• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.485-490
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• 2002

Demands of customers are being changed and varied. And in this circumstance, it become a main issue of management that the company should produce and sell products according to the customer demands. With these trends, each company has been concentrating effects on generalization of product development technique and distinction of service for customer. To fulfill these demands of customer, they need a concept of eCRM(Web based Customer Relationship Management), and go from soiling products and services, or gathering customer requests, up to the phase of solving customer's problem by real time or previous action. With the help of internet, the frequency and speed of the problem solving has improved greatly. In the Supply chain, The ATP(Available to Promise) function doesn't only give customers to conformation of delivery. It can be used by the core function with ATP rule that can reconcile supplies and demands on the supply chain. Therefore We can be acquire the conformation about on the due date of supplier by using the ATP function of management about real and concurrent access on the supply chain, also decide the affect about product availability due to forecasting or customer's orders through the ATP. In this paper, It consolidates the necessity on a ATP and analyzes data which is concerned of ATP. Under the these environments, defines the ATP rule that can improve the customer value and data flow related the eCRM and builds on a algorithm.

• Korean System Dynamics Review
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• v.5 no.1
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• pp.49-71
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• 2004

Demand-side Management can be defined as'any utility activity aimed at modifying customers' use of energy to produce desired changes in the utility's load shape'. Customers benefit by being able to control energy costs and improve quality of life and become more productive. Utilities benefit from DSM's value as a resource that enhances asset utilization and reduces both fuel costs and environmental emissions. The scope of DSM includes load management through rate schedules and conservation by improving energy effciency and using electricity consumption effectively. This paper study the DSM resource evaluation and customer behavior analysis todesign the DSM Program plan in response to customer needs. We develop basic system dynamics model to analysis the customer behavior based on a survey research. The DSM Program participants in the Hi- efficiency Inverter, Electric motor and efficient lighting applicancies operating by Conservation program 2002 become the survey objects. DSM resource evaluation evaluate firstt the distribution potentialities of each machine and then forecast the degree of diffusion. We apply the system dynamic approach to simulate the dynamic DSM market situation at the domestic beginning. This model will give the energy Planner the opportunity to create different scenarios for DSM program planning. Also it will lead to increased understanding of the dynamic DSM market

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.3
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• pp.58-64
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• 2005

Customer sensibility based recommendation agent system was developed to tailor to the customer the suggestion of goods and the description of store catalog in on-line shopping mall. The recommendation agent system composed of five modules and seven services including specialized algorithm. This study was to investigate the effectiveness of the customer sensibility based recommendation agent system in on-line shopping mall. This study asked 30 male and female students to perform the task in on-line shopping mall and facilitated them questionnaires. The questionnaires were administered to subjects to measure quality precision, ease of use, support of buying, purchasing power, future intention of the system. The study revealed that good part of the subjects positively evaluated the customer sensibility based recommendation system except for ease of use. The study on usability of the recommendation agent system has need to be performed in next. This paper shows that the satisfaction and the buying power of customers may be improved by presenting customer sensibility based recommendation in on-line shopping mall.

• Journal of the Korea Safety Management & Science
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• v.14 no.1
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• pp.189-200
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• 2012

Many companies have endeavored to build a quality cost management system in order to be more productive business organization. This study shows the detail procedures of constructing a quality cost management system which is believed to be appropriate for their business system. That is, the method to calculate the quality cost and the linking logic between the quality improvement and its financial impact are explained based on a particular industry case. In this sense, the changes of business performance measures such as market share, customer satisfaction, etc. were analyzed in the longitudinal perspective for the consecutive 4 years (2003~2006). As the quantitative results of this study, the improvement activities based on the quality cost management system resulted in the 32% reduction of quality cost and the 121% increase of business profit, compared 2005 with 2006. In the qualitative perspective, the successive practice of quality cost reduction and the job information sharing in business unit were obtained by providing the best practices and bench-marking cases. Finally, the customer satisfaction has increased so that the customer-friendly management system has been accomplished. With these efforts, the 3.4% increase of the market share and the 3% increase of the customer satisfaction were obtained in 2005. As the future study, the current study can be extended to the concept of COPQ (cost of poor quality) which focuses on the hidden quality cost of the whole business activities. Such extension of analysis will help us understand the wider role of a quality cost management system in the business.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.1
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• pp.21-28
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• 2013

