• Journal of Digital Convergence
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• v.13 no.3
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• pp.127-135
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• 2015

This study has become a construction company will help you establish a Management Accounting System target model to move forward. Research method was to present the basic concepts and techniques used in managing complex accounting convergence look at the whole construction industry. For the successful deployment of a construction company management accounting system Responsibility Accounting System, Target Profit, Target Cost, and requires a key technique of Performance Evaluation, which the CEO's firm determination and persistence for support, proactive communication in the field and headquarters staff, the goal organizations and institutions to support the model, the standardization is required. This study is based on case studies in the future through the Delphi Method and AHP are needed.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.213-218
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• 2013

To respond to global warming and climate change, Korean Government has implemented the GHG Target Management, which leads to a voluntary reduction in greenhouse gases from large businesses. Korean universities have put efforts on reducing GHG emissions and energy consumptions in the campuses, however, because of various activities and its characteristic of non-profit organization, establishing a long-term plan for reducing greenhouse gases is necessary. In this research, the Seoul National University's energy usage is analyzed and applicable technologies for reducing GHG emissions are extracted. Hence, three scenarios for performing the GHG Target Management are established. Proposed scenario is available for GHG Target Management and it would be expected to support decision- makings for reducing GHG emissions.

• Journal of Korean Academy of Nursing
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• v.45 no.4
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• pp.565-575
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• 2015

Purpose: The purpose of the study was to examine mission statements and their elements and to investigate correlations between mission statements and organizational performance. Methods: The current research was a descriptive study based on the examination of mission statements of 353 hospitals that posted mission statements on their webpage and 92 hospitals that made their income statements public. Results: The most common mission element was 'identification of principal services', which accounted for 92.6%. Mission statements of hospitals included the average of 4.82 mission elements out of 9, and the objective of medical quality improvement was 0.81 among 6 objectives of IOM (Institute of Medicine). Net profit of hospitals with mission statements that have above average number of mission elements were significantly higher (t=2.71, p=.008) than those of other hospitals. Net profit was significantly correlated with mission statements (r=.26, p<.001), and mission elements (r=.29, p<.001). Conclusion: The results of the study empirically reveal that mission statements in the hospital affect organizational performance. That is, better organizational performance is shown for hospitals with better, more diversified, and more firmly stated mission statements which include identification of target customers, identification of principal services, contribution to society as a non-profit organization, and concern for employees.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2022.11a
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• pp.215-216
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• 2022

Profit, the performance of an apartment development project, is directly affected by the sales ratio, unit sale price, financial costs, land costs and construction costs. However, these factors fluctuate in response to changes in the environment, including various stake holders, and the profits fluctuate as a result. In order to ensure that profits are managed within target levels, these factors must be able to be predicted, controlled and monitored and managed up to the start, sale, and end stages of the project. The purpose of this study is to develop a profit risk management model for apartment development projects. The results of this study will contribute to the establishment of academic basis for the dynamic management of project profits that fluctuate with time and environment. And in practice, it will help project developers manage their business revenue to the proper level. In addition, the risks that occur from time to time can be identified quantitatively and visually, and it is expected that it will be easier to derive consensus points for smooth business progress by reducing conflicts of interest among stakeholders.

• Journal of the Korea Society for Simulation
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• v.24 no.1
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• pp.1-8
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• 2015

This research focuses on the method of inventory management to find out the best way in various SCM. There are several comparable methods of inventory management like Min-Max, regular interval, fixed target inventory that have different lead-time and demand for each product. Also, the inventory performances between the case of three-stages and two-stages in SCM are analyzed. 8 scenarios for the simulation are suggested considering order ways and stages. Input data for the simulation is from the result of the previous studies and actual data in the market. The performance measurements are selected as sales revenue, total number of sales, total delivery cost, total inventory shortages, the number of inventory shortage occurrence, the loss for inventory shortages, average inventory, handling cost, net profit. According to the results of the simulation, fixed target inventory management is better than existing inventory management method by net profit and inventory and so on. Also, it was confirmed that the increase in profit is obtained when SCM stages is reduced from three-stages to two-stages in existing SCM. The result of the research provides significant meaning that newly introduced target inventory management system shows good performance and SCM performance can be improved by reducing the stages.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.4
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• pp.157-164
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• 2023

