• Journal of the Korea Society for Simulation
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• v.27 no.2
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• pp.91-100
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• 2018

Recently, the traditional call center, which has an important role as the customer's primary contact point, has been transformed into the omni-channel contact center which supports an additional variety of access channels in addition to phone calls in order to improve customer accessibility and convenience. The omni-channel contact center has agents on each channel which are vital in determining the response rate and waiting time for the customer. In traditional call centers, agents can be assigned to a call based on the characteristics of the call, however in omni-channel contact centers, the characteristics of issues vary and come in through multiple channels, each with their own characteristics, making it difficult to assign the appropriate agent for the issue. Customers must also be processed at the same time, adding an additional layer of complexity to the issue. This paper analyzes and simulates an omni-channel contact center that accommodates email, chat, voice calls and video consultation, and investigates how to optimize the allocation of agents.

• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.287-310
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• 2022

Companies' interest in developing AI-based intelligent new products is increasing. Recently, the main concern of companies is to innovate customer experience and create new values by developing new products through the effective use of Artificial intelligence technology. However, due to the nature of products based on radical technologies such as artificial intelligence, intelligent products differ from existing products and development methods, so it is clear that there is a limitation to applying the existing development methodology as it is. This study proposes a new research method based on KANO-TOPSIS for the successful development of AI-based intelligent new products by using car voice assistants as an example. Using the KANO model, select and evaluate functions that customers think are necessary for new products, and use the TOPSIS method to derives priorities by finding the importance of functions that customers need. For the analysis, major categories such as vehicle condition check and function control elements, driving-related elements, characteristics of voice assistant itself, infotainment elements, and daily life support elements were selected and customer demand attributes were subdivided. As a result of the analysis, high recognition accuracy should be considered as a top priority in the development of car voice assistants. Infotainment elements that provide customized content based on driver's biometric information and usage habits showed lower priorities than expected, while functions related to driver safety such as vehicle condition notification, driving assistance, and security, also showed as the functions that should be developed preferentially. This study is meaningful in that it presented a new product development methodology suitable for the characteristics of AI-based intelligent new products with innovative characteristics through an excellent model combining KANO and TOPSIS.

• Journal of the Korean Society of Fashion and Beauty
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• v.6 no.1
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• pp.1-15
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• 2008

Beauty Art typically has been viewed as the best way to represent women's beauty. Specifically, nail art is a mean for the new generation to unveil their individuality. Nail-shop customers usually feel refreshed, and that emotional change gives them aesthetic and emotional satisfaction. The popularization of nail art and the growth of nail-art market arises the people's concern to the necessity of marketing strategy as part of the beauty industry, as well as the importance of service quality and customer satisfaction. The purpose of this study is to examine women's changing view of nail care and relevant consumption behavior. Also to analyze the voice of customers about the quality of services provided by nail shops, and to have the right understanding of the industry and as well as to determine some of the right directions for marketing.

• International Journal of Contents
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• v.8 no.3
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• pp.71-78
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• 2012

The emergence of the Internet has provided a new outlet for consumers who experience service failure from products and services, augmenting the traditional options of entry, voice and action. Consumers' negative word of mouth through online (word-of-mouse or eWOM) far exceeds traditional word of mouth (WOM) in respect of its potential effectiveness, speed and spread. This paper tries to figure out the service failure themes in the health care industry by analyzing online word-of-mouse using the critical incidents technique (CIT). Complaint themes in the area of healthcare are identified and analyzed. The results identify that major complaint theme differed according to the site type. Also, the findings indicate that delivery and customer services are critical issues when consumer makes negative WOM.

• Journal of the Korean Society of Systems Engineering
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• v.5 no.2
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• pp.1-9
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• 2009

This paper proposes an effective method on the DFILS(Design for Integrated Logistics Support) in ammunition development applying QFD(Quality Function Deployment) method. The goal of this research is to define the Design for ILS approach at the start of the ammunition development and to yield a set of reusable requirements. Based on 000mm High-Explosive(Warship ammunition) development work, a QFD software tool, CUPID, was used to analyze and define the field force's requirements. Additionally, a set of reusable requirements are identified and defined for use during the Design for ILS development phase in the next-generation ammunition development process. These set of requirements that consider both the priority and importance of the VOC(Voice of Customer) will contribute to the early phase of the ammunition development to implement the Design for ILS specialty engineering effort.

