• 제목/요약/키워드: cost assessment model

검색결과 326건 처리시간 0.028초

G-SEED용 실내공기 오염물질 저방출 자재 선정을 위한 경제성 평가 모델 개발 (Development of an Economic Assessment Model for the Selection of Indoor Air Pollutant Low Emission Material for G-SEED)

  • 권성민;김병수
    • 대한토목학회논문집
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    • 제41권3호
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    • pp.289-296
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    • 2021
  • 국내 건설산업은 에너지와 자원의 사용 및 오염물질 배출과 같은 환경 부담을 줄이고 쾌적한 환경을 조성하기 위한 목적으로 건축물의 환경성을 평가하는 녹색건축 인증제도를 시행하고 있다. 하지만 인증획득 절차의 시간이 오래 걸리고 과정이 복잡하며 인증 항목별로 자재의 경제성을 고려할 수 없는 점으로 인해 실무에서는 인증에 어려움을 겪는 문제점이 있다. 따라서 본 연구에서는 녹색건축인증의 문제점을 해결하기 위해 녹색건축 인증제도 인증 항목 중 실내공기 오염물질 저방출 제품의 적용을 그 대상으로 하고 생애주기비용 개념을 고려하여 자재 데이터베이스를 구축하였으며 경제성 평가의 최적화 기법으로는 유전 알고리즘을 활용하여 최적의 자재를 선정할 수 있는 경제성 평가모델을 개발하였다. 이를 실제 비주거용 건축물 사례에 적용하여 기존 비용과 비교한 결과 평균 74.5 %의 비용 절감률을 나타내어 본 모델을 녹색건축인증에서 경제적 효율성이 있는 도구로써 활용 가능할 것으로 판단된다.

An Efficient Chloride Ingress Model for Long-Term Lifetime Assessment of Reinforced Concrete Structures Under Realistic Climate and Exposure Conditions

  • Nguyen, Phu Tho;Bastidas-Arteaga, Emilio;Amiri, Ouali;Soueidy, Charbel-Pierre El
    • International Journal of Concrete Structures and Materials
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    • 제11권2호
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    • pp.199-213
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    • 2017
  • Chloride penetration is among the main causes of corrosion initiation in reinforced concrete (RC) structures producing premature degradations. Weather and exposure conditions directly affect chloride ingress mechanisms and therefore the operational service life and safety of RC structures. Consequently, comprehensive chloride ingress models are useful tools to estimate corrosion initiation risks and minimize maintenance costs for RC structures placed under chloride-contaminated environments. This paper first presents a coupled thermo-hydro-chemical model for predicting chloride penetration into concrete that accounts for realistic weather conditions. This complete numerical model takes into account multiple factors affecting chloride ingress such as diffusion, convection, chloride binding, ionic interaction, and concrete aging. Since the complete model could be computationally expensive for long-term assessment, this study also proposes model simplifications in order to reduce the computational cost. Long-term chloride assessments of complete and reduced models are compared for three locations in France (Brest, Strasbourg and Nice) characterized by different weather and exposure conditions (tidal zone, de-icing salts and salt spray). The comparative study indicates that the reduced model is computationally efficient and accurate for long-term chloride ingress modeling in comparison to the complete one. Given that long-term assessment requires larger climate databases, this research also studies how climate models may affect chloride ingress assessment. The results indicate that the selection of climate models as well as the considered training periods introduce significant errors for mid- and long- term chloride ingress assessment.

A Probabilistic Fuzzy Logic Approach to Identify Productivity Factors in Indian Construction Projects

  • Princy, J. Darwin;Shanmugapriya, S.
    • Journal of Construction Engineering and Project Management
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    • 제7권3호
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    • pp.39-55
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    • 2017
  • Preeminent performance of construction industry are unattainable with poor productivity resulting in time and cost over runs. Enhancement in productivity cannot be achieved without identifying and analyzing factors that adversely affect productivity. The objective therefore is to propose a productivity analysis model to quantify the probability of effect of factors influencing productivity by using fuzzy logic incorporated with relative importance index method, for various types of construction projects. To achieve this objective, a questionnaire survey was carried out targeting respondents of Indian construction industry, from four distinct projects, namely, residential, commercial, infrastructure and industrial projects. Based on questionnaire administered, the relative importance and ranks of factors demonstrated using relative importance index method. Probability assessment model to analyze productivity was then developed by using Fuzzy Logic Toolbox of MATLAB. The applicability of the proposed model was tested in seven construction projects and the probability of impact of factors on productivity evaluated. The results of application of model in the construction firms infers that the most contributing factor groups for most of the projects were discerned to be manpower, motivation and time group.