This paper suggests O(n²) polynomial time heuristic algorithm for corporate tax structure optimization problem that has been classified as NP-complete problem. The proposed algorithm constructs tax tree levels that the target holding company is located at root node of Level 1, and the tax code categories(T_e) 1,4,3,2 are located in each level 2,3,4,5 sequentially. To find the maximum tax-relief path from source(S) to target(T), firstly we connect the minimum witholding tax rate _minr_w(u, v) arc of node u point of view for transfer the profit from u to v node. As a result we construct the spanning tree from all of the source nodes to a target node, and find the initial feasible solution. Nextly, we find the alternate path with minimum foreign tax rate _minr_fi(u, v) of v point of view. Finally we choose the minimum tax-relief path from of this two paths. The proposed heuristic algorithm performs better optimal results than linear programming and Tabu search method that is a kind of metaheuristic method.

• Journal of Information Processing Systems
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• v.2 no.1
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• pp.23-27
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• 2006

This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many features and a target value. We classified them into positive and negative data based on the target value. We then divided the range of the feature values into 10 intervals and calculated the distribution of the intervals in each positive and negative data. Then, we selected the features and the intervals of the features for which the distributional differences are over a certain threshold. Using the selected intervals and features, we could obtain the reduced training data. In the experiments, we will show that the reduced training data can reduce the training time of the neural network by about 40%, and we can obtain more profit on simulated stock trading using the trained functions as well.

• Smart Media Journal
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• v.13 no.1
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• pp.9-17
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• 2024

This study aims to develop an integrated agricultural distribution network management system to improve the quality, profit, and decision-making efficiency of agricultural products. We adopt two key techniques: crop maturity detection based on the YOLOX target detection algorithm and market price prediction based on the Prophet model. By training the target detection model, it was possible to accurately identify crops of various maturity stages, thereby optimizing the shipment timing. At the same time, by collecting historical market price data and predicting prices using the Prophet model, we provided reliable price trend information to shipping decision makers. According to the results of the study, it was found that the performance of the model considering the holiday factor was significantly superior to that of the model that did not, proving that the effect of the holiday on the price was strong. The system provides strong tools and decision support to farmers and agricultural distribution managers, helping them make smart decisions during various seasons and holidays. In addition, it is possible to optimize the distribution network of agricultural products and improve the quality and profit of agricultural products.

• 제어로봇시스템학회:학술대회논문집
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• 2004.08a
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• pp.945-949
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• 2004

These days there are so many scheduling systems or softwares. But only few scheduling systems have succeeded in the market. In spite of powerful engine and functions, those systems have difficulties to be applied in real processes. In real processes, there are various constraints caused by physical or systematical environments of plants. Those constraints are too many to be handled in the system. This problem makes it difficult for the system to represent the details of processes. In order to resolve this problem, we have developed a specialized scheduling system for a target process. The system could be developed by the experts for target process and researchers for scheduling. In this study, a scheduling system for PVC process has been developed as an MILP (Mixed integer linear programming) model and coded in $Fortran^{TM}$. The scheduling system has been applied to two processes, which have different characteristics. Simulation results indicate that the profit of the target process can be increased by about 5% by implementing the scheduling system.

• Architectural research
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• v.8 no.1
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• pp.9-16
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• 2006

Maximizing profit is the most significant object of commercial places. Especially for some places where its atmosphere is main concern of customers like $Caf{\acute{e}}s$, interior design is crucial. Thus it needs to evaluate human emotion and preference. Human Sensibility Ergonomics which is recently signified in various fields is an attempt to quantitatively analyze factors of human sensibility and apply it to design operation. This study attempted to infuse human sensibility ergonomics into $Caf{\acute{e}}$ interior design and analyzed preferable $Caf{\acute{e}}$ interior design factors. Because most $Caf{\acute{e}}s$ have their own target customers, so we assumed four different target customer groups divided by their age and gender groups in each age group. As a result, the difference of each group could be examined. Middle-aged group and males have main interest in the intensity of luminance, i.e. the brightness, whereas youths and females attach importance to both quality of light and color. In addition, there is a tendency for middle-aged group and males to see $Caf{\acute{e}}$ as a public place while young people and females recognize $Caf{\acute{e}}$ as a place for entertainment. Taking the result of this study into consideration can lead to successful $Caf{\acute{e}}$ interior design for specific target customers.