• 제목/요약/키워드: cost-effective design

검색결과 1,333건 처리시간 0.026초

RAM을 고려한 도시철도시스템의 수명주기비용 분석 (Analysis of Life-Cycle Cost for Urban Transit System using RAM)

  • 한석윤;홍순기;하천수
    • 산업공학
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    • 제18권4호
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    • pp.477-484
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    • 2005
  • This paper is concerned with the life-cycle cost(LCC) of the urban transit system which was developed by KRRI and is now under test in Gyeongsan, Korea. Its reliability, availability and maintainability(RAM) were analyzed. LCC is the core part of analyzing the total cost of acquisition and ownership of a system. LCC analysis of a system is the most effective when it is applied in the it's early design phase. In this paper, we present IEC 60300-3-3(Life Cycle Costing) in detail and propose how to apply LCC in assessing the urban transit system according to RAM process. This case study demonstrates that reliability management system is very effective in reducing the operating cost of subway corporations in Korea.

사출성형제품 부형상의 지적 설계에 관한 연구 (A Study on the Development of Intelligent Supplementary Feature Designer(ISFD) in Injection Molding)

  • 강성남;허용정
    • 한국정밀공학회지
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    • 제18권8호
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    • pp.164-173
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    • 2001
  • The configuration of injection molded part can be classified into primary feature and supplementary feature. Even though supplementary features such as ribs, snap fits and bosses make mold more complicated, which cause the increasement of the mold cost, supplementary features should be attached to primary features because of assembly, reinforcement, moldability and other functional purposes. But it is not easy for novice designers to design them appropriately because of the profound knowledge related to Injection molding. In this paper, the intelligent design tool called ISFD(Intelligent Supplementary Feature Designer) which supplies easy, simple, time and cost-effective design method has been studied and developed. A knowledge-based design system is a new tool which enables the concurrent design and CIM with integrated and balanced design decisions at the initial design stage of injection molding.

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Comparing the Operation Cost of Washington Safety Rest Areas with Other States Using Performance-Based Method

  • Shrestha, Kishor;Berg, Alix;Tafazzoli, Mohammadsoroush;Kisi, Krishna
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.640-648
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    • 2022
  • In the United States, the Safety Rest Areas (SRAs) were introduced as highway roadside infrastructures in the early 1900s. The State Departments of Transportation (DOTs) operate/maintain their SRAs using different methods. The Washington DOT used the in-house workforce method for over 20 years, whereas some states moved to Performance-Based Contracting (PBC) from the in-house workforce to save cost primarily. Several existing studies claimed that using the PBC approach saved costs on several highway assets. Thus, the principal objective of this study is to compute and compare the unit operating/maintenance cost of SRAs using the in-house workforce method (in Washington state) with the PBC approach (in other states). The findings of this study show that the average annual cost using the PBC approach was much more than the average annual cost using the in-house workforce approach. The findings also show that in Washington state, the 'Labor Cost' category was a key expenditure, which is statistically higher than other categories. The 'Labor Cost' was followed by the 'Other Services', and then 'Materials and Supplies' and 'Equipment.' The study's findings indicated that outsourcing does not always save costs for agencies. The study findings may help transportation construction/maintenance professionals select a cost-effective approach for their future planning.

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딥러닝을 이용한 스마트 교육시설 공사비 분석 및 예측 - 기획·설계단계를 중심으로 - (A Study on the Analysis and Estimation of the Construction Cost by Using Deep learning in the SMART Educational Facilities - Focused on Planning and Design Stage -)

