• 제목/요약/키워드: Environmental Operational Performance

검색결과 235건 처리시간 0.022초

라오스 남능강 유역 다중 저수지 시스템의 최적 수력발전 운영규정 곡선 개발 (Development of Multi-Reservoir System Operation Rule Curves for Hydropower Maximization in the Nam Ngum River Basin of Lao PDR)

  • 이현재;장웅철;이일주;이진희
    • 대한토목학회논문집
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    • 제42권6호
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    • pp.803-814
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    • 2022
  • 라오스 정부는 증가할 것으로 예상되는 전기 수요량을 충족하기 위해, 남능강 유역 내에 기존 8개소의 발전소 외에도 발전소 댐을 지속적으로 개발하고 있거나 기존 발전소의 발전 설비용량을 증설하고 있다. 이에 따라 라오스 정부는 발전소를 효율적으로 운영하기 위해 기존 저수지 운영규정 곡선(reservoir operation rule curve)을 갱신할 필요성을 제기하였다. 본 연구는 이를 위해 범용적인 동적 계획법(Dynamic Programming:DP) 프로그램인 CSUDP를 활용하여 발전소에서 생산되는 연간 발전량을 극대화하기 위해 현재의 단독 운영체계 외에 연계 운영체계도 검토하였다. 이의 결과로부터 적절한 운영규정 곡선 형태(URC/LRC, MRC)를 추출하였고, 이를 HEC-ResSim 프로그램의 저수지 운영 세트의 운영기초 자료로 입력하여 연간 발전량을 모의하였다. 모의된 연간 발전량과 기존의 운영규정 곡선, 운영실적, 그리고 현장 운영자의 의견 등을 종합하여, 대상 발전소의 연간 발전량을 최대화하는 최적의 저수지 운영규정 곡선(reservoir operation rule curve)을 개발하였다. 이 경우, 저수지를 연계하여 운영하는 체계가 저수지 단독의 운영체계보다 연계에 따른 시너지 효과로 약 2.5 %의 발전량을 더 생산하는 것으로 모의 되었다.

터널 내부 도상 블록형 흡음재의 고속철도차량 내부 소음에 미치는 영향에 대한 고찰 (Investigation into influence of sound absorption block on interior noise of high speed train in tunnel)

  • 이상헌;정철웅;이송준;김재환;손동기;심규철
    • 한국음향학회지
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    • 제37권4호
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    • pp.223-231
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    • 2018
  • 최근 여러 환경적인 요인으로 인해 기존의 자갈 도상의 터널에서 콘크리트 도상의 터널로 교체가 되고 있지만 콘크리트 도상 터널의 경우 자갈 도상의 터널 보다 소음에 악영향을 미치고 있어 부수적으로 소음에 대한 대책이 필요한 실정이다. 이러한 대책 중 하나로 흡음블록은 설치의 제약이 적고 쉽고 빠르게 설치가 가능하기 때문에 많은 철도에서 시범적으로 적용되고 있다. 하지만 실제 환경과 운영조건에서 흡음블록의 성능에 대한 검증이 필요한 실정이다. 본 논문에서는 터널 내의 흡음블록의 성능을 확인하기 위해 흡음블록의 소음저감효과의 예측뿐만 아니라 호남선의 달성터널의 일부 구간에 흡음블록 설치 전 후의 KTX 실내 소음을 측정하고 그 결과를 비교, 분석하였다. ISO 3381를 준용한 측정장비, 측정방법을 사용하여 고속철도차량 실내소음을 측정하였으며, 터널 내부 운행시간동안에 등가소음도를 계산했다. 또한 흡음블록의 주파수별 흡음특성과 객실내부 장치소음이 영향을 주는 주파수 영역의 영향을 고려하기 위하여 가청주파수 영역 전체에 대한 등가소음도 뿐만 아니라 1/3-octave band를 기초로 주파수 영역대별 영향도도 함께 분석하였다. 또한, 열차의 운행속도와 측정시의 환경조건 등을 고려하여 흡음블록의 실내소음에 대한 영향을 평가하기 위하여 달성터널 전후에 위치한 터널내부 소음 측정값을 사용하여 보정하였다. 측정 결과의 분석을 통하여 흡음블록위에서 주행 할 때 최대 6.8 dB(A) 저감량을 나타내었다. 최종적으로 열차실내소음에 대한 1/3-octave band SPLs(Sound Pressure Levels) 예측값과 실측값을 비교하여 흡음블록에 의한 소음저감 메커니즘에 대한 이해를 증진시켰다.

