• Title/Summary/Keyword: Decision Cost

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THE RESEARCH ON CONCEPTUAL MODEL OF LNG PLANT PROJECT PLANNING EXPERT SYSTEM

  • Moon-Sun Park;Young-Ai Kim;Seung-Wook Lee;Sung-Ryul Bae;Hyun-Wook Kang;Byoung-Jun Min;Yong-Su Kim
    • International conference on construction engineering and project management
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    • 2009.05a
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    • pp.1570-1575
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    • 2009
  • The purpose of this research is to propose the conceptual model of Scenario-based Project Planning Expert System which has not been used in domestic LNG plant industry. This research examines data on the plant project planning expert system of domestic and oversea, analyzes the components of project planning expert systems and benchmark excellent cases. The conceptual model of LNG plant project planning expert system is established through the procedure as has been noted above. The results of this research are as follows: First, this research draws out such components of LNG plant project planning expert system as feasibility, cost control, contract management and risk management. Second, this research proposes the conceptual model of LNG plant project planning expert system which core module is consist of feasibility evaluation, life cycle cost evaluation and decision making. Finally, each module of LNG plant project planning expert system would be integrated into the Scenario-based Project Planning Expert System.

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FORECASTING THE COST AND DURATION OF SCHOOL RECONSTRUCTION PROJECTS USING ARTIFICIAL NEURAL NETWORK

  • Ying-Hua Huang ;Wei Tong Chen;Shih-Chieh Chan
    • 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.

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Investment and Business Cycles: Focusing on Firms' Capital Adjustment Costs

  • NAM, CHANGWOO
    • KDI Journal of Economic Policy
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    • v.44 no.1
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    • pp.77-98
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    • 2022
  • This paper empirically verifies that the types of capital adjustment costs serve as an important mechanism in relation to investment decision-making after confirming that the investment dispersion of Korean firms is pro-cyclical and can affect business cycles. Specifically, it is found through empirical methods using corporate financial data that capital adjustment costs generally assumed to take a quadratic form in macroeconomics are asymmetric and irreversible in the Korean economy. In particular, capital adjustment costs are empirically proven to cause investment dispersion to expand given that the substitution effect of the marginal value to the marginal cost for one unit of investment in the inter-temporal investment decision is affected by that cost with regard to the resale of owned equipment assets, as opposed to new investments in equipment assets. We ultimately show, albeit indirectly, that investment dispersion can affect business cycles as capital adjustment costs influences investment decisions. What is implied is that the capital adjustment cost is not merely an exogenously deep parameter that fits the dynamics of business cycles in a macroeconomic model but could instead be a policy variable that can be endogenized through government policies.

A Study on Methodology to Assess IT Investment by ROI (IT ROI에 의한 투자 타당성 평가 방법론 연구)

  • Kim, Young-Woon;Chong, Ki-Won
    • The Journal of Society for e-Business Studies
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    • v.11 no.1
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    • pp.53-67
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    • 2006
  • It is difficult to justify an IT investment unless the investment is expected to have a direct impact on a corporation's performance under rapidly changing business environment. It is important to demonstrate the benefit of the investment through a pre-investment assessment process to induce the executive's decision. This paper presents a methodology to assess the investment by analyzing cost and benefit of the investment. This methodology shows tangible cost as well as hidden cost by analyzing total cost of ownership. The methodology also produces ROI by performing cost benefit analysis including financial and non-financial factors. This paper suggests a systematic way to support If investment decision marking process by evaluating the investment objectively.

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Life Cycle Cost Analysis for Design of Buildings based on the Lifetime Risk (생애 위험도기반 건축물의 설계단계 생애주기비용 분석 방법)

  • Baek, Byung-Hoon;Cho, Choong-Yeon
    • Korean Journal of Construction Engineering and Management
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    • v.15 no.3
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    • pp.113-119
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    • 2014
  • Recently, the demand on the practical application of life-cycle cost effectiveness for design and rehabilitation of structure is rapidly growing unprecedently in engineering practice. Accordingly, in the 21st century, it is almost obvious that life-cycle cost together with value engineering will become a new paradigm for all engineering decision problems in practice. However, in spite of impressive progress in the researches on the LCC, the most researches have only focused on the Deterministic or Probabilistic LCC analysis approach (Level-1 LCC Model) at design stage. Thus, the goal of this study is to develop a practical and realistic methodology for the Lifetime risk based Life-Cycle Cost (LCC)-effective optimum decision-making at design stage.