  • 정승현;권오빈;손재호
    • 교육시설 논문지
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    • 제25권6호
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    • pp.35-44
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    • 2018
  • The purpose of this study is to predict more accurate construction costs and to support efficient decision making in the planning and design stages of smart education facilities. The higher the error in the projected cost, the more risk a project manager takes. If the manager can predict a more accurate construction cost in the early stages of a project, he/she can secure a decision period and support a more rational decision. During the planning and design stages, there is a limited amount of variables that can be selected for the estimating model. Moreover, since the number of completed smart schools is limited, there is little data. In this study, various artificial intelligence models were used to accurately predict the construction cost in the planning and design phase with limited variables and lack of performance data. A theoretical study on an artificial neural network and deep learning was carried out. As the artificial neural network has frequent problems of overfitting, it is found that there is a problem in practical application. In order to overcome the problem, this study suggests that the improved models of Deep Neural Network and Deep Belief Network are more effective in making accurate predictions. Deep Neural Network (DNN) and Deep Belief Network (DBN) models were constructed for the prediction of construction cost. Average Error Rate and Root Mean Square Error (RMSE) were calculated to compare the error and accuracy of those models. This study proposes a cost prediction model that can be used practically in the planning and design stages.

Life-cycle cost optimization of steel moment-frame structures: performance-based seismic design approach

  • Kaveh, A.;Kalateh-Ahani, M.;Fahimi-Farzam, M.
    • Earthquakes and Structures
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    • 제7권3호
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    • pp.271-294
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    • 2014
  • In recent years, along with the advances made in performance-based design optimization, the need for fast calculation of response parameters in dynamic analysis procedures has become an important issue. The main problem in this field is the extremely high computational demand of time-history analyses which may convert the solution algorithm to illogical ones. Two simplifying strategies have shown to be very effective in tackling this problem; first, simplified nonlinear modeling investigating minimum level of structural modeling sophistication, second, wavelet analysis of earthquake records decreasing the number of acceleration points involved in time-history loading. In this paper, we try to develop an efficient framework, using both strategies, to solve the performance-based multi-objective optimal design problem considering the initial cost and the seismic damage cost of steel moment-frame structures. The non-dominated sorting genetic algorithm (NSGA-II) is employed as the optimization algorithm to search the Pareto optimal solutions. The constraints of the optimization problem are considered in accordance with Federal Emergency Management Agency (FEMA) recommended design specifications. The results from numerical application of the proposed framework demonstrate the capabilities of the framework in solving the present multi-objective optimization problem.

생애주기비용 최소화에 의한 점탄성감쇠기 장착 빌딩구조물의 통합최적설계 및 비용효율성 평가 (Integrated Optimum Design and Cost Effectiveness Evaluation of Viscoelastically Damped Building Structures based on Life-Cycle Cost Minimization)

  • 박관순;함대기;고현무
    • 한국지진공학회논문집
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    • 제9권2호통권42호
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    • pp.17-27
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    • 2005
  • 점탄성감쇠기가 설치된 구조물의 통합최적설계기법 및 비용효율성 평가기법을 제시하였다. 구조부재와 점탄성감쇠기의 사용량을 설계변수로 하여, 생애주기비용을 최소화하도록 최적화문제를 정식화하였으며, 유전자알고리즘을 적용하여 최적의 설계변수를 검색하였다. 수치예제에 대한 통합최적설계 수행 결과를 통해 지반운동 특성에 따른 점탄성감쇠기의 최적배치 및 각 층 강성의 최적분포 경향을 분석하였으며, 점탄성감쇠기가 설치되지 않은 구조시스템과의 생애주기비용 비교를 통하여 비용효율성을 평가하였다. 점탄성감쇠기는 특히 중약진지역에서 높은 비용효율성을 보이는 것으로 나타났다.

Cost-Effectiveness Analysis of Different Management Strategies for Detection CIN2+ of Women with Atypical Squamous Cells of Undetermined Significance (ASC-US) Pap Smear in Thailand