참여자관점에서 공급사슬관리 시스템의 성공에 영향을 미치는 요인에 관한 실증연구 (An Empirical Study on the Determinants of Supply Chain Management Systems Success from Vendor's Perspective)

  • 강성배;문태수;정윤
    • Asia pacific journal of information systems
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    • 제20권3호
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    • pp.139-166
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    • 2010
  • The supply chain management (SCM) systems have emerged as strong managerial tools for manufacturing firms in enhancing competitive strength. Despite of large investments in the SCM systems, many companies are not fully realizing the promised benefits from the systems. A review of literature on adoption, implementation and success factor of IOS (inter-organization systems), EDI (electronic data interchange) systems, shows that this issue has been examined from multiple theoretic perspectives. And many researchers have attempted to identify the factors which influence the success of system implementation. However, the existing studies have two drawbacks in revealing the determinants of systems implementation success. First, previous researches raise questions as to the appropriateness of research subjects selected. Most SCM systems are operating in the form of private industrial networks, where the participants of the systems consist of two distinct groups: focus companies and vendors. The focus companies are the primary actors in developing and operating the systems, while vendors are passive participants which are connected to the system in order to supply raw materials and parts to the focus companies. Under the circumstance, there are three ways in selecting the research subjects; focus companies only, vendors only, or two parties grouped together. It is hard to find researches that use the focus companies exclusively as the subjects probably due to the insufficient sample size for statistic analysis. Most researches have been conducted using the data collected from both groups. We argue that the SCM success factors cannot be correctly indentified in this case. The focus companies and the vendors are in different positions in many areas regarding the system implementation: firm size, managerial resources, bargaining power, organizational maturity, and etc. There are no obvious reasons to believe that the success factors of the two groups are identical. Grouping the two groups also raises questions on measuring the system success. The benefits from utilizing the systems may not be commonly distributed to the two groups. One group's benefits might be realized at the expenses of the other group considering the situation where vendors participating in SCM systems are under continuous pressures from the focus companies with respect to prices, quality, and delivery time. Therefore, by combining the system outcomes of both groups we cannot measure the system benefits obtained by each group correctly. Second, the measures of system success adopted in the previous researches have shortcoming in measuring the SCM success. User satisfaction, system utilization, and user attitudes toward the systems are most commonly used success measures in the existing studies. These measures have been developed as proxy variables in the studies of decision support systems (DSS) where the contribution of the systems to the organization performance is very difficult to measure. Unlike the DSS, the SCM systems have more specific goals, such as cost saving, inventory reduction, quality improvement, rapid time, and higher customer service. We maintain that more specific measures can be developed instead of proxy variables in order to measure the system benefits correctly. The purpose of this study is to find the determinants of SCM systems success in the perspective of vendor companies. In developing the research model, we have focused on selecting the success factors appropriate for the vendors through reviewing past researches and on developing more accurate success measures. The variables can be classified into following: technological, organizational, and environmental factors on the basis of TOE (Technology-Organization-Environment) framework. The model consists of three independent variables (competition intensity, top management support, and information system maturity), one mediating variable (collaboration), one moderating variable (government support), and a dependent variable (system success). The systems success measures have been developed to reflect the operational benefits of the SCM systems; improvement in planning and analysis capabilities, faster throughput, cost reduction, task integration, and improved product and customer service. The model has been validated using the survey data collected from 122 vendors participating in the SCM systems in Korea. To test for mediation, one should estimate the hierarchical regression analysis on the collaboration. And moderating effect analysis should estimate the moderated multiple regression, examines the effect of the government support. The result shows that information system maturity and top management support are the most important determinants of SCM system success. Supply chain technologies that standardize data formats and enhance information sharing may be adopted by supply chain leader organization because of the influence of focal company in the private industrial networks in order to streamline transactions and improve inter-organization communication. Specially, the need to develop and sustain an information system maturity will provide the focus and purpose to successfully overcome information system obstacles and resistance to innovation diffusion within the supply chain network organization. The support of top management will help focus efforts toward the realization of inter-organizational benefits and lend credibility to functional managers responsible for its implementation. The active involvement, vision, and direction of high level executives provide the impetus needed to sustain the implementation of SCM. The quality of collaboration relationships also is positively related to outcome variable. Collaboration variable is found to have a mediation effect between on influencing factors and implementation success. Higher levels of inter-organizational collaboration behaviors such as shared planning and flexibility in coordinating activities were found to be strongly linked to the vendors trust in the supply chain network. Government support moderates the effect of the IS maturity, competitive intensity, top management support on collaboration and implementation success of SCM. In general, the vendor companies face substantially greater risks in SCM implementation than the larger companies do because of severe constraints on financial and human resources and limited education on SCM systems. Besides resources, Vendors generally lack computer experience and do not have sufficient internal SCM expertise. For these reasons, government supports may establish requirements for firms doing business with the government or provide incentives to adopt, implementation SCM or practices. Government support provides significant improvements in implementation success of SCM when IS maturity, competitive intensity, top management support and collaboration are low. The environmental characteristic of competition intensity has no direct effect on vendor perspective of SCM system success. But, vendors facing above average competition intensity will have a greater need for changing technology. This suggests that companies trying to implement SCM systems should set up compatible supply chain networks and a high-quality collaboration relationship for implementation and performance.

