• 한국시스템다이내믹스연구
• /
• 제14권3호
• /
• pp.105-134
• /
• 2013

Electrical construction business has public and professional characters. It may require appropriate interventions of the government because these business activities stand for not only profit-seeking competition, but also supplies of one of the key functions in our society. In other words, public benefit and private benefit are still in existence. The government therefore considers such an aspect of public importance of the business sector and needs to plan to adjust technical and engineering manpower of this market. This study focuses on the imbalance for labor supply and demand of technical engineer in electrical construction business. A system dynamics analysis is applied to understand and simulate the imbalance as a soft approach. It has the merit of causal loop diagram to alleviate the limitation of data lack problem. We find that excess demand is expected from 2010 to 2011, and excess supply is predicted from 2012 to 2021 about the manpower of technical engineer. It shows considerable disagreement between the supply and demand of human resource. So we suggest that it is strong necessity to construct statistics infrastructure for a manpower supply and demand plan.

• 한국산림과학회지
• /
• 제106권3호
• /
• pp.340-352
• /
• 2017

제5차 산림기본계획은 2008년부터 2017년까지의 10년 단위 계획으로, 2013년에 대외환경 변화 등의 이유로 변경되었다. 본 연구에서는 산림기본계획에 대한 거시적 평가를 위해 빅데이터 분석을 활용하여 연도별 정책 수요와 공급의 간극을 파악하였다. 정책수요 부분은 당해 연도의 뉴스, SNS 등에서 언급된 사업과 관련된 키워드(명사 기준)를 기준으로 하고, 정책 공급 부문은 산림청이 발행한 문서를 기준으로 하여 비정형 데이터를 수집하였다. 수집한 자료는 사회연결망 분석(social network analysis)을 활용하여 네트워크 구조를 특정하고, 수요 측면의 네트워크와 공급 측면의 네트워크를 비교하여 산림청 정책 수요와 공급의 간극을 확인한다. 분석 결과, 공급부문의 네트워크 구조는 수요 부문보다 방사형이 약한 것으로 나타나 산림 이외에 다양한 주제어가 네트워크에서 상당한 영향력을 행사하고 있는 것으로 판단되었다. 또한 27대 대표사업들을 대응한 33개 주제어에 대해 수요부문과 공급부문의 기울기를 비교한 결과, 수요는 증가하지만 공급이 감소하는 주제어의 개수는 7개로 지속가능, 산림경영, 산림생물, 산림보호, 산림병해충, 도시숲, 북한이 해당되었다. 이들 주제어는 수요와 공급의 간극이 확인된 만큼, 제6차 기본계획에서는 이들 주제어에 대한 공급 강화가 필요하며, 자유게시판 분석을 통하여 신규 임업인에 대한 정보 제공 및 교육 강화도 포함되어야 할 것으로 나타났다.

• 농촌계획
• /
• 제24권3호
• /
• pp.63-71
• /
• 2018

The comparison of demand and supply is needed for efficient ecosystem services planning. However, the gap between them cannot be analyzed as existing studies mainly dealt with only the supply of ecosystem services. This study compares the demand and supply of ecosystem services in Shiheung using environmental complaints and urban planning by semantic network analysis. As a result, 'air' and 'water' quality are magnified in demand, 'energy' and 'water' are crucial in supply. This result presents that citizen ask for the improvement of air quality in regulation services, although local government has plans for energy support in provisioning services. Periodic ecosystem services demand and supply monitoring will be the base of effective ecosystem services planning, which reduce insufficiency and surplus.

• 노동경제논집
• /
• 제42권1호
• /
• pp.43-72
• /
• 2019

Oaxaca의 임금격차 요인분해법을 활용하여 대기업과 중소기업의 임금격차를 분해한 결과, 공급측 요인의 총임금격차는 44.2%였으며, 근속연수와 학력이 가장 크게 영향을 미쳤다. 그리고 기업의 경영실적 등 수요측 요인에 의한 기업 규모별 임금격차를 분해한 결과, 총임금격차는 44.9%였으며, 임금격차에 미치는 영향력은 노동생산성, 노조, 외주비율 순으로 컸다. 이러한 분석결과는 기업 규모별 임금격차를 해소하기 위해서는 인적자본의 차이 등 공급측 요인뿐만 아니라 기업의 경영실적과 자본구조 등 수요측 요인도 함께 고려할 필요가 있음을 시사한다.

