• Journal of the military operations research society of Korea
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• v.26 no.1
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• pp.70-88
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• 2000

In this research we consider a statistical model to estimate the optimal maintenance manpower of aircraft which we use at present. We design a multiple regression model, apply to three types of aircraft to estimate the optimal maintenance manpower of aircraft. This paper provides reasonable results about maintenance manpower of aircraft, and contributes accomplishment of mission for air and air support operations.

• Journal of Korean Academy of Nursing Administration
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• v.11 no.2
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• pp.209-218
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• 2005

Purpose: This study was to setup the basis on hospital and national nursing manpower estimation accurately according to apply patient classification system of Song's study to China hospital system. Method: This study was surveyed to 964 patients at surgical and medical ward on Yanbian University Hospital in China from 17th to 31th January, 2005. Results: There was study results to test hypotheses for estimating optimal nursing manpower as follows. First, a trimodel classification scheme was developed which suggested three categories of patients as minimal care(category 1), moderate care(category 2), intensive care(category 3). Second, there was not significant difference with nursing time by sex. Third, there was not significant difference with nursing time by medical wards. Fourth, there was not significant difference with average nursing care time for each category of patients. Category 1 was estimated to spend average 19.59minutes for patients, Category 2 was about 35.68 minutes, Category 3 was 72.07minutes respectively. Total nursing hours was 62,610 minutes. Conclusion: Patient classification system of Song's study is validity for optimal nursing manpower of hospital in China.

• Journal of Korean Institute of Industrial Engineers
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• v.13 no.2
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• pp.9-16
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• 1987

This paper develops an optimal manpower scheduling algorithm that gives an optimal workforce size and day-off scheduling required to satisfy following conditions. First, everyone is to have two consecutive day-off per cycle in a continuous operating environment. Second, everyone is to have at least A weekends off in a cycle of B Weeks. The model addressed is under the circumstance that the demands can vary from day to day in a weekly cycle. The proposed algorithm makes it possible to minimize the maximum workstretch and to maximize the number of weekends off. It is also possible to minimize the variance of idle manpower distribution in order that idle manpower may be utilized in case of emergency.

• Journal of Information Technology Services
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• v.17 no.4
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• pp.101-117
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• 2018

Companies are responding appropriately to the rapidly changing business environment and striving to lead those changes. As part of that, we are meeting our strategic goals through IT projects, which increase the number of simultaneous projects and the importance of project portfolio management for successful project execution. It also strives for efficient deployment of human resources that have the greatest impact on project portfolio management. In the early stages of project portfolio management, it is very important to establish a reasonable manpower plan and allocate performance personnel. This problem is a problem that can not be solved by linear programming because it is calculated through the standard deviation of the input ratio of professional manpower considering the uniformity of load allocated to the input development manpower and the importance of each project. In this study, genetic algorithm, one of the heuristic methods, was applied to solve this problem. As the objective function, we used the proper input ratio of projects, the input rate of specialist manpower for important projects, and the equal load of workload by manpower. Constraints were not able to input duplicate manpower, Was used as a condition. We also developed a program for efficient application of genetic algorithms and confirmed the execution results. In addition, the parameters of the genetic algorithm were variously changed and repeated test results were selected through the independent sample t test to select optimal parameters, and the improvement effect of about 31.2% was confirmed.

• Korea Science and Art Forum
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• v.37 no.2
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• pp.35-46
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• 2019

The purpose of this study was to develop a hybrid model forecasting the optimal number of employees for the hotel MICE and investigate indicators' reliability and validity empirically. The dominant approach of manpower planning has long been conducted based on heuristic experience in the field of Hotel and MICE. There is little research on the manpower planning and forecasting in the hotel and MICE studies. However, it is significantly important to ensure how many the optimal number of employees are calculated to meet the goals of the company as well as the expectation of their customers. A focus group interview was used to collect data through a series of surveys. A total of 289 samples were collected to test validity of finalized indicators for forecasting the optimal number of employees for the Hotel MICE. The study developed 15 quantitative indicators and 19 qualitative indicators to forecasting the optimal number of employees for the Hotel MICE, based on three types of groups such as 'service-oriented', 'stability-oriented', and 'profitability-oriented' hotel company The study revealed the econometrics formula for the practical application for this field.