중.저준위 방사성폐기물 처분시설에 대한 기술기준 및 안전심사 (Technical Standards and Safety Review of the Low and Intermediate Level Radioactive Waste Disposal Facility)

  • 정재학;이관희;이윤근;정찬우;노병환
    • 방사성폐기물학회지
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    • 제6권4호
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    • pp.357-368
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    • 2008
  • 국내 최초의 중 저준위 방사성폐기물 처분시설에 대한 건설 운영허가가 지난 2008년 7월 31일 발급되었다. 이 논문에서는 중 저준위 방사성폐기물 처분시설에 대한 국내 기본 규제체계, 규제요건 및 기술기준을 제시하고, 동 시설의 안전성 확인을 위해 실제 적용된 안전심사수행절차를 주요 단계별로 기술하였다. 원자력법은 부지선정, 설계, 건설, 운영, 폐쇄 및 제도적관리 등 중 저준위 방사성폐기물 처분시설의 전과정에 대한 단계별 안전규제체계를 규정하고 있으며, 하위 법령과 교육과학기술부고시 등은 관련 세부 규제요건 및 기술기준을 규정하고 있다. 한국원자력안전기술원은 원자력관계법령에 근거한 교육과학기술부의 위탁에 따라 처분시설에 대한 안전심사를 수행하였으며, 부지 및 구조안전성, 방사선환경 영향, 운영 안전성, 계통 및 설비의 안전성, 품질보증, 종합안전성평가 등 세부 기술 분야별 적합성을 종합적으로 검토하였다. 전체 안전심사 과정은 사전준비단계, 초기심사단계, 본심사단계, 완료단계 등으로 구분할 수 있으며, 한국원자력안전기술원의 심사결과는 원자력안전전문위원회 5개 전문분과의 심의를 거쳐 교육과학기술부에 보고되었고, 교육과학기술부는 원자력안전위원회의 최종 심의를 통해 처분시설에 대한 건설 운영허가를 발급하였다. 이후 처분시설의 안전성은 원자력관계법령에 규정된 일련의 규제검사 및 심사를 통해 확인될 것이며, 건설 운영자의 지속적인 안전성증진계획 이행을 통해 장기적인 안전성 증진과 안전사례에 대한 신뢰구축이 가능할 것이다.

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빅데이터 도입의도에 미치는 영향요인에 관한 연구: 전략적 가치인식과 TOE(Technology Organizational Environment) Framework을 중심으로 (An Empirical Study on the Influencing Factors for Big Data Intented Adoption: Focusing on the Strategic Value Recognition and TOE Framework)