The paper proposes an optimal sizing method of a customer's battery energy storage system (BESS) which aims at managing the electricity demand of the customer to minimize electricity cost under the time of use(TOU) pricing. Peak load limit of the customer and charging and discharging schedules of the BESS are optimized on annual basis to minimize annual electricity cost, which consists of peak load related basic cost and actual usage cost. The optimal scheduling is used to assess the maximum cost savings for all sets of candidate capacities of BESS. An optimal size of BESS is determined from the cost saving curves via capacity of BESS. Case study uses real data from an apartment-type factory customer and shows how the proposed method can be employed to optimally design the size of BESS for customer demand management.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2002.05a
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• pp.305-314
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• 2002

In order to adapt to today's rapidly changing environment and gain a competitive advantage, many companies are interested in CRM(Customer Relationship Management). Especially, the product recommendation system that can be implemented by personalizing the marketing strategy becomes the focus of CRM. In this research, we employed CBR(Case-Based Reasoning) technique that can overcome the limitation of CF(Collaborative Filtering) technique. Our system recommends the books that the customer is very likely to buy next time considering the factors such as 'Personal Features of Customer,' Similarity between Book Categories' and 'Sequence of Book Purchases'. Accuracy of predicting a book-not a particular book, but in the middle level of classification that contains about 190 categories-was about 57%.

• Asia pacific journal of information systems
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• v.16 no.4
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• pp.71-101
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• 2006

Modern companies have heavily invested in developing CRM systems without explicitly knowing how the systems improve customer relationship management. Many researchers have attempted to find the factors that contribute to the success of CRM systems. However, most research have investigated the direct relationships between CRM success factors and system success without explaining how the factors contribute to the system success. It seems to be logical to think that success factors enhance the customer equity value management (CEVM) capability of the firms and then these capabilities are the foundation for the success of systems. In this study, we developed a CRM success model that includes CEVM capability as a mediating variable. The research followed the following steps: (1) CRM success factors that have theoretical relationship with CEVM capability are identified and categorized, (2) the theoretical relationship between CEVM capability and CRM performance is established in the perspective of strategic CRM, and (3) the research model is tested with the survey data collected from Korean firms.

• Journal of Korean Society for Quality Management
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• v.35 no.4
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• pp.26-37
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• 2007

The demand of ubiquitous home network system is rapidly increasing in Korea as each construction enterprise makes a huge effort to introduce it to apartment complex. However, the design of home network system is rather technology oriented than the customer focused. Lack of knowledge about customer needs is an obstacle in spreading the ubiquitous home network system to the market regardless of technology development. In this paper, we propose a HCSI(customer satisfaction index for home network system) using an SEM(structural equation model) where structural relationship among several factors influential on users' satisfaction is considered. This model enables to calculate the satisfaction index for target customer group so that one can provide necessary feedback information for improvement of the home network system used for each group.

• Journal of Korean Society for Quality Management
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• v.39 no.3
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• pp.444-460
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• 2011

We study on the Influence of Business Performance by the Defense Quality Management System(DQMS). In this paper, we establish the 7 hypothesis which is as following that Motivation of DQMS certificate and CEO leadership of DQMS certificate will affect the DQMS, DQMS will affect on Quality performance and Customer performance, Quality performance will affect on Customer performance, each of Quality performance and Customer performance will affect Business Performance. By empirical study, we prove all hypothesis is accepted. We hope this result to improve performance and DQMS of corporate which try to take DQMS certificate.

• Journal of Multimedia Information System
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• v.8 no.1
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• pp.69-74
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• 2021

This paper accumulates the product structure data such as bond obligation ratio and investment ratio for variable insurance using crawling from the insurance company's API, also accumulates variable insurance income and project expenses for variable insurance using crawling from the API of life insurance association. From these accumulated data, the correlation coefficient between fund product and customer preference is calculated with an investment algorithm, and variable insurance funds by customer investment preference and product structure are recommended according to market conditions. From the simulation results, it is shown that the proposed variable insurance management system properly recommends and manages variable insurance according to customer preferences.