비용 효과도 최적화 기반 양산 무기체계 환경 부하 선별 시험 설계 방법 (The Mass Production Weapon System Environmental Stress-Screening Test Design Method based on Cost-effective-Optimization)

  • 김장은
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제18권3호
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    • pp.229-239
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    • 2018
  • Purpose: There is a difficulty in Environmental Stress Screening (ESS) test design for weapon system's electrical/electronic components/products in small and medium-sized enterprises. To overcome this difficulty, I propose an easy ESS test design approach algorithm that is optimized with only one environment tolerance design information parameter (${\Delta}T$). Methods: To propose the mass production weapon system ESS test design for cost-effective optimization, I define an optimum cost-effective mathematical model ESS test algorithm model based on modified MIL-HDBK-344, MIL-HDBK-2164 and DTIC Technical Report 2477. Results: I clearly confirmed and obtained the quantitative data of ESS effectiveness and cost optimization along our ESS test design algorithm through the practical case. I will expect that proposed ESS test method is used for ESS process improvement activity and cost cutting of mass production weapon system manufacturing cost in small and medium-sized enterprises. Conclusion: In order to compare the effectiveness of the proposed algorithm, I compared the effectiveness of the existing ESS test and the proposed algorithm ESS test based on the existing weapon system circuit card assembly for signal processing. As a result of the comparison, it was confirmed that the test time was reduced from 573.0 minutes to 517.2minutes (9.74% less than existing test time).

Minimum life-cycle cost design of ice-resistant offshore platforms

  • Li, Gang;Zhang, Da-Yong;Yue, Qian-Jin
    • Structural Engineering and Mechanics
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    • 제31권1호
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    • pp.11-24
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    • 2009
  • In China, the oil and natural gas resources of Bohai Bay are mainly marginal oil fields. It is necessary to build both ice-resistant and economical offshore platforms. However, risk is involved in the design, construction, utilization, maintenance of offshore platforms as uncertain events may occur within the life-cycle of a platform under the extreme ice load. In this study, the optimum design model of the expected life-cycle cost for ice-resistant platforms based on cost-effectiveness criterion is proposed. Multiple performance demands of the structure, facilities and crew members, associated with the failure assessment criteria and evaluation functions of costs of construction, consequences of structural failure modes including damage, revenue loss, death and injury as well as discounting cost over time are considered. An efficient approximate method of the global reliability analysis for the offshore platforms is provided, which converts the implicit nonlinear performance function in the conventional reliability analysis to linear explicit one. The proposed life-cycle optimum design formula are applied to a typical ice-resistant platform in Bohai Bay, and the results demonstrate that the life-cycle cost-effective optimum design model is more rational compared to the conventional design.

광양만 환경오염 관리모델 연구의 경제적 파급효과 분석 (Economic Effects of the Management Model far Environment Pollution in Gwangyang Bay)

  • 남광현;권석재;오위영
    • 기술혁신학회지
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    • 제7권3호
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    • pp.657-679
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    • 2004
  • The purpose of this paper is to measure economic impact of marine environment conservation research development project. Benefit-Cost(B/C) analysis and Contingent Valuation Methods(CVM) are used to valuate the benefits from the research development projects. A period of three years for research development fund is considered as a part of the costs and adjusted to the net present value (NPV) of the 2002 ending period. The environmental charges for marine environment improvement are considered for the benefit measurement. The benefits are estimated by using monthly average willingness to pay, which is 2,289 Korean won. The contribution of the developing a management model for environmental pollution in the Gwangyang Bay is evaluated utilizing survey data and information. Based on the assessment by expert groups, the contribution of the model was 37.5%. The research results showed that B/C ratio is 20.61, NPV is 89,200 million Korean won, and social rate of return is 185.7%. When the level of contribution is over 1.83% at the assessment of potential influence, it is recognized to be economically feasible. This research presents a quantitative framework for Research and Development projects for marine environment conservation, and it can be applied to decision making for the investment size of R&D projects.

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Efficient Data Management for Hull Condition Assessment

  • Jaramillo, David;Cabos, Christian;Renard, Philippe
    • International Journal of CAD/CAM
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    • 제6권1호
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    • pp.9-17
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    • 2006
  • Performing inspections for Hull Condition Monitoring and Assessment as stipulated in IACS unified requirements and IMO's Condition Assessment Scheme (CAS) IMO Resolution MEPC.94(46), 2001, Condition Assessment Scheme, IMO Resolution MEPC.111(50), 2003, Amendments to regulation 13G, addition of new regulation 13H involves a huge amount of measurement data to be collected, processed, analysed and maintained. Information to be recorded consists of thickness measurements and visual assessment of coating and cracks. The amount of data and increasing requirements with respect to condition assessment demand efficient computer support. Currently, due to the lack of standardization for this kind of data, the thickness measurements are recorded manually on ship drawings or tables. In this form, handling of the measurements is tedious and error-prone and assessment is difficult. Data reporting and analysis takes a long time, leading to some repairs being performed only at the next docking of the ship or making an additional docking necessary. The recently started ED funded project CAS addresses this topic and develops-as a first step-a data model for Hull Condition Monitoring and Assessment (HCMA) based on XML-technology. The model includes simple geometry representation to facilitate a graphically supported data collection as well as an easy visualisation of the measurement results. In order to ensure compatibility with the current way of working, the content of the data model is strictly confined to the requirements of the measurement process. Appropriate data interfaces to classification software will enable rapid assessment by the classification societies, thus improving the process in terms of time and cost savings. In particular, decision-making can be done while the ship is still in the dock for maintenance.

