• The Korean Journal of Franchise Management
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• v.3 no.1
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• pp.130-143
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• 2012

Franchise store retailing is taking on ever greater roles in business and commerce in China. The diverse product range, small-batch order, high frequency and time-specific requirements inherent in retail logistics make it the most complicated of all categories of logistics. In franchise store retailing, expanding business scales make trans-regional development a trend. Without a well-functioning logistic system, the standardized delivery of products would be held back, impacting trans-regional development strategy and operational costs. Therefore, the efficiency of franchise store retailing largely depends on logistical efficiency. The integrated and streamlined management of franchise stores depends in large measure on their logistical centers. As such, logistical centers constitute the key link and bears on core competitiveness in franchise store retailing. This thesis begins with an analysis of the current developments and four basic logistical models of franchise store retailing in China, proceeds to summarize developmental trends as well as focal issues and proposes an efficiency enhancing plan.

• Electronics and Telecommunications Trends
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• v.39 no.4
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• pp.32-41
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• 2024

Building energy management plays a crucial role in improving energy efficiency and optimizing energy usage. To achieve this, it is important to monitor and analyze energy-related data from buildings in real time using sensors to understand energy consumption patterns and establish optimal operational strategies. Because of the uncertainties in building energy-related data, there are challenges in analyzing these data and formulating operational strategies based on them. Artificial intelligence (AI) technology can help overcome these challenges. This paper investigates past and current research trends in AI technology and examines its future prospects for building energy management. By performing prediction and analysis based on energy consumption or supply data, the future energy demands of buildings can be forecasted and energy consumption can be optimized. Additionally, data related to the surrounding environment, occupancy, and other building energy-related factors can be collected and analyzed using sensors to establish operational strategies aimed at further reducing energy consumption and increasing efficiency. These technologies will contribute to cost savings and help minimize environmental impacts for building owners and operators, ultimately facilitating sustainable building operations.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.63 no.4
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• pp.476-483
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• 2014

This paper describes the operational analysis results of the bipolar DC distribution system coupled with the distributed generators. The energy management for AC/DC power trade and the operational principle of distributed generators and energy storages were first analyzed by computer simulation with PSCAD/EMTDC software. After then a hardware simulator for the bipolar DC distribution system was built, which is composed of the grid-tied three-level inverter, battery storage, super-capacitor storage, and the voltage balancer. Various experiments with the hardware simulator were carried out to verify the operation of bipolar DC distribution system. The developed simulator has an upper-level controller which operates in connection with the controllers for each distributed generator and the battery energy storage based on CAN communication. The developed hardware simulator are possible to use in designing the bipolar DC distribution system and analyzing its performance experimentally.

• Journal of Satellite, Information and Communications
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• v.11 no.4
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• pp.74-80
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• 2016

In this paper, the modeling and implementation results of the operational test and evaluation tool of the KASS up-link station composed of the GEO(Geostationary Earth Orbit) satellite signal analysis tool model that analyzes the GEO satellite signal and the GEO message analysis tool model that analyzes the GEO satellite navigation message. In addition, we describe the results of software modeling and implementation of some software models of GEO satellite and KASS up-link stations that can generate and provide simulated signals to operational test and evaluation tools of these KASS up-link stations.

• Nuclear Engineering and Technology
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• v.52 no.7
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• pp.1471-1480
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• 2020

This research presents a case study on the remediation of a radioactive waste (uranium: U) utilizing a multi-objective fuzzy optimization in an electrocoagulation process for the iron-stainless steel and aluminum-stainless steel anode/cathode systems. The incorporation of the cumulative uncertainty of result, operational cost and energy consumption are essential key elements in determining the feasibility of the developed model equations in satisfying specific maximum contaminant level (MCL) required by stringent environmental regulations worldwide. Pareto-optimal solutions showed that the iron system (0 ㎍/L U: 492 USD/g-U) outperformed the aluminum system (96 ㎍/L U: 747 USD/g-U) in terms of the retained uranium concentration and energy consumption. Thus, the iron system was further carried out in a multi-objective analysis due to its feasibility in satisfying various uranium standard regulatory limits. Based on the 30 ㎍/L MCL, the decision-making process via fuzzy logic showed an overall satisfaction of 6.1% at a treatment time and current density of 101.6 min and 59.9 mA/㎠, respectively. The fuzzy optimal solution reveals the following: uranium concentration - 5 ㎍/L, cumulative uncertainty - 25 ㎍/L, energy consumption - 461.7 kWh/g-U and operational cost based on electricity cost in the United States - 60.0 USD/g-U, South Korea - 55.4 USD/g-U and Finland - 78.5 USD/g-U.

