according to quality factors. We evaluate factors such as consumer impression and consumer satisfaction. By dual quality evaluation using KANO method, we would like to show the different A/S strategy for smart phones, compared with mobile phones.

• Journal of Biosystems Engineering
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• v.9 no.1
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• pp.5-10
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• 1984

Using the renewal theory based on the Weibull distribution, an estimation was made on the number of replacement parts annually required for the after-service of some major parts of power tiller at the local repair shops or dealers. The production requirements of the parts were also estimated for the service in the next 5 years following the sales of power tillers.

• Journal of Intelligence and Information Systems
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• v.17 no.2
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• pp.61-75
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• 2011

A Geographic Information System(GIS) is a system that captures, stores, analyzes, manages and presents data with reference to geographic location data. In the later 1990s and earlier 2000s it was limitedly used in government sectors such as public utility management, urban planning, landscape architecture, and environmental contamination control. However, a growing number of open-source packages running on a range of operating systems enabled many private enterprises to explore the concept of viewing GIS-based sales and customer data over their own computer monitors. K telecommunication company has dominated the Korean telecommunication market by providing diverse services, such as high-speed internet, PSTN(Public Switched Telephone Network), VOLP (Voice Over Internet Protocol), and IPTV(Internet Protocol Television). Even though the telecommunication market in Korea is huge, the competition between major services providers is growing more fierce than ever before. Service providers struggled to acquire as many new customers as possible, attempted to cross sell more products to their regular customers, and made more efforts on retaining the best customers by offering unprecedented benefits. Most service providers including K telecommunication company tried to adopt the concept of customer relationship management(CRM), and analyze customer's demographic and transactional data statistically in order to understand their customer's behavior. However, managing customer information has still remained at the basic level, and the quality and the quantity of customer data were not enough not only to understand the customers but also to design a strategy for marketing and sales. For example, the currently used 3,074 legal regional divisions, which are originally defined by the government, were too broad to calculate sub-regional customer's service subscription and cancellation ratio. Additional external data such as house size, house price, and household demographics are also needed to measure sales potential. Furthermore, making tables and reports were time consuming and they were insufficient to make a clear judgment about the market situation. In 2009, this company needed a dramatic shift in the way marketing and sales activities, and finally developed a dedicated GIS_based market analysis and sales management system. This system made huge improvement in the efficiency with which the company was able to manage and organize all customer and sales related information, and access to those information easily and visually. After the GIS information system was developed, and applied to marketing and sales activities at the corporate level, the company was reported to increase sales and market share substantially. This was due to the fact that by analyzing past market and sales initiatives, creating sales potential, and targeting key markets, the system could make suggestions and enable the company to focus its resources on the demographics most likely to respond to the promotion. This paper reviews subjective and unclear marketing and sales activities that K telecommunication company operated, and introduces the whole process of developing the GIS information system. The process consists of the following 5 modules : (1) Customer profile cleansing and standardization, (2) Internal/External DB enrichment, (3) Segmentation of 3,074 legal regions into 46,590 sub_regions called blocks, (4) GIS data mart design, and (5) GIS system construction. The objective of this case study is to emphasize the need of GIS system and how it works in the private enterprises by reviewing the development process of the K company's market analysis and sales management system. We hope that this paper suggest valuable guideline to companies that consider introducing or constructing a GIS information system.

• The Journal of Information Systems
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• v.31 no.3
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• pp.197-220
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• 2022