교통사고의 심리적 비용 산정모형 개발에 관한 연구 (A Study on the Development of an Estimation Model: The Psychological Cost of Traffic Accidents)

  • 유정복;손의영
    • 대한교통학회지
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    • 제26권3호
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    • pp.211-221
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    • 2008
  • 본 논문에서는 교통사고로 인해 사고 피해자 및 그 가족이나 친지, 주변사람들이 느끼는 정신적 고통을 사회적비용으로 환산한 심리적비용에 대해 고찰하여 보았다. 선택실험방법, 직접질문법, 양분선택형방법 등 3가지 방법을 사용하여 설문설계를 하였으며 이들 설문 설계방법별로 각각의 모형을 구축하였다. 모형 구축 시에는 확률선택모형에서 가장 일반적으로 사용되는 로짓모형을 이용하였으며 직접질문법은 토빗모형을 이용하였다. 이들 모형을 검증한 결과 모형에 따라 차이는 있었으나 대부분 모형의 적합도 및 각 계수의 신뢰도가 95% 신뢰수준에서 유의한 것으로 나타났다. 심리적비용 산정모형으로 산출된 국내 도로교통사고의 심리적비용은 사상자 1인당 1,563만원으로 총 5조 1천억 원이며, 전체 교통사고비용의 37.1%를 점유하는 것으로 분석되었다.

빅데이터 역량 평가를 위한 참조모델 및 수준진단시스템 개발 (An Assessment System for Evaluating Big Data Capability Based on a Reference Model)

  • 천민경;백동현
    • 산업경영시스템학회지
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    • 제39권2호
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    • pp.54-63
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    • 2016
  • As technology has developed and cost for data processing has reduced, big data market has grown bigger. Developed countries such as the United States have constantly invested in big data industry and achieved some remarkable results like improving advertisement effects and getting patents for customer service. Every company aims to achieve long-term survival and profit maximization, but it needs to establish a good strategy, considering current industrial conditions so that it can accomplish its goal in big data industry. However, since domestic big data industry is at its initial stage, local companies lack systematic method to establish competitive strategy. Therefore, this research aims to help local companies diagnose their big data capabilities through a reference model and big data capability assessment system. Big data reference model consists of five maturity levels such as Ad hoc, Repeatable, Defined, Managed and Optimizing and five key dimensions such as Organization, Resources, Infrastructure, People, and Analytics. Big data assessment system is planned based on the reference model's key factors. In the Organization area, there are 4 key diagnosis factors, big data leadership, big data strategy, analytical culture and data governance. In Resource area, there are 3 factors, data management, data integrity and data security/privacy. In Infrastructure area, there are 2 factors, big data platform and data management technology. In People area, there are 3 factors, training, big data skills and business-IT alignment. In Analytics area, there are 2 factors, data analysis and data visualization. These reference model and assessment system would be a useful guideline for local companies.

Application of Total Quality Management in Developing Quality Assessment Model: The Case of Vietnamese Higher Education

  • NGUYEN, Quyen Le Hoang Thuy To;NGUYEN, Du Van;CHU, Ngoc Nguyen Mong;TRAN, Van Hong
    • The Journal of Asian Finance, Economics and Business
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    • 제7권11호
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    • pp.1049-1057
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    • 2020
  • The shift from elite education to mass education in Vietnam has met the demand for education for everybody as well as for quality human resource talent for an emerging nation. Under the resource constraint, understanding the quality dimensions of education and its priority level is important for effective and efficient policies. This study was carried out using both qualitative and quantitative methodologies to develop quality criteria and a ranking model. Two rounds of in-depth interviews were conducted with fifteen experts in the field, who were rectors, employers, and recruitment specialists to develop the quality framework applied in Vietnamese universities under total quality management (TQM), starting from the input of the senior secondary school leavers, through a teaching process to the output. The first round of interviews were unstructured questionnaires designed to explore the main factors in quality assessment model. The second round affirmed the experts' agreement on the assessment model. Then, fuzzy logic was applied to rank eight criteria in the quality assessment model into priority order: cost, teaching and administrative staff, leadership, curriculum, student-related factors, internationalization, admissions, and campus. The results are critical for identifying the necessary actions to enhance the education quality and to further research on the optimal quality model.