• Proceedings of the Safety Management and Science Conference
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• 2009.04a
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• pp.429-438
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• 2009

In order to find out the customer requirements and to develop new products more effectively, the Kano model and QFD(Quality Function Deployment), AHP(Analytic Hierarchy Process) developed and applied. But, Many companies difficult to select the CTQ(Critical to Quality) of new product. Especially the life cycle of cell phone is very short. In this thesis, the Kano model and AHP(Analytic Hierarchy Process) for finding the CTQ(Critical to Quality) for customer satisfaction are suggested. It is explained and discussed with the example of cell phone.

• Proceedings of the Safety Management and Science Conference
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• 2010.04a
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• pp.359-369
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• 2010

In order to find out the customer requirements and to develop new products more effectively, the Kano model and QFD(Quality Function Deployment), AHP(Analytic Hierarchy Process) developed and applied. But, Many companies difficult to select the CTQ(Critical to Quality) of new product. Especially the life cycle of Digital Camera is very short. In this thesis, the Kano model and AHP(Analytic Hierarchy Process) for finding the CTQ(Critical to Quality) for customer satisfaction are suggested. It is explained and discussed with the example of Digital Camera.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2002.05a
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• pp.320-325
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• 2002

Today many companies offer millions of products to customers. They are faced with a problem to choose particular products . In response to this problem a new marking strategy, recommendation has emerged. Among recommendation technologies collaborative filtering is most preferred. But the performance degrades with the number of customers and products. Namely, collaborative filtering has two major limitations, sparsity and scalability. To overcome these problems we introduced a new recommendation methodology using adjusted product hierarchy, grain. This methodology focuses on dimensionality reduction to improve recommendation quality and uses a marketer's specific knowledge or experience. In addition, it uses a new measure in the neighborhood formation step which is the most important one in recommendation process.

• Proceedings of the Safety Management and Science Conference
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• 2005.05a
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• pp.291-295
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• 2005

• Journal of Korean Society for Quality Management
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• v.42 no.2
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• pp.235-251
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• 2014

Purpose: To develop efficient PL response system, SMEs should decide which component of PL response system is important and implemented with priority under limited resources. To accomplish this goal, we propose strategic priority components of PL response system for SME manufacturer. Methods: We categorize the components of PL response system based on prior research results - System, Organization, Training, Technology, Cost, and Awareness. AHP (Analytic Hierarchy Process) is applied to extract important components of PL response system, which is used in assigning the priority of component. To analyze effects of each components, performance sensitivity analysis is applied. Results: The survey analysis results show Technology is the most important components. Organization and Cost component are follows. As the importance of Technology is changed, we can find Organization, Cost is second and third important components. Conclusion: Our research shows Technology which is related to make a safe product with systematic process, is a basic enabler of PL response system. Also, building a PL team and securing a budget for PL activity should be carry out with limited resources.

• Journal of Digital Convergence
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• v.3 no.2
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• pp.23-37
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• 2005

On the situation cooperating with business partners on the supply chain, systematic decision making process is a critical issue for them. The two major issues of purchasing strategy such as selecting vendors and managing them are important part of their overall business activities. This study mainly focus on the former issue of the vendor selection. Through the empirical study, analytical hierarchy process (AHP) method was applied to select vendors among supplier vendors based on four selection criteria such as the level of quality, product on management ability, delivery, and price. The results of study showed the main criteria of vender selection was the ability of quality management. The vender selected based on AHP and the current selection method was different, but implicitly projected the dilemma situation between quality and price which occurs in decision making process of real life.

• 한국디지털정책학회:학술대회논문집
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• 2005.11a
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• pp.367-381
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• 2005

On the situation cooperating with business partners on the supply chain, systematic decision making process is a critical issue for them. The two major issues of purchasing strategy such as selecting vendors and managing them are important part of their overall business activities. This study mainly focus on the former issue of the vendor selection. Through the empirical study, analytical hierarchy process (AHP) method was applied to select vendors among supplier vendors based on four selection criteria such as the level of quality, product on management ability, delivery, and price. The results of study showed the main criteria of vender selection was the ability of quality management. The vender selected based on AHP and the current selection method was different, but implicitly projected the dilemma situation between quality and price which occurs in decision making process of real life.

• Journal of the Korea Safety Management & Science
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• v.4 no.3
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• pp.131-140
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• 2002

Today's environment of enterprise is changing, They have to face customer' demands with the right product, the right service and supply them at the right time. And also cut down logistics and inventory cost and bring up the profit as much as they can. This means the change of putting enterprise first in importance to putting customer first importance. therefore to correspond to customer's demand, shorting lead time is becoming a essential condition. The answer to this changes of environment is supply chain management. In this paper, It consolidates the necessity on a LTV(Life Time Value) and analyzes data which is concerned of Customer Value. Under the these environments, defines the LTV(Life Time Value) rule that can improve the customer value. We solved this problems using AHP(Analytic Hierarchy Process) for consistency at relationship matrix, AHP(Analytic Hierarchy Process) is based on Saaty's consistency rate. If consistency rate is under 0.1 point, preference rate's weights are acceptable. This study develop a program for AHP weights and support Satty's consistency rate.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.1
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• pp.99-112
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• 2014

This paper addresses an assessment model for selecting PL(Private Level) product companies. The proposed model extracts the weights of evaluation elements based on AHP(Analytic Hierarchy Process). These evaluation elements are from real-world instances in a domestic hyper market. Especially, the model points at food products which constitute a large portion of entire profits in the market. In this model, we first classify the 54 evaluation elements into 4 layers and secondly carry out a survey with relevant specialists based on them. We also estimate the weights of evaluation elements according to pairwise comparisons from the survey, and propose them as a quantitative alternative which can be applied in real-world problems. Finally, the pilot-study is conducted to compare the proposed model with the existing simple summation method. From this study, HACCP system assessment and Review(0.279281), Transportation(0.117706) and Fundamental law observance(0.066392) are presented as the key evaluation elements for selecting PL product companies. The proposed model facilitates the company selection among those candidate companies which is not easy to determine the superiority by reflecting the importance of evaluation elements.

• Korean Management Science Review
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• v.18 no.1
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• pp.55-68
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• 2001

A virtual shopping mall is like a real-world mall, supports electronic shopping by selling products or services through Interne. Although increasing numbers of products are being marketed on the Web, little efforts has been spent on evaluating what mall is more suitable for marketing electronically and for protecting consumers. Evaluation of virtual shopping malls is regarded as a major task in business-to-consumer electronic commerce. This paper considers the Analytic Hierarchy Process(AHP) method in the evaluation of virtual shopping malls and provides its applications. The AHP is a systematic procedure for representing the elements of any problem, hierarchically. A series of pairwise comparison judgments is performed to express the relative strength or intensity of impact of the elements in the hierarchy. The AHP model hierarchy consists of the four following levels: decision maker, main criteria, sub-criteria, and virtual shopping malls. the main criteria include the state of physical firms, representation of information on the virtual shopping malls, product or service, convenience for shopping, consumer protection, and consumer service. The total number of sub-criteria in the third level is twenty-nine. All decision makers selected belong to virtual shopping mall enterprises, or universities. As a case study, we show the synthesized priority of the five virtual shopping malls that have acquired an E-Trust mark. Finally a sensitivity analysis shows how well each virtual shopping mall performs on each criterion by increasing or decreasing the importance of the main criteria.