• Health Policy and Management
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• v.3 no.1
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• pp.146-168
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• 1993

The study was conducted to project supply and demand of the nurses till year 2010 based on analysis of supply and demand of nurses up to year 1991. Results of the study will provide invaluable information for nurses manpower planning as well as overall health manpower planning for the 21th century. It is projected that nurses will be oversupplied based on the current prductivity which is undesirable situation if the quality of care is considered, and undersupplied based on the the medical law as well as optimal productivity. Thus, it is desirable to increase active supply of nurses. One of the ways of increasing active supply would be increasing the size of training and education. But, considering low employment rate of nurses which is about 59% better way of solving problems related to nurses shortage would be improvement in nurses' employment rate. According to simulation study done as part of this study, if nurses' employment rate goes up to 80%, there is no need for increasing the size of training to meet the demand at the level of medical law.

• Health Policy and Management
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• v.1 no.1
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• pp.136-152
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• 1991

The study was conducted to project supply and demand of the physicians from year 1991 to year 2010 based on the analysis of supply and demand of the physicians up to year 1989. Results of the study will provide information for the physicians manpower planning of the 7th 5-year Economic Social Development Planning(1992-1996) and contribute to the overall health manpower planning for the 21the century. It is projected that physician will be oversupplied from the very near future based on the current productivity or underestimated based on the optimal productivity. Thus, it is desirable not to change size of training and education during the 7the 5-year planning period and re-examine the status of the physician manpower at the end of the 7th 5-year period taking into consideration medical services utilization pattern, patients' satisfaction, and physicians' productivity.

• Management Science and Financial Engineering
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• v.3 no.1
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• pp.75-88
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• 1997

Tabu search (TS) has been successfully applied for solving many complex combinatorial optimization problems in the areas of operations research and production control. However, TS is for single-objective problems in its present form. In this article, a TS-based heuristic is developed to determine Pareto-efficient solutions to a multi-objective combinatorial optimization problem. The developed algorithm is then applied to the discrete optimal design problem in statistics to demonstrate its usefulness.

• Journal of the Korea Institute of Building Construction
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• v.3 no.1
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• pp.155-160
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• 2003

The Korean economic crisis hit badly the local construction industry, especially during the year of the 1998 when the country took the IMF bailout proframme. Under the poor business environment, such as reduction of construction investment, financial difficulty from high interest rate, and increasing bankruptcies, restructuring measures were repuired for survival of the industry. It is obvious the restructuring process is essential for the future business success. regardless of the financial crisis. With this background, this research aims the contribute to improved construction management structure and strengthened international competitiveness of the industry through the cost reduction and productivity enhancement, by analysising and proposing and optimal level of the manpower structure of construction management organization With the subject of 24 construction fields of apartment houses in the capital region as of January 1, 1999, constructed by OO company having leaded the construction industry of the country so far now, the researcher performed the on the spot survey regarding the organization/manpower structure and construction contract amount.

• International Journal of Quality Innovation
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• v.4 no.1
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• pp.131-147
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• 2003

This paper considers that a public department under specialized TQM manpower constraints have to implement multiple total quality management (TQM) policies to promote its service performance (fundamental goal) by adopting a centralized sequential advancement strategy (CSAS). Under CSAS, the decision-makers (DMs) start off by focusing specialized TQM manpower on a single policy, then transfer the specialized TQM manpower to the next policy when the first policy reaches the predetermined implementation time limit (in terms of education and training). Suppose that each TQM policy has a different desirous education and training goal. When the desirous goals for all TQM policies are achieved, we say that the fundamental goal will be satisfied. Within the limitation of total implementation period of time for all policies, assume the desirous goals for all TQM policies cannot be achieved completely. Under this premise, the optimal implementation sequence for all TQM policies must be calculated to maximize the weighted achievement of the desirous goal. We call this optimization problem a TQM case of "centralized sequential decision-making problem (CSDMP)". The achievement of the desirous goal for each TQM policy is usually affected by the experience in prior implemented policies, which makes solving CSDMP quite difficult. As a result, this paper introduces the concepts of sequential effectiveness and path effectiveness. The structural properties are then studied to propose theoretical methods for solving CSDMP. Finally, a numerical example is proposed to demonstrate CSDMP′s usability.