• Magazine of the Korean Society of Agricultural Engineers
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• v.40 no.2
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• pp.69-80
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• 1998

The optimal reservoir storage capacity is needed to be determined at the stage of reservoir planning. The reservoir storage capacity should be based on water balance between demand and supply, and meet the water deficity during the growing season. However, the optimal reservoir storage capacity should be determined considering benefit-cost analysis for the project. In this study, Two models are developed. The one is the RSOM(Reservoir Storage Optimization Model), that is consisted by three submodels, MROPER (Modified Reservoir OPERation model), RESICO(REservoir SIze and the construction COst computation) model. And the other is the BECA(BEnefit-Cost Anaysis) model. For model application, three districts, Chungha, Ipsil and Edong were selected. The relative difference of B/C ratio between project planning data and estimation by RSOM is 17.9, 15.0 and 7.3% respectively, which may be applicable for water resources development feasibility planning.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2004.09a
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• pp.20-24
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• 2004

The aim of this study was to analyse the cost-benefit-ratio of a soil remediation project. The target of the study was the 'Altablagerung Osnabrueck-Wueste' the largest inhabited former landfill site in Germany. The determination of benefit resulting from the soil remediation was quantified with the help of willingness-to-pay(WTP) analysis (contingent valuation method, CVM). 400 households participated in the survey. The average WTP was 6.5 Euro per household per month or 78 Euro per house-hold per year. The projected benefit generated by the remediation (consumer value) for the population in the landfill area was determined to be 0.7 million Euro per year. Factors which influence the will-ingness to pay were evaluated. The most important factors were age, garden use and the prevailing concern about personal health. A computation of the cost-benefit relationship was made on the basis of three different scenarios, which differed in terms of the projected benefits. Finally the economical efficiency of the project was determined. With a projection of 18 years and upwards the remediation of the soil is economically worthwhile.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2016.05a
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• pp.158-159
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• 2016

Construction project consists of several stages such as planning, design, construction, operation/maintain, etc. Decisions made in the planning and design stage have a significant impact on the construction and operation/maintain stages. Identifying key resources contributing to duration and cost of design alternatives is an important measure to achieve effective coordination between design and construction. This study proposes a method which finds an optimal design alternative by taking into account of resource planning, expected duration, and cost in construction stage. Base on literature review relative to the assessment of design alternatives, a method which predicts required resources, duration, and cost of the design alternative is established. Then, a method that identifies an optimal design alternative based on the preference of a certain project criteria is developed. Finally, a case study is presented.

• IE interfaces
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• v.16 no.spc
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• pp.1-6
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• 2003

This study deals with the problem of selecting 6 sigma projects. Traditionally, such selection was based on CTQ (critical to quality) or COPQ (cost of poor quality) derived within business units. Since the objective of 6 sigma is to achieve business goals in a short period, 6 sigma projects should be selected and carried out in coincidence with the whole company's strategies. This paper proposes two methods of selecting 6 sigma projects: one is to identify CTQ's by analyzing the company's BSC's (balanced score card) and then deploying them into subunits of the company and the other is to identify those projects with large hidden COPQ or cost of waste by applying value stream analysis and process model simulation to derive process cost models.

• Health Policy and Management
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• v.30 no.4
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• pp.513-521
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• 2020

Aging populations and the increasing mental health issues among them have set a new challenge for the international community, governments, and people. Given this, society's role is very important, and involving the local community in resolving the problems can play a pivotal role. The current study presented the systematic review of the financing mechanism and cost-effectiveness of the "social prescribing" (SP) project in the United Kingdom and how SP can be adapted for other settings. The data showed comparatively low running costs and the overall effectiveness of SP projects. The running cost of SP projects varied between £54,525 and £1.1 million. The cost-effectiveness of the projects reported as 12% and the return of investment was about 50% depending on the type of analysis and the activities implemented. This type of intervention can be one of the options that support solving the issues of aging populations and their accompanying mental disorders.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.1294-1299
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• 2009

Best value in value engineering has relation to cost and performance. But a severe problem in VE study of a project is to reduce value due to loss of performance, caused by focusing on cost reduction. Also a lack of understanding performance concept, no trial VE workshop as well as cost saving-based policy have not satisfied customer needs. A efficient and practical methodology for accomplishing best value in construction projects is proposed. This study developed a more objective approach for performance measurement approach of mega projects and suggested a systematic process of performance quantitative analysis verifying value improvement. The proposed performance measurement method would be very useful for better communication and consensus between stakeholders and VE team especially through value engineering.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.913-916
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• 2005

This paper presents the development of Artificial Neural Network models for forecasting the cost and contract duration of school reconstruction projects to assist the planners' decision-making in the early stage of the projects. 132 schools reconstruction projects in central Taiwan, which received the most serious damage from the Chi-Chi Earthquake, were collected. The developed Artificial Neural Network prediction models demonstrate good prediction abilities with average error rates under 10% for school reconstruction projects. The analytical results indicate that the Artificial Neural Network model with back-propagation learning is a feasible method to produce accurate prediction results to assist planners' decision-making process.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.1187-1192
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• 2005

Approximately 25% of military establishments became superannuated to unable perform their function, and it influences on the environment by construction wastes and the waste of national budget, as there is no rational and objective standard even though old facilities have been replaced through modernization project. Therefore, it has been searched to introduce industrial building system that can cope with the new building-construction and transference for the improvement of existing military establishments. However, as there is no economical estimation standard for practical use, industrial building-construction is still remaining at the initial stage, and the study is insufficient too. So. in this study, I would like to develope LCC cost model for rational LCC comparative analysis between industrial construction system (Modular) and existing reinforced concrete structure and cage, and to evaluate economical efficiency through case analysis.

• Journal of the Korea Institute of Building Construction
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• v.23 no.4
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• pp.485-496
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• 2023

Precise construction cost estimation is paramount to determining the total construction expense of a project prior to the initiation of the construction phase. Despite this, manual quantification and cost estimation methods, which continue to be widely used, may result in imprecise estimation and subsequent financial loss. Given the fast-paced and efficiency-demanding nature of the construction industry, trustworthy quantity and cost estimation is essential. To mitigate these obstacles, this research is focused on establishing an automated quantity estimation algorithm, particularly designed for the main rebar of beams which are recognized for their complicated reinforcement configurations. The exact quantity derived from the proposed algorithm is compared to the manually approximated quantity, reflecting a variance of 10.27%. As a result, significant errors and impending financial loss can be averted. The implementation of the findings from this research holds the potential to significantly assist construction firms in quickly and accurately estimating rebar quantities while adhering strictly to applicable specifications and regulatory requirements.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2021.11a
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• pp.240-241
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• 2021

For the sustainable development of the domestic construction project management field, each CM company should try to diversify in terms of service contract types and scope of work while having internationally competitive technical and service capabilities as follows. First, from the initiation of the service to the completion, the CMr should be able to establish and execute a plan to create specific outcomes. Second, CMr must have the capability to produce weekly or monthly cost, schedule, risk, and scope management reports. In addition, it should be possible to apply the cost plus sliding fee method or to systematically and continuously accumulate and process data generated during the construction process.