  • Tantitamit, Tanitra;Termrungruanglert, Wichai;Oranratanaphan, Shina;Niruthisard, Somchai;Tanbirojn, Patuou;Havanond, Piyalamporn
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권16호
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    • pp.6857-6862
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    • 2015
  • Background: To identify the optimal cost effective strategy for the management of women having ASC-US who attended at King Chulalongkorn Memorial Hospital (KMCH). Design: An Economical Analysis based on a retrospective study. Subject: The women who were referred to the gynecological department due to screening result of ASC-US at King Chulalongkorn Memorial Hospital, a general and tertiary referral center in Bangkok Thailand, from Jan 2008 - Dec 2012. Materials and Methods: A decision tree-based was constructed to evaluate the cost effectiveness of three follow up strategies in the management of ASC-US results: repeat cytology, triage with HPV testing and immediate colposcopy. Each ASC-US woman made the decision of each strategy after receiving all details about this algorithm, advantages and disadvantages of each strategy from a doctor. The model compared the incremental costs per case of high-grade cervical intraepithelial neoplasia (CIN2+) detected as measured by incremental cost-effectiveness ratio (ICER). Results: From the provider's perspective, immediate colposcopy is the least costly strategy and also the most effective option among the three follow up strategies. Compared with HPV triage, repeat cytology triage is less costly than HPV triage, whereas the latter provides a more effective option at an incremental cost-effectiveness ratio (ICER) of 56,048 Baht per additional case of CIN 2+ detected. From the patient's perspective, the least costly and least effective is repeat cytology triage. Repeat colposcopy has an incremental cost-effectiveness (ICER) of 2,500 Baht per additional case of CIN2+ detected when compared to colposcopy. From the sensitivity analysis, immediate colposcopy triage is no longer cost effective when the cost exceeds 2,250 Baht or the cost of cytology is less than 50 Baht (1USD = 31.58 THB). Conclusions: In women with ASC-US cytology, colposcopy is more cost-effective than repeat cytology or triage with HPV testing for both provider and patient perspectives.

시간동인 활동기준원가계산 기반 재가 방문간호센터 원가관리프로그램 개발 및 적용 (Development and Application of Cost Management Program for Visiting Nursing Centers Using Time-Driven Activity-Based Costing)

  • 김주행;임지영
    • 대한간호학회지
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    • 제49권5호
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    • pp.586-600
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    • 2019
  • Purpose: This study aimed to develop a web-based cost management program for visiting nursing centers (CMP-VNC), using time-driven activity-based costing (TD-ABC), and to analyze effects of the program. Methods: The CMP-VNC was developed using the combined prototyping approach and system developing life cycle method following four stages: need analysis with comprehensive literature reviews and focus group interviews, design and development of program algorithm, evaluation of the developed program validity using experts and users group, and application and effects analysis. The non-equivalent control group pretest-posttest design was used to analyze the effects of the program. The program demonstration was conducted for four weeks with 60 visiting nurses in 35 visiting centers. Results: The web-based program was developed. It has five interfaces with basic and special functions using TD-ABC, namely, input, visiting nursing activity, visiting nursing activity cost, cost efficiency, and cost calculation report. The experimental group showed significantly higher cost perception and cost confidence than control group. Conclusion: We found that the CMP-VNC can be an effective tool to increase visiting nurses' competency of costing and enhance efficiencies of visiting nursing centers.

플랜트에서 가치공학 개념을 적용한 대관경 배관두께 선정에 관한 연구 (Selection of the Large Diameter Pipe Wall Thickness by Value Engineering for a Plant)

  • 최가영;유호선;문승재
    • 플랜트 저널
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    • 제7권3호
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    • pp.65-73
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    • 2011
  • This research has suggested a method to select pipe wall thickness by application of the value engineering to reduce the cost and quantity that are major part of construction materials. This research shows that the application of value engineering reduces the cost of piping materials by optimizing pipe wall thickness while maintaining process flow date of design pressure and design temperature. Based on this knowledge, the application of the value engineering will lead to the cost reduction and quantity reduction by effective selection of pipe wall thickness. The application of the value engineering will help the EPC companies to win a contract in the overseas plant market.

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3상 유도전동기의 전산화 최적설계기법 (Computer Aided Optimum Design Technique for Three-Phase Induction Motors)

  • 김대희;이기식;황석영
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1997년도 하계학술대회 논문집 A
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    • pp.312-314
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    • 1997
  • In this paper, Computer Aided Optimum Design Technique for Three-Phase Induction Motors is proposed. In the technique, reference magnetic flux, specific electric loading factor, specific magnetic loading factor(magnetic flux density) and current density are adopted as design parameters, and minimum total cost including material cost and loss power cost is adopted as a objective function which has to satisfy output condition too. As a result of application to the existing motor, it is proved that this technique is very effective in view of gradually increasing energy costs.

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