Recently the increased attention pays on the processing of multiple, relatively low quantity, high value-added products resulted in adoption of batch process in the chemical process industry such as pharmaceuticals, polymers, bio-chemicals and foods. As there are more possibilities of the improvement of operations in batch process than continuous processes, a lot of effort has been made to enhance the productivity and operability of batch processes. But the chemical process industry faces a range of uncertainties factors such as demands for products, prices of product, lead time for the supply of raw materials and in the production, and the distribution of product. And global competition has made it imperative for the process industries to manage their supply chains optimally. Supply chain management aims to integrate plants with their supplier and customers so that they can be managed as a single entity and coordinate all input/output flows (of materials, information) so that products are produced and distributed in the right quantities, to the right locations, and at the right time.The objective of this study is to solve the purchase, distribution, production planning and scheduling problem, which minimizes the total costs of production, inventory, and transportation under uncertainty. And development of SCM model in chemical industry including batch mode operations. Through that, the enterprise can respond to uncertainty. Also integrated process optimal planning and scheduling model for manufacturing supply chain. The result shows that, the advantage of supply chain integration are quality matters seen by customers and suppliers, order schedules, flexibility, cost reduction, and increase in sales and profits. Also, an integration of supply chain (production and distribution system) generates significant savings by trading off the costs associated with the whole, rather than minimizing supply chain costs separately.
Journal of Information Technology and Architecture
/
v.11
no.3
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pp.347-357
/
2014
This research aims to suggest the possibility of functional culture contents based on interdisciplinary methodologies, especially for people who have Autism Spectrum Conditions, or those who have disabilities on express and receive gamsung (emotions). Recently, the development of application technologies in smartphones and tablet computers needs of functional culture contents, which are connected with the gamsung system. Moreover, the potential of marketplace of functional culture contents is emerging, as can be seen from the success of Augmentative and Alternative Communications (AAC) applications. Therefore, with the development of more applications that prevent and resolve Gamsung Disabilities anticipatively, there will be a positive economic effect of reducing back on intervention expenses as well as the construction of new contents ecosystem. So, in this research, we will attempt to make an approach of using the cultural semiotics methodology in finding attributes and features of applications that help to keep mental stability and balance for people with gamsung Disabilities. Particularly, this research will suggest an interdisciplinary theory on healing contents making methodology, using contents analysis; user interface (UI) analysis; and user experience (UX) analysis on existing smart healing applications.
The object of the study is to examine the change of social-economic structure and poverty-shape to escape poverty. In Korea, the working poor have been increased by flexibility and division of labor market since the economic crisis in 1997, and are faced with hard conditions due to the vulnerable welfare system. Especially the workers who engage in irregular jobs were increased by restructure of labor market. Besides they are in unstable employment terms such as low payment, low-skill and exclusion from welfare-benefit. Many small independent businessmen are also in danger of poverty for enterprises trend to move abroad by globalization. Poverty policy in our country was focused on the absolute poor class that has relation with old age, unemployment, disable, disease etc, so they were the object of welfare policy. The poverties, however, are increasing rapidly after the economic crisis, and they work so hard but are still poor, that is, participation in labor market doesn't become an element to escape poverty. Thus the emergence of new poverties whose core consists of the working poor becomes to need new poverty policy. The study is to survey change of their economic conditions, their welfare conditions, their experiences and responses of social dangers after the economic crisis, then to explore the policy to escape poverty. As the result of the study, it shows that the working poor experienced many kinds of social dangers like unemployment, decrease of income etc. In their welfare conditions as their responses to the social dangers, the benefit of social insurance, enterprise welfare like legal retirement pay and paid leave and private welfare such as private pension and insurance are low. The working poor are faced with social dangers, moreover, they don't have skill or education for adapting themselves to information society. The study says that it needs variable policies for the working poor to escape poverty, and suggests payment & tax policies as stable income policy, occupational discipline and skill-education for promoting the quality of employment, moreover, social insurance as expansion of social welfare policy and housing & education policies whose objects are the working poor.
