• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.23-31
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• 2023

Research and interest in sustainable printing are increasing in the packaging printing industry. Currently, predicting the amount of ink required for each work is based on the experience and intuition of field workers. Suppose the amount of ink produced is more than necessary. In this case, the rest of the ink cannot be reused and is discarded, adversely affecting the company's productivity and environment. Nowadays, machine learning models can be used to figure out this problem. This study compares the ink usage prediction machine learning models. A simple linear regression model, Multiple Regression Analysis, cannot reflect the nonlinear relationship between the variables required for packaging printing, so there is a limit to accurately predicting the amount of ink needed. This study has established various prediction models which are based on CART (Classification and Regression Tree), such as Decision Tree, Random Forest, Gradient Boosting Machine, and XGBoost. The accuracy of the models is determined by the K-fold cross-validation. Error metrics such as root mean squared error, mean absolute error, and R-squared are employed to evaluate estimation models' correctness. Among these models, XGBoost model has the highest prediction accuracy and can reduce 2134 (g) of wasted ink for each work. Thus, this study motivates machine learning's potential to help advance productivity and protect the environment.

• Journal of the Korean Geosynthetics Society
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• v.23 no.1
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• pp.17-25
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• 2024

The Voids in the Mineral Aggregate (VMA) within asphalt mixtures play a crucial role in defining the mixture's structural integrity, durability, and resistance to environmental factors. Accurate prediction and optimization of VMA are essential for enhancing the performance and longevity of asphalt pavements, particularly in varying climatic and environmental conditions. This study introduces a novel machine learning framework leveraging ensemble machine learning model for predicting VMA in asphalt mixtures. By analyzing a comprehensive set of variables, including aggregate size distribution, binder content, and compaction levels, our framework offers a more precise prediction of VMA than traditional single-model approaches. The use of advanced machine learning techniques not only surpasses the accuracy of conventional empirical methods but also significantly reduces the reliance on extensive laboratory testing. Our findings highlight the effectiveness of a data-driven approach in the field of asphalt mixture design, showcasing a path toward more efficient and sustainable pavement engineering practices. This research contributes to the advancement of predictive modeling in construction materials, offering valuable insights for the design and optimization of asphalt mixtures with optimal void characteristics.

• Journal of Distribution Research
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• v.17 no.3
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• pp.93-113
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• 2012

Early conflict research in channel and organization area have focused on the definition of conflict construct, its cause, consequence and identified conflict resolution management. Recent studies about conflict, however, have explored new assumption of complexity, a multidimensional conflict construct, contextual conflict management strategies, positive and negative conflict/consequence, and the conflict resolution strategy. Although many literatures exists on channel conflict resolution, little research has been done about relationship learning and performance from conflict resolution perspective. This study explores how channel members can achieve a relationship learning, as a conflict resolution mechanism, which enhance co-created value in marketing channel relationship. Therefore we propose that conflict resolution strategies(collaborating behavior and avoiding behavior) influence channel performance(effectiveness and efficiency) through relationship learning processes(learning via information exchange, joint interpretation and coordination, relationship-specific knowledge memory), in view of buyer-seller relationship. The research model is shown at

• The Journal of Information Technology
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• v.7 no.4
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• pp.103-117
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• 2004

The risk management industry has grown considerably in the past few years. Risk managers are entering the ranks of senior management, becoming a part of the decision making process and the oversight of its operations. Risks are inherent in any project. Furthermore, risk taking is essential to progress, and failure is often a key part of learning. Although some risks are inevitable, this does not mean that attempting to recognize and manage them will harm opportunities for creativity. Risk management is, and will remain, very much reliant on timely, clean and comprehensive data. Therefore, this paper was designed the current state of risk management practice, and planning the strategy of effectiveness risk management for company.

• Journal of the Korean Professional Engineers Association
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• v.27 no.6
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• pp.85-93
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• 1994

For the continuous development of the manufacturing company, selp-helpㆍdiligence of the individual members of the organization and cooperation system of the sub-department process of the manufacture must operate under rationality. Moreover, perpetual and reasonable improvement on productivity should be focused on. Improvement on productivity implies raising $\ulcorner$output / input$\lrcorner$ ratio, and this does not only implies simple increase of the level of output. Therefore under the theoretical principle, Which is designed to increase the ratio of $\ulcorner$output / input$\lrcorner$ -economically select the relevant $\ulcorner$methodology$\lrcorner$. When rational improvement on productivity $\ulcorner$techniques$\lrcorner$ are properly applied with this methodology, calculated result will come out. The ultimate aim of improving quality does not mean simply reducing the percentage of the defects, but means improving the quality of products, for customer satisfaction. Thus recognize this, we have to contribute to the national economy growth through the enhancement of added value of individual company by $\ulcorner$improvement on quality and productivity, and reduction of the cost$\lrcorner$, $\ulcorner$improvement program on quality and productivity$\lrcorner$ shouldn't be just the parading formality. We can expect the economy result, these are applied to the learning essence and the principle of the improvement.

