• Health Policy and Management
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• v.3 no.2
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• pp.81-99
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• 1993

The purpose of this research is to assess the geographical distribution of physicians and dentists and the degree of maldistribution of the physician. Data were obtained form the Korean Medical Association's report on physicians registry and census for 1990. To assess the degree of disparity in the rural-urban distribution of physician manpower and to identify changes in the distribution pattern, the Gini index of concentration was used. Major findings are as follows; 1. Urban-rural disparity in the distribution of physician manpower exists in all categories of manpower, i.e. physician, dentist, oriental medical doctor, general practitioner, medical specialist, practitioner, public health physician and public health dentist. Urban area which had 74.4% of nation's population, accounted for over 90% of all physician manpower. 2. In terms of the ration of physician manpower per 10, 000 population, in urban area, they were 8.2 physicians, 2.7 general practitioners, 5.5 specialists, 3.0 practitioners, 1.8 dentists and 1.3 oriental medical doctors. In rural area, the ratios were 1.4 physicians, 0.6 general practitioners, 0.9 specialists, 1.0 practitioners, 0.4 dentists and 0.4 oriental medical doctors. 3. Gini indicies computed to measure inequality of physician manpower distribution were 0. 3675 for physicians, 0.3372 for general practitioners, 0.3338 for specialists, 0.2263 for practitioners, 0.3132 for dentists and 0.3293 for oriental medical doctors. 4. Inspite of increase in the number of physician manpower, urban concentration of physician manpower intensified from 1980 to 1990. However, the Gini index for all physician manpower fell by 18.3~36.7% from 1980 to 1990, indicating more even distribution. 5. In rural area, the public health physicians and dentists had increased the ratios of physicians, general practitioners, practitioners and dentists per 10, 000 population remarkebly, and had decreased the Gini indicies of physicians, general practitioners, practitioners and dentists. Thus, public health physicians and dentists contributed to improve the distribution of physician manpower in rural area. Based on the results of this study, long-term and rational manpower policies should be developed to solve the problem of geographical maldistribution of physician manpower as well as short-term policy for inducing physicians to the rural areas.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1123-1132
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• 2004

Successful project planning relies on a good estimation of the manpower required to complete a project. The good estimation can be derived from Rutnam's Rayleigh Model or Phillai et al.'s Gamma Model. These models only can be applied for the projects which the need of manpower is increased exponentially and the highest of manpower is required at the end of development phase. However, in a practical project, most manpower is required during development phase and a small amount of manpower is assigned during maintenance phase. In addition, the Waterfall Model and Unified Process only can be adopted for development phase. So the current development environments cannot be adopted into the existing manpower distribution models which the highest manpower is required at the end of development phase. This paper suggests an appropriate model for development phase to solve this problem. First, the appropriate manpower distribution for development phase of the Waterfall model was derived from Putnam's manpower distribution and then manpower distribution of development phase was derived for Unified Process. After comparing the required manpower of two Processes, total manpower distribution is similar each other even though the required manpower and task is different for each point of development phase. From this result, a unified model is derived and it can be applied for both development processes.

• Journal of Internet Computing and Services
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• v.8 no.2
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• pp.23-31
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• 2007

If the effort(manpower) and schedule are estimated, there is very difficult to allocate the manpower according to the schedule time units efficiently. Generally, the Putnam's Rayleigh Model has been applied popularly. This distribution model is expressing topology that manpower is consumed concentrically in first-half point. But actual manpower of projects are consumed concentrically at middle or second half point. Therefore, this model cannot be applied in software project planning area. This paper suggests a model to distribute manpower efficiently. Fist of all, we investigate a typical type presenting in software development field and manpower profile type of actuality development projects. Next, we suggested a method to present the model by a drawing a contour about manpower profile for the efficient manpower distribution. The proposed model shows better performance than Rayleigh and Gomma model. By applying proposed model, we will properly distribute manpower to schedule in software development planning phase, and finally we may manage project successfully.

• Journal of the Korea Computer Industry Society
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• v.5 no.1
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• pp.9-18
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• 2004

Successful project planning relies on a good estimation of the manpower required to complete a project in addition to the schedule options that may be available. Existing software manpower estimation models present the total manpower and instantaneous manpower distribution for the software life cycle. Putnam's Rayleigh and Phillai et al.'s Gamma models present a model with assumption that the manpower is needed at the system delivery. This means that 40 percent of total manpower is applied at the software development, and the other 60% is applied during maintenance phase. However Warburton observes the manpower is needed during development phase with the peak at the completion of the software design phase. So, the existing models were not appropriate to be applied to practical projects. This paper suggests the Sigmoid model which does not consider the point of manpower peak to fix the problem above. The suggested model showed some improvement when practical data was applied. Therefore, the Sigmoid model can be used as alternative of Rayleigh and Gamma model to estimate distribution of manpower during software development phas.