• Journal of the Korea Safety Management & Science
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• v.11 no.1
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• pp.75-85
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• 2009

Designers have to consider voice of customer, process capability, manufacturing standards & condition, manufacturing method and characteristics of products to decide tolerances. Especially, in case of position of hole and pin, designers have to consider process capability to decide tolerances. The traditional position tolerances used in a drawing are theoretical values which are allocated to position under the worst case assembling condition that both hole and pin are the maximum material condition(MMC). However, when the process capability is high, more exact product size can be produced under stable manufacturing condition. Larger clearance of hole and pin can be allocated. In this point of view, manufacturer could increase the yield by allocating larger position tolerance than theoretical position tolerance of hole and pin considering process capability.

• Korean Management Science Review
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• v.13 no.3
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• pp.91-104
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• 1996

The basic idea of Quality Function Deployment(QFD) is to deploy the voice of customers into the final product through product planning, part planning, process planning, and manufacturing. In the product planning stage, which is the first stage of product development, customer attributes(CAs) are translated into engineering characteristics(ECs). Then, based on the relationship between CAs and ECs, the target values of ECs are determined. In the previous research, the process of analyzing these relationships is mostly subjective in nature. In this article, we formulate the process of determining the target values of ECs as an optimization model. That is, we first determine the relationship between CAs and ECs as cumulative logit models and construct constraints into which the company strategy as well as the needs of customers can be incorprated. Next, cost functions of ECs are developed, which are summed into an objective function. An algorithm to solve the formulated optimization problem is developed and illustrated with an example.

• Journal of the Korean Society of Clothing and Textiles
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• v.33 no.3
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• pp.366-378
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• 2009

The purpose of this study was to understand fashion product consumers' relationship dissolution by considering the characteristics of customer behavior and examining the connection between the main variables. The survey was conducted on 623 women over 20 years old who had experienced relationship dissolution or problems with regular fashion stores in the areas of Seoul and Kyungki in September 2005. The SPSS 12.0 package and Amos program were used to analyze the data. The results of this study were as follows: First, service recovery justice of a fashion store, interactional justice, distributive justice, and procedural justice had effects on encounter satisfaction. Furthermore, encounter satisfaction influenced relationship dissolution behavior, voice, exit, loyalty, neglect via overall satisfaction. Second, there were differences in relationship dissolution behavior according to consumer loyalty and switching costs.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.417-428
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• 2008

Designers have to consider voice of customer, process capability, manufacturing standards & condition, manufacturing method, characteristics of products to decide tolerances. Especially, in case of position of hole and pin, designers have to consider process capability to decide tolerances. The traditional position tolerances used in a drawing are theoretical values which are allocated to position under the worst case assembling condition that both hole and pin are the maximum material condition(MMC). However, When the process capability is high, more exact product size can be produced under stable manufacturing condition. larger clearance of hole and pin can be allocated. In this point of view, manufacturer could increase the yield by allocating larger position tolerance than theoretical position tolerance of hole and pin considering process capability.

• Journal of applied mathematics & informatics
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• v.22 no.1_2
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• pp.523-533
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• 2006

We analyze two finite buffers queueing system with priority scheduling dependent upon queue length. Customers are classified into two types ( type-l and type-2 ) according to their characteristics. Here, the customers can be considered as traffics such as voice and data in telecommunication networks. In order to support customers with characteristics of burstiness and time-correlation between interarrival, the arrival of the type-2 customer is assumed to be an Markov- modulated Poisson process(MMPP). The service order of customers in each buffer is determined by the queue length of two buffers. Methods of embedded Markov chain and supplementary variable give us information for queue length of two buffers. Finally, performance measures such as loss and mean delay are derived.