• Journal of the Korean Society of Industry Convergence
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• v.6 no.4
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• pp.413-420
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• 2003

We can take 'Profit security', in the field Process improvement activity and man-power upgrade in the learning of organization activity or upgrading ability of each peoples. After Tayler System(Scientific Management in1911) and Ford System(Conveyor system in 1913), Toyota System(Ohno's TPS; Toyota Production System around 1980) which was developed by Toyota in Japan in the third productive revolution. This thesis study on the focus of 2 successful examples(P and S companies in Seong-Seo industrial complex Tae-Gu city) which introduce Toyota system can apply to VM(Visual Management), 3jeong(Right Products Right Quantity, Right Box and Right Position)5S(Seiri, Seiton, Seisoh Seiketsu, Sitsuke), JIT(Just In Time), KAIZEN(Improvement), KANBAN System(Logistic) and output of Factory. For examples P company obtained a lot of results(productivity increase 19%, Quality up 46%-36ppm, storage decrease 25% per year), S company obtained a lot of results(productivity increase 20%, Quality up 40%, storage decrease 33% per year, 2600 improvements in 2002. In conclusion Korean KANBAN system (modified Toyota System) is similar to exchange of work as Korean traditional system in agriculture as like dure 'PUMASHI' SANGBU-SANJO) that's autonomous management systems. In conclusion Korea KANBAN system needs apply to not only all the manufacturing industry but also the various fields of industry.

• Asia Marketing Journal
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• v.14 no.4
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• pp.1-22
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• 2013

A growing gap between market needs and the capabilities of the enterprise prompts repositioning (Corstjens and Dolye 1989). This article examines the strategic repositioning of 'Korando Sports' undertaken by SYMC throughout the period from Jan. 2012 to Jun. 2012, to boost sales volume and market share by entering market of active-lifestyle consumers currently occupied by SUVs. SYMC's experience indicates that it is essential to close the gap between the market needs and the ability of the enterprise to make a shift to new consumer segment with a new positioning. The successful repositioning framework(Ryan et al. 2007) were employed in this paper. This framework is comprised of six elements: core strategic values, strategic flexibility/learning capabilities, customer awareness and sensitivity, external orientation, management commitment, and belief in the product and brand. The evaluation based on the successful framework also confirms that 'Korando Sports' case meets all the requirements of the successful strategic repositioning. This paper provides some of the managerial implications with aim of assisting executives in identifying strategic repositioning opportunities. Primarily, the 'Korando Sports' case affirms the repositioning as a viable strategy and indicates that repositioning is a feasible means for strategic change. Second, this case shows the influence of a target consumer and SYMC's repositioning to follow consumer preference for a particular attribute. Moreover, we can understand how a product formerly considered weak in attributes can enjoy benefits in other segments with the same attributes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.3
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• pp.564-568
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• 2020

Problem-based learning (PBL) is applied to various subjects for the sake of learners' creative thinking, problem-solving skills, presentation skills, confidence, self-directed learning, cooperation, and for the communication skills required in a rapidly changing society. Among them, the English language-an official language-is invested in 2.3 times more than other subjects, according to the English education company Yoon's Teacher. Therefore, PBL is an important learning method. However, the reality is that teacher-centered instruction, acquiring knowledge of the best answers only, and traditional evaluations are the main subjects. In order to supplement these weak points, this study designed a learning model for English subjects based on Barrows & Myers (2002) and the analyze, design, develop, implement, and evaluate (ADDIE) model. As a result of a PBL English class based on the ADDIE model, the learners were able to improve their presentation skills by 86%, their interest in learning by 86%, their understanding of learning by 86%, and cooperation by 100%. As such, studies on designing the learning model should be carried out continuously to achieve the purpose of 21st century English education, which is to improve learners' communication skills and information processing skills.

• 대한공업교육학회지
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• v.35 no.2
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• pp.82-111
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• 2010

The goal of this paper was to understand the skill-up experiences of ex-participants of the customized training program in Technical High Schools for Small and Medium Business during first 2 years in Company through qualitative interviews with 3 purposefully selected ex-participants. Their core skill-up experience in this period was assumed as the shift from' dependent worker' to 'independent worker' on the base of literature review. The results of this study were following : 1. The small and medium companies offered a few formal training for newcomers, production-site orientation through short job rotation, linking them with skilled workers and job manuals or job standards. 2. Authentic skill-up experiences were combined with a structured reprimand, peer learning, deep learning through reflection on one's own experiences. 3. There were a few handicap conditions that disturbed their skill-up activities: the skilled worker don't open their skill toward new corner; the ex-participants in company had no time to learn anything meaningful to up-grade their competency.

• Journal of the Korea Convergence Society
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• v.11 no.8
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• pp.165-171
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• 2020

Most of the stock price prediction research using text mining uses news and SNS data. However, there is a weakness that it is difficult to get honest and vivid information about companies from them. This paper deals with the problem of the prediction for the direction of stock price by doing text mining the online company reviews of internal staff indicating employee satisfaction. The comparative analysis of the prediction models for the direction of stock price showed the prediction model, which adds internal employee reviews, has better performance than those that did not. This paper presents the convergence study using natural language processing in financial engineering. In the field of stock price prediction, This paper pursued a new methodology that used employee satisfaction. In practice, it is expected to provide useful information in the field of forecasting stock price direction.