• Journal of the Korean Operations Research and Management Science Society
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• v.19 no.3
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• pp.93-109
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• 1994

Even though sojourn time distributions are essential information in analyzing queueing networks, there are few methods to compute them accurately in non-product form queueing networks. In this study, we model the location process of a typical customer as a GMPH semi-Markov chain and develop computationally useful formula for the transition function and the first-passage time distribution in the GMPH semi-Markov chain. We use the formula to develop an effcient method for approximating sojourn time distributions in the non-product form queueing networks under quite general situation. We demonstrate its validity through numerical examples.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.10
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• pp.1712-1717
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• 2010

To analyze the load of distribution line, real LPs (Load Profile) of AMR (Automatic Meter Reading) customers and VLPs (Virtual Load Profile) of non-AMR customers are required. Accuracy of VLP is an important factor to improve the analysis performance. There are 2 kinds of methods to generate the VLP; one is using ALP (Average Load Profile) per each industrial code and PNN (Probability neural networks) algorithm; the other is using LSI (Load Shape Index) and C5.0 algorithm. In this paper, existing researches are studied, and new method is suggested. Each methods are compared the performance with same LP data of real high voltage customers.

• Journal of applied mathematics & informatics
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• v.8 no.1
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• pp.285-295
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• 2001

We consider a queueing system under overload control to support bursty traffic. The queueing system under overload control is modelled by MMBP/D1/K queue with two thresholds on buffer. Arrival of customer is assumed to be a Markov-modulated Bernoulli process (MMBP) by considering burstiness of traffic. Analysis is done in discrete-time case. Using the generating function method, we obtain the stationary queue length distribution. Finally, the loss probability and the waiting time distribution of a customer are given.

• Communications of the Korean Mathematical Society
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• v.14 no.3
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• pp.611-625
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• 1999

We consider ΜΑΡ/G/ 1 finite capacity queue with mul-tiple thresholds on buffer. The arrival of customers follows a Markov-ian arrival process(MAP). The service time of a customer depends on the queue length at service initiation of the customer. By using the embeded Markov chain method and the supplementary variable method, we obtain the queue length distribution ar departure epochs and at arbitrary epochs. This gives the loss probability and the mean waiting time by Little's law. We also give a simple numerical examples to apply the overload control in packetized networks.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.1
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• pp.42-49
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• 2020

This study is an empirical research to find out the effect on the management performance of hidden champions of food manufacturing companies when using blue ocean strategy for new product development. In order to achieve the purpose of this study, we conducted a questionnaire survey on hidden champions in the domestic food manufacturing industry and proceeded empirical analysis. When small and medium-sized enterprises in food manufacturing industries develop a new product, searching for non-customer, rebuilding the market boundary, and linking the external networks have a significant impact on their management performance. However, the fair procedure did not have a significant effect on the management performance. In terms of relative influence, rebuilding the market boundary was most affecting, followed by searching for non-customer and linking the external networks. On the other hand, this study implicated the management performance of hidden champions of food manufacturing industries when new products is developed by using the blue ocean strategy. Obtained results are as follows. If small and medium-sized enterprises of food manufacturing industries develop new products, it will be able to improve the management performance by utilizing strategies such as searching for non-customer, rebuilding the market boundary, and linking the external networks. In particular, the rebuilding the market boundary among the blue ocean strategies has a relatively high impact on management performance.

• Journal of the Korea Society of Computer and Information
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• v.16 no.3
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• pp.157-165
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• 2011

The QoS management is an agreement of service user and service provider in B3G networks, and service provider must support proper the network service to service users by the agreement facts. The service provider must provide the QoS method to maintain the agreed service, which manages the detail method of system level from policy level. By the agreement of service policy, the service provider can give the QoS to the service customer with the service agreement. Hence, in this paper we propose a QoS mapping method of heterogeneous networks to provide the customer service through the service agreement based on the SLA of B3G networks.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 1999.11a
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• pp.71-75
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• 1999

The customer cabling systems play an important role in the telecommunication networks as an distribution network facilities between the exchange and customer premises. The present standards for domestic customer cabling systems are insufficient for supporting high speed multimedia services. In this paper, the status of the related international standardization and technical standards are investigated in order to enhance current customer cabling facilities in Korea. This paper analyzes the problems in the current technical standards and suggests how to improve technical standards.

• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.512-522
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• 2009

The purpose of this study is to analyze IT infrastructure of Korean apparel industry in order to enhance business effectiveness and customer's satisfaction in information society with global networks. For this study, the questionnaires were distributed to 57 apparel industries in Korea. The data were analyzed by factor analysis, descriptive statistics, Cronbach's alpha coefficient, multi regression analysis. The results of this study are as follow: First, Considering the apparel industry, construction of information system is essential for assistance of information policy and utilization of information. Understanding of e-business policy affects profits of suppliers. Second, Apparel industry with higher information policy has higher productivity with flexibility. Third, Apparel industry which has close relationship with suppliers has better customer support. Flexible scheduling and production line are important factors for quick response of customer's order and need.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.6
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• pp.19-19
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• 2002

In this paper the authors explore the effect of bandwidth sharing to the utility of the customer for the best-effort Internet services and draw a basis for the pricing principle in Internet Protocol networks. Especially, we investigate the behavior of a customer′s utility in case an arbitrary amount of additional bandwidth is allowed to each customer for the elastic traffic, which is the typical example of the non-real time Internet data traffic. After drawing the utility curve, which will be proved to follow the concave curve, we will apply it to the pricing of Internet traffic. Finally, via numerical experiments, we will illustrate the validity and implication of the proposed method.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.39 no.6
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• pp.277-284
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• 2002

In this paper the authors explore the effect of bandwidth sharing to the utility of the customer for the best-effort Internet services and draw a basis for the pricing principle in Internet Protocol networks. Especially, we investigate the behavior of a customer's utility in case an arbitrary amount of additional bandwidth is allowed to each customer for the elastic traffic, which is the typical example of the non-real time Internet data traffic. After drawing the utility curve, which will be proved to follow the concave curve, we will apply it to the pricing of Internet traffic. Finally, via numerical experiments, we will illustrate the validity and implication of the proposed method.