• 한국환경복원기술학회지
• /
• 제24권2호
• /
• pp.57-69
• /
• 2021

Urban green spaces supply ecosystem services (ESs), which are consumed by city residents and generate demand, to improve air quality. It is important to determine supply and demand for ESs and reduce the gap for efficient management. This study proposed a method to use the concept of supply and demand for ESs in the decision-making process for urban planning or management. PM₁₀ concentrations were converted to weight for demand assessment on PM₁₀ reduction, and PM₁₀ absorption capacity of all green spaces including the forests, and that of urban green spaces excluding forests, was calculated for each supply assessment. The differences in the calculated supply and demand were analyzed to derive the mismatched regions in Suwon. As a result, regions with big forested areas showed sufficient supply, indicating that the degree of mismatch among administrative neighborhoods (dong) varied greatly depending on whether they had a forest. An analysis of only urban green spaces showed that all neighborhoods lacked supply. Forests with high PM₁₀ absorption capacity had a great effect, but urban green spaces can be considered a key element in reducing PM₁₀ in daily life. Considering the mismatch of supply and demand, spatial distribution, and population distribution, it is possible to prioritize the supply of urban green spaces to reduce PM₁₀ and, furthermore, support decision making for priority zones subject to forest conservation and designation and cancellation of green spaces, which gives significance to this study.

• 대한건축학회논문집:계획계
• /
• 제34권9호
• /
• pp.77-86
• /
• 2018

Demand for construction technology is expected to change due to changes in domestic and foreign construction markets and the fourth industrial revolution. In particular, demand for project management strategy and project management capability is even more increasing rather than existing production technology capability. However, the current re-education program for engineers and technicians in construction industry is not matching the need of improving capacity required to reflect the demand of construction technology from construction industry. Therefore, in this study, as a part of efforts in innovating the current global construction talent re-education system to cope with the change in the construction industry, we analyzed the difference between the demand of construction technology and the present condition of construction re-education program. In order to investigate the current status of re-education of construction, questionnaires were prepared to gather opinions from construction engineers who attended construction re-education program and also from industrial partners that are jointly doing business. This study can be an example to improve the construction re-education program as a system for substantially reinforcing the competence of engineers rather than those programs that are merely verifying and/or extending engineers' certification.

• The Journal of Asian Finance, Economics and Business
• /
• 제8권5호
• /
• pp.595-605
• /
• 2021

The objectives of this research are to see if the phenomena of "demand following" and "supply leading" exist in the business cycle, as well as to look at how liquidity and output react to changes in credit risk, investment-saving gap, inflation, exchange rate, and growth rate of real national output. Employing quarterly data of Maluku and North Maluku (2008-2019), this study utilizes VAR/VECM for inferential analysis. This research found three important findings. First, liquidity and output growth influenced each other in the long run. Second, the determinants of output growth for Maluku are liquidity, investment-saving gap, and inflation, while the determinants of liquidity are output-growth, the gap of investment-saving, and inflation. Third, the determinants of output growth for North Maluku are liquidity, credit risk, investment-saving gap, inflation, exchange rate, and the national output-growth, while the determinants of liquidity are output-growth, credit risk, investment-saving gap, inflation, exchange rate, and national output-growth. The findings of this study supported the hypothesis of demand following and supply leading theory in the Maluku and North Maluku business cycles. This study concludes that economic development would improve if supported by liquidity adequacy through increased deposit growth.

• International Journal of Advanced Culture Technology
• /
• 제6권4호
• /
• pp.303-308
• /
• 2018

Demand is increasing rapidly in recent years than supply to machine learning professionals. To alleviate this gap, user-friendly machine learning software that can be used by non-specialists has emerged, which is Machine Learning-as-a-Service(MLaaS). MLaaS provides services that enable businesses to easily leverage ML capabilities without expertise. In this paper, we will compare and analyze features, interfaces, supporting programming language, ML framework, and Machine Learning services of MLaaS, to help companies easily use ML service.