The purpose of this study is to examine the trend of the studies on Korean social welfare administration over a recent 10 year period. Employing both network analysis and content analysis, which are representative statistical strategies to identify research trends, we analyzed 221 articles published in the Journal of Korean Social Welfare Administration from 2005 to 2014. The major findings were as follows; First, we found two clusters -"social (welfare) service" and "social welfare organization"- in the studies of social welfare administration. In addition, more than 80% of articles are mainly related with human resource management, including job satisfaction, organizational commitment, and so forth. Second, the newly emerging academic subjects such as social enterprise and community network appeared to be done independently of traditional subjects. Third, the proportion of quantitative studies being focused on human resources was overwhelmingly high compared to the other types of studies; therefore, there are a few studies using qualitative or mixed method, evidence based practice, and discourse studies. In addition, the studies of the rural areas, which are a blind spot of the social service delivery system, and the studies about information management, financial management, marketing, organization innovation rarely appeared, despite their significance.
As we took a look at above, this researcher suggest following device to extend Korea's private security industry's area. First, it is necessary to extend private investigation law's area grafting private security together. Second, it is necessary it is necessary to think of private security's role related key figure law, corresponding terror law, Presidential Security Service Guard law. Third, as a draft of a proposed law related prevention flowing out of industry techniques among industry security related law, passed, it is necessary private security's diversity, subdivision, composition through an enterprise security, and private security industry area's grafting together. Fourth, a research about private security company's investment and professional area's bringing up as well as business's extension device should be groped for the security consulting though total system management service. Fifth, there are no big difference education course and purpose, duty about a security police man law and security law's unification, so it is necessary to drive forward actively unification through government organization's cooperation. Sixth, a paradigm shift should be occured about private security service among policeman, citizen, and private security guards. Seventh, it is considered the role of security association is important. Lastly about a matter communication between the National Police Agency, and Security Association, not only look at from an authority's angle, collecting information, corresponding ability but now it is considered to grope each other cooperation device together among organizations not only the National Police Agency but also, National Organization, National Intelligence Service, the prosecution, Presidential Security Service Guard, Army etc.
Recently public institutions' debt is growing therefore it became an important issue to the level that the government concerns about the possibility of financial burden to reduce the debt. Especially debt of public enterprises in metropolitan areas was in a serious state where debt in late 2013 was 43.2 trillion, which takes approx. 58.4% of 73.9 trillion of debt of all local public enterprises. Sound financial state of local public enterprises is important to public enterprises in metropolitan areas and it may affect seriously financial stability of local governments when public enterprises have financial problems. However, land supply business to form local industrial complexes or local demand for development of public rental housing business always exist; and vitalizing local economy and creating jobs through these businesses are very necessary to develop the areas. However, for local economic development, industirial land business and public rental housing business are needed. In this study, Gwangju Metropolitan City Corporation Ltd is used as a case study to evaluate the local public financial soundness via debt management assessment i.e.(using) the feasibility analysis in the urban development and housing development. As an improvement measure following the result of analysis, for the enhancement of financial soundness of urban innovation corporation, the government and local government shall evaluate and differentiate market demand, price competitiveness, and infrastructure of new town land development project to improve accuracy of project feasibility analysis. Another important insight is that there should be local government-centered management of liabilities of the local government and local public enterprises with the integrated liability management system to reduce the liability of the corporation and solve the issue of debts for local government. This study is significant in that it has analyzed cases from the theoretical aspect to secure financial soundness of national and local public enterprises.