• Industrial Engineering and Management Systems
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• v.4 no.1
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• pp.47-53
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• 2005

The efficiency of fabrication (fab) operation is one of the key factors in order for a semiconductor manufacturing company to stay competitive. Optimization of manpower and forecasting manpower needs in a modern fab is an essential part of the future strategic planing and a very important to the operational efficiency. As the semiconductor manufacturing technology has entered the 8-inch wafer era, the complexity of fab operation increases with the increase of wafer size. The wafer handling method has evolved from manual mode in 6-inch wafer fab to semi-automated or fully automated factory in 8-inch and 12-inch wafer fab. The distribution of manpower requirement in each specialty varied as the trend of fab operation goes for downsizing manpower with automation and outsourcing maintenance work. This paper is to study the specialty distribution of manpower from the requirement in a typical 6-inch, 8-inch to 12-inch wafer fab. The human resource planning in today’s fab operation shall consider many factors, which include the stability of technical talents. This empirical study mainly focuses on the human resource planning, the manpower distribution of specialty structure and the forecast model of internal demand/supply in current semiconductor manufacturing company. Considering the market fluctuation with the demand of varied products and the advance in process technology, the study is to design a headcount forecast model based on current manpower planning for direct labour (DL) and indirect labour (IDL) in Taiwan’s fab. The model can be used to forecast the future manpower requirement on each specialty for the strategic planning of human resource to serve the development of the industry.

• Journal of Korean Society for Quality Management
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• v.41 no.1
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• pp.149-162
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• 2013

Purpose: The purpose of this study was to design of a probabilistic model for optimum manpower planning in R&D department by Montecarlo simulation. Methods: We investigate the process and the requirement of manpower planning and scheduling in R&D department. The empirical distributions of necessary time and manpower for R&D projects are developed. From the empirical distributions, we can estimate a probability distribution of optimum manpower in R&D department. A simulation method of estimating the probability distribution of optimum manpower is considered. It is a useful tool for obtaining the sum, the variance and other statistics of the distributions. Results: The real industry cases are given and the properties of the model are investigated by Montecarlo Simulation. we apply the model to the research laboratory of the global company, and investigate and compensate the weak points of the model. Conclusion: The proposed model provides various and correct information such as average, variance, percentile, minimum, maximum and so on. A decision maker of a company can easily develop the future plan and the task of researchers may be allocated properly. we expect that the productivity can be improved by this study. The results of this study can be also applied to other areas including shipbuilding, construction, and consulting areas.

• Journal of Navigation and Port Research
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• v.36 no.10
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• pp.925-931
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• 2012

The purpose of this study: firstly, investigate cognition of affiliated members about manpower distribution of the South Regional Headquarters Korea Coast Guard(SRH-KCG) and danweis. Secondly, seek ways to reasonable manpower distribution of SRH-KCG and danweis. And this study's research subjects are five coast guards(Busan coast guard, Tongyeong coast guard, Yeosu coast guard, Jeju coast guard, Seogwipo coast guard) belonged to SRH-KCG. The results of this study: firstly, 56.7% of affiliated members approved the need to organizational diagnosis. Secondly, must manpower loading in order of Busan coast guard Tongyeong coast guard Jeju coast guard. Thirdly, must manpower loading in order of maritime safety division the security division criminal investigation divition.

• Asian Journal of Innovation and Policy
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• v.12 no.1
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• pp.001-026
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• 2023

This paper dealt with the Korean manpower policy in science and technology, focusing on the contents and tools of the Special Act and its Master Plans. After briefly introducing the historical development of the Korean manpower policy from the 1960s to the present, it discussed and analyzed the Special Act and Plans from the framework of personnel development, distribution, utilization and infrastructure. Korea's science and technology manpower policy has focused on fostering and supplying manpower in line with the country's industrial growth strategy. In the early stage of industrial development during the 1960s and 1980s, government research institutes were direct and effective tools for nurturing S&T manpower. Since the 1990s, the importance of university research has increased. The government fostered graduate research manpower through the research-oriented university policy of the BK21 program. After the IMF financial crisis in 1997, the tendency of students to avoid careers in science and technology led to enacting the Special Act (2004) governing the field of S&T human resources. The Special Act has contributed to leveling up the university education system in science and engineering and sophisticated the policy to include entrepreneurship training, spin-off startups, industry-university cooperation, and offering degree programs. The Special Act and the regularly revised Master Plans have been essential tools in systematically managing the science and technology manpower policies of the Korean government.

• The Pure and Applied Mathematics
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• v.4 no.2
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• pp.105-110
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• 1997

The distribution of staff in a hierachial organization has been studied in a variety of forms and models. Results here show that the promotion process follows a binomial distribution with parameters n and $\alpha=e^{-pt}$ and the recruitment process follows a poisson distribution with parameter $\lambda$. Futhermore, the mean time to promotion in the grade was estimated.

• Journal of Preventive Medicine and Public Health
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• v.26 no.4 s.44
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• pp.661-671
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• 1993

In order to compare the geographical distribution of physician by level of medical care and specialty, a log linear model was applied to the annual registration data of the Korean Medical Association as of the end of December, 1991 which was supplemented from related institutions and adjusted with relevant sources. Those physicians in primary and secondary care institutions were not statistically significantly unevenly distributed by province-level catchment area. There were some differences in physician distribution among big cities, medium and small-sized cities, and counties; however, those physicians for primary care level were equitably distributed between cities and counties. Specialties for secondary care physicians were less evenly distributed in county areas than in city areas, and generalists are distributed more evenly in cities and counties than in big cities. There is a certain limitation due to underregistration in the annual physician registration to the Korean Medical Association; however, the geographical distribution of physicians has been improved quantitatively. It is strongly suggested that specialties and the level of medical care should be considered for further physician manpower studies.