Purpose The purpose of this study is to identifies the demand pattern categorization of repair parts of Automotive After-sales Service(A/S) and proposes a demand prediction model for Auto repair parts using Long Short-Term Memory (LSTM) of artificial neural networks (ANN). The optimal parts inventory quantity prediction model is implemented by applying daily, weekly, and monthly the parts demand data to the LSTM model for the Lumpy demand which is irregularly in a specific period among repair parts of the Automotive A/S service. Design/methodology/approach This study classified the four demand pattern categorization with 2 years demand time-series data of repair parts according to the Average demand interval(ADI) and coefficient of variation (CV²) of demand size. Of the 16,295 parts in the A/S service shop studied, 96.5% had a Lumpy demand pattern that large quantities occurred at a specific period. lumpy demand pattern's repair parts in the last three years is predicted by applying them to the LSTM for daily, weekly, and monthly time-series data. as the model prediction performance evaluation index, MAPE, RMSE, and RMSLE that can measure the error between the predicted value and the actual value were used. Findings As a result of this study, Daily time-series data were excellently predicted as indicators with the lowest MAPE, RMSE, and RMSLE values, followed by Weekly and Monthly time-series data. This is due to the decrease in training data for Weekly and Monthly. even if the demand period is extended to get the training data, the prediction performance is still low due to the discontinuation of current vehicle models and the use of alternative parts that they are contributed to no more demand. Therefore, sufficient training data is important, but the selection of the prediction demand period is also a critical factor.

• Fashion & Textile Research Journal
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• v.13 no.4
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• pp.531-537
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• 2011

Employees of sales departments of apparel makers play an important role in the success of a fashion-related business because they provide service through the direct contact with customers. This research tests several hypothesized relationships between its determinants, such as job satisfaction and customer orientation, along with service delivery level. The subjects in this study were salespeople who worked at fashion stores in Yeosu and Sunchon. To measure the hypotheses, 200 questionnaires were handed out and 185 were collected. 163 questionnaires were used for the analysis, as 22 were found to be invalid. Frequency analysis, factor analysis, reliability analysis, and multiple regression techniques were used after coding and cleaning the data with the software SPSS 18.0. The result of this study are as follow. First, job satisfaction have a positive influence on employee's customer orientation. Second, job satisfaction have an effect on procedural and hospitable service delivery level. Third, it was found that the customer orientation have a significant impact on their procedural and hospitable service delivery level.

• Korean Journal of Community Nutrition
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• v.18 no.5
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• pp.505-514
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• 2013

Effect of Menu Calorie Labels on Menu Sales and Consumer's Recognition at a Korean Restaurant in a Hotel The role of calorie information is to help consumers make healthier food choices. However, calorie information is generally unavailable in restaurants. Even in high-end hotel restaurants, which try to provide high quality foods and service, calorie labeling is not mandatory. Therefore, the purpose of this study was to evaluate the effect of calorie labeling on menu sales and consumer's recognition at a Korean restaurant in Kangwonland hotel. The calorie contents of 10 dishes sold in the restaurant were calculated using the food composition table. After making a new menu plate displaying calorie information, the new menu plate and old menu plate were provided every other week for 4 weeks. When we compared the sales between the periods of calorie labeled and calorie unlabeled, sales of 4 items among the 5 food items providing less than 1000 kcal, increased, however the 3 items among the menu providing more than 1000 kcal decreased. As the survey results of total 405 consumers (male n = 232, female n = 173) showed the new menu plate, 68.2% of subjects recognized calorie labeling on the menu plate. Among the subjects who recognized calorie labeling, 58.3% answered that calorie information affected their food choices. And most of them answered that they chose lower calorie foods based on the information provided. The results suggest that displaying calorie information on the menu plate at a Korean restaurant was effective in changing consumer's food choices.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.407-408
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• 2019

This thesis determines the research framework and scale design of leisure food E-Commerce consumer satisfaction degree by referring to previous theoretical model of customer satisfaction degree, the universal satisfaction evaluation index system, and the characteristics of leisure food E-Commerce in China. In this research, consumers who have bought leisure food online are taken as the research object, data are collected by questionnaires, and exploratory factor method is used to screen valid sample data. Through the Empirical Analysis which includes Descriptive Statistical Analysis, Reliability and Validity Analysis and Structural Equation Modeling, it is concluded that website design, logistics delivery service, commodity quality, and after-sales service are the main service quality on which the Leisure food E-Commerce enterprises should take focus. The service quality has significant positive influences on satisfaction degree. On the other hand consumer satisfaction has a significant positive influence on customer loyalty, which will create more earnings for the Leisure food E-Commerce enterprises.