• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.1-8
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• 2004

This study intend to make easy modification, even if there is a new job or structure change, by modularizing program and computerize and automation of production control management used in CIM. under the condition where manager control production on the job-site, for increasing connection with other operation and management on the computer by monitoring center computer, recognizing information by computer is needed, it is possible by converting transaction. So this study goal is to make delivery control and order control fast and accurate by finding dynamic history of machine and production information in enterprise without input production and quality information by themselves with quality information system. So production increase and quality improvement are possible by diminishing manager's and producer's work with the result of the study combining POP and CIM, after that, in e-business and m-business period that every enterprise must pass, customer satisfaction and sales promotion are possible with employee's computerizing minds. these study result also can knowledge process condition with theoretical class and have a power in finding a solution with foundation of theoretical knowledge.

• IE interfaces
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• v.17 no.spc
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• pp.141-151
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• 2004

As today's business environment has become more and more competitive, forward as well as backward flows of products among members belonging to a supply chain have been increased. The backward flows of products, which are common in most industries, result from increasing amount of products that are returned, recalled, or need to be repaired. Effective management for the backward flows of products has become an important issue for businesses because of opportunities for simultaneously enhancing profitability and customer satisfaction from returned products. Since third party logistics service providers (3PLs) are playing an important role in reverse logistics operations, they should perform two simultaneous logistics operations for a number of different clients who want to improve their logistics operations for both forward and reverse flows. In this case, distribution networks have been independently designed with respect to either forward or backward flows so far. This paper proposes a mixed integer programming model for the design of network integrating both forward and reverse logistics. Since the network design problem belongs to a class of NP-hard problems, we present an efficient heuristic algorithm based on genetic algorithm (GA), of which the performance is compared to the lower bound by Lagrangian relaxation. Finally, the validity of proposed algorithm is tested using numerical examples.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.375-388
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• 2004

As today's business environment has become more and more competitive, forward as well as backward flows of products among members belonging to a supply chain have been increased. The backward flows of products, which are common in most industries, result from increasing amount of products that are returned, recalled, or need to be repaired. Effective management for these backward flows of products has become an important issue for businesses because of opportunities for simultaneously enhancing profitability and customer satisfaction from returned products. Since third party logistics service providers (3PLs) are playing an important role in reverse logistics operations, the 3PLs should perform two simultaneous logistics operations for a number of different clients who want to improve their logistics operations for both forward and reverse flows. In this case, distribution networks have been independently designed with respect to either forward or backward flows so far. This paper proposes a mixed integer programming model for the design of network integrating both forward and reverse logistics. Since this network design problem belongs to a class of NP-hard problems, we present an efficient heuristic based on Lagrangean relaxation and apply it to numerical examples to test the validity of proposed heuristic.

• Management & Information Systems Review
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• v.32 no.3
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• pp.173-188
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• 2013

I guess that e-learning buying behaviors have some selection criteria which are interactivity, contents quality, perceived usefulness, and corporate reputation. And I propose that the effects of selection criteria on adaptation intention are moderated by buyer-user status. To accomplish research purpose, I conducted a field survey with a self-administered questionnaire in both user-buyer and analysed the causal relations among the variables by regression analysis. Findings are these. In all of the customer, interactivity, perceived usefulness, and corporate reputation had positive effects on re-attending intention to another e-learning class. In case of users(students), interactivity, contents quality, and perceived usefulness had positive effects, but buyer(parents) showed both perceived usefulness and corporate reputation had positive effects on re-attending intention.

• Archives of design research
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• v.12 no.4
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• pp.161-170
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• 1999

In recent days, consumer's product selection various with diverse life style, not simply with income class. This in why diversified demand and diversified products appear in every industry, which means the success or failure of business relies on tis ability to yield the best productivity under the condition of diversification. The purpose of this study is to discuss how an automaker can create its unique identity and brand image in automobile industry and what's brand role and value, under the recognition that clarifying a target market in development process is indispensable to developing a product of higher marketability. By building and applying a product of higher marketability. By building and applying a brand-unique consistent design identity, it's intended to meet the increasing requirements of product attribute for symbolism or sensitivity so as satisfy or exceed customer expectation.

• Journal of Energy Engineering
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• v.8 no.4
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• pp.519-524
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• 1999

this paper proposes the operation algorithm of 1MW class Battery Energy Storage System(BESS) installed at the extra-high voltage customer. The objective of the proposed algorithm is to reduce electric charges during the operation of the BESS interconnected to power system. This paper simulates the electric charges in 1998 considering Season and Time of Use Rate and Power Factor in the assumption that electricity demand in 1998 is the same amount of that in 1997 and shows the saving of about 40 million won in the total electric charges. The results comparing the real electric charges of June. July and August in 1997 with that in 1998 show that the implementation of the proposed algorithm could significantly reduce electric charges during the operation the BESS.