• 한국정보시스템학회지:정보시스템연구
• /
• 제30권1호
• /
• pp.151-177
• /
• 2021

Purpose This paper aims to improve management performance by effectively responding to production needs and reducing inventory through synchronizing production planning and procurement in the aviation industry. In this study, the differences in production planning and execution were first analyzed in terms of demand, supply, inventory, and process using the big data collected from a domestic aircraft manufacturers. This paper analyzed the problems in procurement and inventory management using legacy big data from ERP system in the company. Based on the analysis, we performed a simulation to derive an efficient procurement and inventory management plan. Through analysis and simulation of operational data, we were able to discover procurement and inventory policies to effectively respond to production needs. Design/methodology/approach This is an empirical study to analyze the cause of decrease in inventory turnover and increase in inventory cost due to dis-synchronize between production requirements and procurement. The actual operation data, a total of 21,306,611 transaction data which are 18 months data from January 2019 to June 2020, were extracted from the ERP system. All them are such as basic information on materials, material consumption and movement history, inventory/receipt/shipment status, and production orders. To perform data analysis, it went through three steps. At first, we identified the current states and problems of production process to grasp the situation of what happened, and secondly, analyzed the data to identify expected problems through cross-link analysis between transactions, and finally, defined what to do. Many analysis techniques such as correlation analysis, moving average analysis, and linear regression analysis were applied to predict the status of inventory. A simulation was performed to analyze the appropriate inventory level according to the control of fluctuations in the production planing. In the simulation, we tested four alternatives how to coordinate the synchronization between the procurement plan and the production plan. All the alternatives give us more plausible results than actual operation in the past. Findings Based on the big data extracted from the ERP system, the relationship between the level of delivery and the distribution of fluctuations was analyzed in terms of demand, supply, inventory, and process. As a result of analyzing the inventory turnover rate, the root cause of the inventory increase were identified. In addition, based on the data on delivery and receipt performance, it was possible to accurately analyze how much gap occurs between supply and demand, and to figure out how much this affects the inventory level. Moreover, we were able to obtain the more predictable and insightful results through simulation that organizational performance such as inventory cost and lead time can be improved by synchronizing the production planning and purchase procurement with supply and demand information. The results of big data analysis and simulation gave us more insights in production planning, procurement, and inventory management for smart manufacturing and performance improvement.

• 응용통계연구
• /
• 제27권3호
• /
• pp.387-396
• /
• 2014

GDP갭(gap)이란 잠재GDP와 실제GDP의 격차로서 산출갭(Output gap)이라고도 한다. 잠재GDP는 노동, 자본 등 생산요소를 완전히 활용하여 달성할 수 있는 최대GDP라고 정의할 수 있다. GDP갭은 수요-공급간 불균형을 의미한다고 할 수 있으며 이러한 특성 때문에 물가 및 고용안정을 추구하는 중앙은행들은 정책수행과정에서 GDP갭을 중요한 정보변수로 활용하고 있다. 본 연구에서는 우리나라의 GDP갭을 그간 선행연구에서 사용하였던 필터링 방법에 의해 분해함으로써 GDP갭 변동을 야기하는 주요 요인이 무엇인지 살펴보았다. Fox 등 (2003)와 Fox와 Zurlinden (2006)에서 사용되었던 Super Smoother 알고리즘을 이용하여 우리나라의 명목GDP갭을 분해해 본 결과 이론적인 설명에 부합하는 것으로 나타났다. 명목GDP갭률 변동의 상당부분은 잔차인 총요소생산성으로 설명됨을 알 수 있었는데, 이는 최근들어 급격한 기술변화 및 환경변화 등 생산성 변화가 GDP변동에 큰 영향을 주고 있음을 의미한다. 다른 나라의 경우와 마찬가지로 국내물가의 영향력도 높은 것으로 나타났지만 대외 의존도가 높은 우리 경제의 특성상 교역조건의 변동 역시 상대적으로 명목GDP 움직임에 큰 영향을 주고 있는 것으로 분석되었다.