  • 가회광;김진수
    • Asia pacific journal of information systems
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    • 제24권4호
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    • pp.443-472
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    • 2014
  • To survive in the global competitive environment, enterprise should be able to solve various problems and find the optimal solution effectively. The big-data is being perceived as a tool for solving enterprise problems effectively and improve competitiveness with its' various problem solving and advanced predictive capabilities. Due to its remarkable performance, the implementation of big data systems has been increased through many enterprises around the world. Currently the big-data is called the 'crude oil' of the 21st century and is expected to provide competitive superiority. The reason why the big data is in the limelight is because while the conventional IT technology has been falling behind much in its possibility level, the big data has gone beyond the technological possibility and has the advantage of being utilized to create new values such as business optimization and new business creation through analysis of big data. Since the big data has been introduced too hastily without considering the strategic value deduction and achievement obtained through the big data, however, there are difficulties in the strategic value deduction and data utilization that can be gained through big data. According to the survey result of 1,800 IT professionals from 18 countries world wide, the percentage of the corporation where the big data is being utilized well was only 28%, and many of them responded that they are having difficulties in strategic value deduction and operation through big data. The strategic value should be deducted and environment phases like corporate internal and external related regulations and systems should be considered in order to introduce big data, but these factors were not well being reflected. The cause of the failure turned out to be that the big data was introduced by way of the IT trend and surrounding environment, but it was introduced hastily in the situation where the introduction condition was not well arranged. The strategic value which can be obtained through big data should be clearly comprehended and systematic environment analysis is very important about applicability in order to introduce successful big data, but since the corporations are considering only partial achievements and technological phases that can be obtained through big data, the successful introduction is not being made. Previous study shows that most of big data researches are focused on big data concept, cases, and practical suggestions without empirical study. The purpose of this study is provide the theoretically and practically useful implementation framework and strategies of big data systems with conducting comprehensive literature review, finding influencing factors for successful big data systems implementation, and analysing empirical models. To do this, the elements which can affect the introduction intention of big data were deducted by reviewing the information system's successful factors, strategic value perception factors, considering factors for the information system introduction environment and big data related literature in order to comprehend the effect factors when the corporations introduce big data and structured questionnaire was developed. After that, the questionnaire and the statistical analysis were performed with the people in charge of the big data inside the corporations as objects. According to the statistical analysis, it was shown that the strategic value perception factor and the inside-industry environmental factors affected positively the introduction intention of big data. The theoretical, practical and political implications deducted from the study result is as follows. The frist theoretical implication is that this study has proposed theoretically effect factors which affect the introduction intention of big data by reviewing the strategic value perception and environmental factors and big data related precedent studies and proposed the variables and measurement items which were analyzed empirically and verified. This study has meaning in that it has measured the influence of each variable on the introduction intention by verifying the relationship between the independent variables and the dependent variables through structural equation model. Second, this study has defined the independent variable(strategic value perception, environment), dependent variable(introduction intention) and regulatory variable(type of business and corporate size) about big data introduction intention and has arranged theoretical base in studying big data related field empirically afterwards by developing measurement items which has obtained credibility and validity. Third, by verifying the strategic value perception factors and the significance about environmental factors proposed in the conventional precedent studies, this study will be able to give aid to the afterwards empirical study about effect factors on big data introduction. The operational implications are as follows. First, this study has arranged the empirical study base about big data field by investigating the cause and effect relationship about the influence of the strategic value perception factor and environmental factor on the introduction intention and proposing the measurement items which has obtained the justice, credibility and validity etc. Second, this study has proposed the study result that the strategic value perception factor affects positively the big data introduction intention and it has meaning in that the importance of the strategic value perception has been presented. Third, the study has proposed that the corporation which introduces big data should consider the big data introduction through precise analysis about industry's internal environment. Fourth, this study has proposed the point that the size and type of business of the corresponding corporation should be considered in introducing the big data by presenting the difference of the effect factors of big data introduction depending on the size and type of business of the corporation. The political implications are as follows. First, variety of utilization of big data is needed. The strategic value that big data has can be accessed in various ways in the product, service field, productivity field, decision making field etc and can be utilized in all the business fields based on that, but the parts that main domestic corporations are considering are limited to some parts of the products and service fields. Accordingly, in introducing big data, reviewing the phase about utilization in detail and design the big data system in a form which can maximize the utilization rate will be necessary. Second, the study is proposing the burden of the cost of the system introduction, difficulty in utilization in the system and lack of credibility in the supply corporations etc in the big data introduction phase by corporations. Since the world IT corporations are predominating the big data market, the big data introduction of domestic corporations can not but to be dependent on the foreign corporations. When considering that fact, that our country does not have global IT corporations even though it is world powerful IT country, the big data can be thought to be the chance to rear world level corporations. Accordingly, the government shall need to rear star corporations through active political support. Third, the corporations' internal and external professional manpower for the big data introduction and operation lacks. Big data is a system where how valuable data can be deducted utilizing data is more important than the system construction itself. For this, talent who are equipped with academic knowledge and experience in various fields like IT, statistics, strategy and management etc and manpower training should be implemented through systematic education for these talents. This study has arranged theoretical base for empirical studies about big data related fields by comprehending the main variables which affect the big data introduction intention and verifying them and is expected to be able to propose useful guidelines for the corporations and policy developers who are considering big data implementationby analyzing empirically that theoretical base.