• Journal of the Korea Safety Management & Science
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• v.25 no.3
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• pp.9-15
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• 2023

As the first step of risk management, risk identification is inevitable to understand the degree of work safety. However, the safety requirements can be divided in necessary factors and additional factors. Thus, we propose a safety requirements assessment model using Kano model derived from Herzberg's two-factor theory, classifying safety requirements into ideal elements and must-be elements. The Kano model is usually applied to evaluate customer satisfaction divided into three major requirements in the fields of product development and marketing: attractive, must-be, and one-dimensional requirements. Among them, attractive requirement and must-be requirement are matched with ideal element and must-be element for safety requirement classification, respectively. The ideal element is defined as preventive safety elements to make systems more safe and the must-be element is referred to as fatal elements to be essentially eliminated in systems. Also, coefficients of safety measurement and safety prevention are developed to classify different class of safety requirements. The positioning map is finally visualized in terms of both coefficients to compare the different features. Consequently, the proposed model enables safety managers to make a decision between safety measurement and prevention.

• Korean Institute of Interior Design Journal
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• v.23 no.4
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• pp.23-31
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• 2014

In this study, in order to analyze customers' space satisfaction, ten modern high-class Korean restaurants, five in New York and another five in Seoul, that were opened or remodeled after 2008 were selected and satisfaction characteristics survey of 197 customers who use these Korean restaurants was conducted by using Likert 5-point scale. The study results(a high reliability was obtained showing the Cronbach's alpha coefficient of average 0.895 for all questions) were analyzed for the frequency, percentage, mean, etc. and the mean between groups were comparatively analyzed by conducting the t-test, Duncan's test by using the SPSS 18.0 statistical program. The results are as follows. First, the results of customers general characteristic comparative analysis, all the Seoul and New York customers have comparatively high academic ability, high income and eating-out expenses. The main customers in Seoul were the women in their thirties and forties while those in New York were mainly in their forties and fifties both men and women at similar rate. Second, as to the satisfaction with the interior, the satisfaction with finishing materials was little higher in New York as Seoul (3.30 points) and New York (3.86 points). The satisfaction with color was relatively higher in Seoul (3.66 points) and relatively lower in New York (3.18 points). As the satisfaction with furniture and decorating accessories was relatively lower in both Seoul (3.10 points) and New York (3.48 points). The satisfaction with space size in Seoul (the total space size: 3.99 points, private space size; 3.90 points) was relatively higher than that in New York (the total space size: 3.46 points, private space size; 3.28 points). The satisfaction with interior and exterior in both Seoul (exterior: 3.63 points, interior: 3.40 points) and New York (exterior: 3.28 points, interior: 3.39 points) were average. For the satisfaction of environment, Seoul (3.42 points) was slightly lower than that of New York (3.56 points). Third, the result of customers' satisfaction in Seoul and New York showed no commonality. Therefore in order to be renewed as the Korean restaurants with high customer satisfaction, it is expected that the Korean restaurants located in Seoul and New York need to plan the space by considering their customers' characteristics and satisfactions.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.245-256
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• 2021

The Fourth Industrial Revolution brought the quantitative value of data across the industry and entered the era of 'Big Data'. This is due to both the rapid development of information & communication technology and the diversity & complexity of customer purchasing tendencies. An enterprise's core competence in the Big Data Era is to analyze and utilize the data to make strategic decisions for enterprise. However, most of traditional studies on Big Data have focused on technical issues and future potential values. In addition, these studies lacked interest in managing the quality and utilization levels of internal & external customer Big Data held by the entity. To overcome these shortages, this study attempted to derive influential factors by recognizing the quality management information systems and quality management of the internal & external Big Data. First of all, we conducted a survey of 204 executives & employees to determine whether Big Data quality management, Big Data utilization, and level management have a significant impact on corporate work efficiency & corporate management performance. For the study for this purpose, hypotheses were established, and their verifications were carried out. As a result of these studies, we found that the reasons that significantly affect corporate management performance are support from the management class, individual innovation, changes in the management environment, Big Data quality utilization metrics, and Big Data governance system.

• Journal of The Korean Association of Information Education
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• v.26 no.4
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• pp.249-263
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• 2022

The purpose of this study is to investigate the effects of assessment by adopting adaptive learning in higher education that are rarely examined in previous studies. In particular, this study applied research questions: 1) How does technical perception, perceived contents and features, and perceived integration of the AI-based adaptive system with lecture affect overall satisfaction, overall effectiveness, overall usefulness, overall motivation for the study, and intention to use it with other classes? 2) How do overall satisfaction, overall effectiveness, overall usefulness, motivation for the class, and intention to use affect loyalty on the AI-based adaptive system? This study conducted online surveys after the completion of the classes adopted AI-based adaptive learning system, ALEKS. This study applied ANOVA, regression, and factor analyses. The results of this study found that perceived integration of the AI-based adaptive learning system with the lectures on overall satisfaction, effectiveness, motivation, and intention to use for other classes showed significant with higher effect size. The results of this study provides implication that the AI-based learning system help improve learning outcomes in graduate level studies. The results provide policy and managerial implications that the AI-based adaptive learning system should improve better customer relationships in higher education.