Component technology has been widely accepted as an effective way for building software systems with reusable components, and Microsoft (MS) .NET is one of the recent representative component technologies. Model Driven Architecture (MDA) is a new development paradigm which generates software by transforming design models automatically and incrementally. Transformation of structural models in MDA has been successfully applied. However, transformation of dynamic models and pervasive services, such as transaction service, security service, synchronization service and object pooling are largely remains as an area for further research. The recent enterprise system has multi tier distributed architecture, and the functionality of early mentioned pervasive services is essential for this architecture. .NET platform can implement Component Object Model+ (COM+) component for supporting pervasive services by specify Attribute code. In this paper, we specify the functionalities of the COM+ component offering pervasive services, and then those functionalities are defined by UML profile. By using the profile, the Platform Specific Model (PSM) for .NET/C# is specified, and .NET components are automatically generated through our tool. The development productivity, extensibility, portability, and maintenance of software can be dramatically improved by using of the proposed methods.
Myung, Jae Kyu;Park, Min-Ju;Min, Jun-Ki;Kim, Mi Hwa
Journal of Practical Engineering Education
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v.13
no.2
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pp.333-349
/
2021
The fourth industrial revolution based on information and communication technology has increased the need for an environment where contents in new technologies can be learned for the development of lifelong vocational capabilities. To prepare for this, K University's online lifelong education center has established STEP, a smart learning platform. In this study, we conducted a study and other platform case analysis for STEP learner types, a survey of learners, and a comprehensive analysis based on these results to classify characteristics by learner types. It also intended to establish a plan to provide customized services to meet the needs of STEP learners in the future. The derived results are as follows. It is necessary to constantly manage learning content difficulty and learning motivation survey, and also needs to refine the operation of learning content in terms of learning composition. In addition, it is important to secure specialized content, to manage vulnerable learners, to actively introduce a learner support system and various educational methods.
In a customer-based industry, customer retention is the competitiveness of a company, and improving customer retention improves the competitiveness of the company. Therefore, accurate prediction and management of potential dormant customers is paramount to increasing the competitiveness of the enterprise. In particular, there are numerous competitors in the domestic card industry, and the government is introducing an automatic closing system for dormant card management. As a result of these social changes, the card industry must focus on better predicting and managing potential dormant cards, and better predicting dormant customers is emerging as an important challenge. In this study, the Recurrent Neural Network (RNN) methodology was used to predict potential dormant customers in the card industry, and in particular, Long-Short Term Memory (LSTM) was used to efficiently learn data for a long time. In addition, to redefine the variables needed to predict dormant customers in the card industry, Unified Theory of Technology (UTAUT), an integrated technology acceptance theory, was applied to redefine and group the variables used in the model. As a result, stable model accuracy and F-1 score were obtained, and Hit-Ratio proved that models using LSTM can produce stable results compared to other algorithms. It was also found that there was no moderating effect of demographic information that could occur in UTAUT, which was pointed out in previous studies. Therefore, among variable selection models using UTAUT, dormant customer prediction models using LSTM are proven to have non-biased stable results. This study revealed that there may be academic contributions to the prediction of dormant customers using LSTM algorithms that can learn well from previously untried time series data. In addition, it is a good example to show that it is possible to respond to customers who are preemptively dormant in terms of customer management because it is predicted at a time difference with the actual dormant capture, and it is expected to contribute greatly to the industry.
The Journal of the Convergence on Culture Technology
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v.10
no.3
/
pp.891-899
/
2024
The Fourth Industrial Revolution is centered on a personalized demand fulfillment economy and is all about transformation and flexible processing that can deliver what customers want in real time across space and time. This paper implements the construction and operation of a packaging platform that can instantly procure the required packaging products based on real-time orders and evaluates its performance. The components of customer satisfaction are flexible and dependent on the situation which requires efficient management of enterprise operational processes based on an e-SCM platform. An OMS optimized for these conditions plays an important role in maximizing and differentiating the efficiency of a company's operations and improving its cost advantage. OMS is a system of mass customization that provides efficient MOT(Moment of Truth) logistics services to meet the eco-friendly issues of many individual customers and achieve optimized logistics operation goals to enhance repurchase intentions and sustainable business. OMS precisely analyzes the collected data to support information and decision-making related to efficiency, productivity, cost and provide accurate reports. It uses data visualization tools to express data visually and suggests directions for improvement of the operational process through statistics and prediction analysis.
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