• The Journal of Industrial Distribution & Business
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• v.9 no.4
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• pp.37-42
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• 2018

Purpose - The purpose of this study is to analyze the current status of various fusion research journals and the operational strategies of such journals and compare them with the operational strategies of IJIDB. Research design, data, and methodology - This study focused on the contents analysis of convergence journals after summarizing the development history from IJIDB's past and its external situation. In addition, we analyzed other strategies such as the number of publication journals, the number of publications, the academic scope, and the impact factor that other convergence journals operate on. Results - As a result of the analysis, the convergent journals showed to have several related journals, and some journals managed their impact factor well at 5.8. Also, some journals loaded 25 papers in one volume. Also, the managerial functions in IJIDB should be developed further to increase its stability. Finally, opportunities for articles by Candidates of Ph.D. and Masters degree students should be more open to in this field. Conclusions - If IJIDB finds its competitiveness in comparison with the operational strategies of other convergence journals, it will be the best journal in the Korea Citation Index to receive the most research papers and hospitality from scholars in the Korean journals.

• Journal of the Korea Institute of Military Science and Technology
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• v.14 no.3
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• pp.432-440
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• 2011

Operational Mode Summary/Mission Profile(OMS/MP) is a document to quantify the operational and maintenance requirements based on the future operational environments and its mission and How to Fight concept in the development of the weapon system. It is important as a key document for the RAM goal setting in the early phase of weapon system development. The paper presents a systematic and practical submarine OMS/MP model processes with a deep analysis of relevant case studies and current status domestic and abroad. Especially, it proposes the unique Scenario Planning and Switch on List techniques with real case studies which have recently performed. The paper will contribute not only the basis of improved requirements for the development of weapon system but also the sustainment of readiness with the enhancement of RAM and reduction of total life cycle cost.

• The Journal of Korean Society for School & Community Health Education
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• v.19 no.3
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• pp.95-108
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• 2018

Objectives: The purpose of this study was to investigate the actual conditions and operational problems of Health Promotion Model School' in high school. Methods: We conducted a content analysis of 2014 results report and staffs' responses of five high schools among 85 'Health Promotion Model Schools' led by Ministry of Education from 2012 to 2014. Results: The study examined the operational process of health promoting schools in five stages; system development, needs survey & current status survey, school health policy development, program development & execution, and evaluation. Every step was found to be inadequate. In addition, the study discovered three key factors in operating health promoting schools and examined the status of each factor; connection with the curriculum, connection with the community, and consensus among members. Three factors were also applied poorly. Compared to elementary school, high school showed a lack of all respects. Health promoting school staffs have faced difficulties in linking community resources, organizing and operating a working committee, conducting surveys and assessing health problems, preparing self-assessment or external evaluation, and developing strategies and programs. In order to solve the operational problems, active cooperation of all teachers is urgent. Conclusion: 'Health Promotion Model School' conducted in high school is not considered to have faithfully implemented WHO's concept of health promoting school. In the future, incentive policies for health promoting school teachers should be actively reviewed.

• Journal of the Korea Safety Management & Science
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• v.23 no.3
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• pp.47-55
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• 2021

Developed countries that have experienced decline in productivity due to the economic crisis in the past have come to recognize the smart factory as an important means to strengthen the competitiveness of the manufacturing industry due to the increase in labor costs, the avoidance of the manufacturing industry, and the resolution of the shortage of skilled manpower. The necessity of nurturing manpower for self-maintenance was felt through identifying factors for successful smart factory introduction by companies and providing smart factory education. Therefore, the effects of educational satisfaction and operational competency on self-efficacy as a parameter and self-efficacy as a parameter were analyzed using research models and hypotheses to determine whether there was an effect between job satisfaction as a dependent variable. As a result of the analysis, it was found that the mediating effect of self-efficacy and self-efficacy on job satisfaction was found to have significant effects on operational competency and self-efficacy as parameters, as well as educational satisfaction and operational competency. The implication of this study is that continuous education and innovation activities are important in order to increase the business performance of companies, and through this, the manufacturing competitiveness of SMEs can be improved.

• The Journal of Information Systems
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• v.31 no.2
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• pp.45-62
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• 2022

Purpose Smart farms play a leading role in changing the safety food culture for the citizens. The purpose of this study is to investigate the factors that are important to covid 19-response in the case of ICT smart farm. To do so, we classified the factors as operating effect aspect and industrial wave effect aspect of the smart farm. Design/methodology/approach This study was conducted by visiting Geumsan County, which is attempting to perform a smart farm. Through interviewing farmers representatives based on their operational effect expectations on the smart farm, we derived the industrial crash effect factors and thereafter designed the research model. This study applied AHP, which is an expert decision-making method cans be used to measure relative importance for determining priorities. After interviewing the experts with smart farm, we obtained the factors which are important to smart farm development. Findings According to analysis, the productivity improvement factor was ranked as the most important among the operational effect items. This is consistent with the ultimate goal of smart farms with ICT convergence technology, which is increase the profitability of agriculture. The second place is the factor in the development of infrastructure and infrastructure, and the third and fifth positions were export expansion, environmentally friendly management, and job creation in terms of operational effectiveness.