• Journal of Information Technology Applications and Management
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• v.25 no.4
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• pp.67-77
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• 2018

With the types and targets of cyber attacks expanding and with personal information leaks increasing, the quantitative demand for information security specialists has increased. The base for training the workforce has expanded accordingly, but joblessness and job-seeking still coexist. To resolve the gap between labor demand and supply, education and training systems that can supply demand quickly are needed. It takes a considerable amount of time for information security education and new manpower supply through universities and graduate schools to be reflected in the market. However, if information security retraining is carried out in terms of career development of information security and related workforce, the problem of lack of experts could be solved in a relatively short period. This paper investigates and analyzes the information security work of the information security workforce, the degree of skill level, the need for retraining, and the workplace migration experience; it also discusses the direction of career development retraining.

• Industrial Engineering and Management Systems
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• v.14 no.2
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• pp.129-158
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• 2015

It is necessary for retailers to determine the optimal ordering policy of products considering supply disruptions due to a natural disaster and a production process failure as quality and machine breakdowns. Under the situation, a dualsourcing supply chain (DSSC) is one of effective SC for retailers to order products reliably. This paper proposes the optimal ordering policy of a product in a DSSC with a retailer and two manufacturers. Two manufacturers may face supply disruptions due to a natural disater and a production process failure after they received the retailer's order of products. Here, two scenarios of demand information of products are assumed: (i) the demand distribution is known (ii) mean and variance of the demand are known. Under above situations, two types of DSSC are discussed. Under a decentralized DSSC (DSC), a retailer determines the optimal ordering policy to maximize his/her total expected profit. Under the integrated DSSC (ISC), the optimal ordering policy is determined to maximize the whole system's total expected profit. Numerical analysis investigates how demand information and supply disruptions affect the optimal decisions under DSC and ISC. Besides, profitability of supply chain coordination adjusting the wholesale price is evaluated to encourage the optimal decision under ISC.

• Journal of Korean Library and Information Science Society
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• v.39 no.3
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• pp.161-186
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• 2008

Through the present training condition of Korean teacher librarians and their supply-demand prospects, this paper pointed out problems both of the educational system and of its supply-demand and suggested the solution as well. Particularly, focusing on the educational system of teacher librarians and the present condition of the training organizations, this paper predicted their supply ability in the future and analyzed the demand which is necessary, when applying the standards of Korean Library Association and School Library Promotional Law with the selective situation of teacher librarians. In this way, the problems of supply-demand imbalance were indicated and, as a method for training the proper number which is required for the future demand, the rearrangement of the approval number of a course of study for the teaching profession and the establishment of Library and Information education department in education college were proposed.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.2B
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• pp.228-239
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• 2004

Information Security industry in Korea is growing rapidly but is confronted with many challenges in business environment. One of the worst hardships is the mismatch in the demand and supply of manpower. Thus the government is developing a manpower policy to relieve the situation. To suggest policy implications, this study analyzes the demand and supply of Information Security manpower in the systematic and behavioral point of views. Using System Dynamics approach, we formulate a model to analyze the demand and supply of Information Security manpower. Finally we simulate the model and interpret the results.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.5C
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• pp.642-653
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• 2004

Information Security industry in Korea is growing rapidly but is confronted with many challenges in business environment. One of the worst hardships is the mismatch in the demand and supply of manpower. Thus the government is developing a manpower policy to relieve the situation. To suggest policy implications, this study analyzes the demand and supply of Information Security manpower in the systematic and behavioral point of views. Using System Dynamics approach we formulate a model to analyze the demand and supply of Information Security manpower. Finally we simulate the model and interpret the results.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.79-90
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• 2018

This study aims to provide the system to help decision making by finding key indicators used in land supply and demand surveys, and by developing storage priority areas and projects. As problems arose such as the rising cost of public projects or disruptions to business progress due to the rapid rise in land prices and the cost of compensation for public projects in the past, a new land policy was adopted and the land reserve system was established in 2009. At that time, The bank's goal was to conserve 2 trillion won of land per year, but the result was sluggish as it accumulated a total of 1.6 trillion won from 2009 to 2015. The reason for this sluggish result is that the type and quantity of indicators are still extensive and the survey of land supply and demand has a problem of poor utilization. In order to make up for the sluggishness, we made key indicators used in land supply and demand surveys using the question investigation, and analyzed the priority of the project areas. This study provide the system to help decision making by finding key indicators used in land supply and demand surveys, and the priorities of project areas.

• Journal of the Korea Safety Management & Science
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• v.8 no.5
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• pp.139-150
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• 2006

The aim of this study is to establish an efficient distribution planning for a capacitated multi-stage supply chain. We assume that the demand information during planning horizon is given a deterministic form using a certain forecasting method. Under such a condition, we present a cost effective heuristic method for minimizing chain-wide supply chain inventory cost that is the sum of holding and backorder costs by using look-ahead technique. We cope with the capacity restriction constraints through look-ahead technique that considers not only the current demand information but also future demand information. To evaluate performance of the proposed heuristic method, we compared it with the extant research that utilizes echelon stock concept, under various supply chain settings.

• Industrial Engineering and Management Systems
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• v.13 no.2
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• pp.129-147
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• 2014

This study proposes an optimal operational policy for a green supply chain (GSC) where a retailer pays an incentive for collection of used products from customers and determines the optimal order quantity of a single product under uncertainty in product demand. A manufacturer produces the optimal order quantity of product using recyclable parts with acceptable quality levels and covers a part of the retailer's incentive from the recycled parts. Here, two scenarios for the product demand are assumed as: the distribution of product demand is known, and only both mean and variance are known. This paper develops mathematical models to find how order quantity, collection incentive of used products and lower limit of quality level for recycling affect the expected profits of each member and the whole supply chain under both a decentralized GSC (DGSC) and an integrated GSC (IGSC). The analysis numerically compares the results under DGSC with those under IGSC for each scenario of product demand. Also, the effect of the quality of the recyclable parts on the optimal decisions is shown. Moreover, supply chain coordination to shift the optimal decisions of IGSC is discussed based on: I) profit ratio, II) Nash bargaining solution, and III) Combination of (I) and (II).

• 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.

• Industrial Engineering and Management Systems
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• v.13 no.3
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• pp.304-318
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• 2014

It is necessary for a retailer to improve responsiveness to uncertain customer demand in product sales. In order to solve this problem, this paper discusses an optimal operation for a 2-stage-ordering-production system consisting of a retailer and a manufacturer. First, based on the demand information estimated at first order time $t_1$, the retailer determines the optimal initial order quantity $Q^*_1$, the optimal advertising cost $a^*_1$ and the optimal retail price $p^*_1$ of a single product at $t_1$, and then the manufacturer produces $Q^*_1$. Next, the retailer updates the demand information at second order time $t_2$. If the retailer finds that $Q^*_1$ dissatisfies the demand indicated by the demand information updated at $t_2$, the retailer determines the optimal second order quantity $Q^*_2$ under $Q^*_1$ and adjusts optimally the advertising cost and the retail price to $a^*_2$ and $p^*_2$ at $t_2$. Here, decision-making approaches for two situations are made-a decentralized supply chain (DSC) whose objective is to maximize the retailer's profit and an integrated supply chain (ISC) whose objective is to maximize the whole system's profit. In the numerical analysis, the results of the optimal decisions under DSC are compared with those under ISC. In addition, supply chain coordination is discussed to adjust the unit wholesale price at each order time as Nash Bargaining solutions.