A Simulation Study on the Transfer Effects of Decision Rights in a Supply Chain (공급사슬에서 의사결정권한의 이전효과에 대한 시뮬레이션 연구)

  • 박병인
    • Korean Management Science Review
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    • v.19 no.2
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    • pp.221-235
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    • 2002
  • Many people are getting more and more interested in the value of information sharing in a supply chain in proportion to the development of information technology in these days. In spite of much interest in the value of shared information, the related studies concluded that the effect of only sharing information strategy between upper and lower level is not large However, many related companies want to link each channel members in the supply chain with on-line to expect to reduce the cost by means of information sharing. This study wants to evaluate the alternative strategy to reduce more related costs than only sharing information strategy. This paper analyzed that how much the total supply chain cost is to change in the case of a transfer of decision rights from the lower (retailers) to the upper level (depot, vendor) in a supply chain. The decision rights mean the rights of being able to decide when to order, how much to order, where to order, and what mode to transport or distribute, etc. in a supply chain. By the experimental simulation study to the simple case, the strategy to share only information took the low effect of 1~2%, but the strategy to transfer the decision lights from the lower to the upper member had larger effect of about 5%. However. for the strategies to work well, it needs to cooperate closely among each supply chain members, and the fruits from the transfer of decision rights in a supply chain are allocated to each chain members reasonably Therefore, there needs to study in the future not only the exact transfer effect of decision rights, but the reasonable allocation method of the fruits among the chain members.

Methodology to Estimate the Cost of Network Facilities with ABC and its Application (ABC를 활용한 통신 설비 원가 산정 방법론 및 활용 방안)

  • Yoon, Bong-Kyoo;Yang, Won-Seok
    • IE interfaces
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    • v.20 no.3
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    • pp.395-406
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    • 2007
  • In the telecommunication industry, estimation of the cost of network facilities is very important since depreciation cost of the facilities accounts for a large portion of the product cost. Moreover, cost estimation in the industry becomes more difficult because of increasing indirect cost upon digital convergence, expanding multi-purpose facilities, complexity of service product, etc. Nevertheless, not much seem to have been done in improving estimation methodology of the cost of network facilities. As a result, the quality of cost information on network facilities has deteriorated, and now even decision-makers in the industry dismiss the information. Recently, two major telecommunication companies adopted a new network cost estimation method to deal with the issue. In this paper, we study the concept of new cost estimation method and the procedure to develop and apply it. We also suggest the method to carry out the cost allocation using Matlab which is more efficient and time-saving than other commercial cost calculation packages.

A Study of Corporate Social Responsibility and Managers' Decision Making about Cost Behavior (사회적 책임활동과 원가형태에 관한 경영자의 의사결정에 관한 연구)

  • Rhee, Chang Seop;Woo, Sohee
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.209-216
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    • 2018
  • This study examines the impact of corporate social responsibility activities (CSR) on cost stickiness. The asymmetrical cost behavior in which the cost reduction rate of a company is lower than the cost increase rate of an increase in sales is called cost stickiness. In this study, we separated the companies with CSR and those without CSR, and then compared their cost behaviors. This study reports that the cost stickiness of the companies performing the CSR is stronger than the companies that did not. This means that the company needs ongoing investments to create value through the CSR, so it is difficult to reduce committed resources involved immediately when sales declines. We expect that the result of this study provides meaningful insight to participants in the capital market by presenting empirical evidence that the firms' CSR can affect the managers' costs decisions.

Economic Evaluation of IT Investments for Emergency Management : A Cost-centric Control Model

  • Kim, Tae-Ha;Lee, Young-Jai
    • Journal of Information Technology Applications and Management
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    • v.15 no.3
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    • pp.195-208
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    • 2008
  • In an emergency management case, evaluating the economic value of information technology investments is a challenging problem due to the effects of decision making, uncertainty of disasters, and difficulty of measurements. Risk assessment and recovery process, one of the major functions in emergency management, consists of (1) measurement of damages or losses, (2) recovery planning, (3) reporting and approving budgets, (4) auctioning off recovery projects to constructors, and (5) construction for the recovery. Specifically and of our interest, measurement of damages or losses is often a costly and time-consuming process because the wide range of field surveys should be performed by a limited pool of trained agents. Managers, therefore, have to balance accuracy of the field survey against the total time to complete the survey. Using information technologies to support field survey and reporting has great potential to reduce errors and lowers the cost of the process. However, existing cost benefit analysis framework may be problematic to evaluate and justify the IT investment because the cost benefit analysis often include the long-run benefit of IT that is difficult to quantify and overlook the impact of managerial control upon the investment outcomes. Therefore, we present an alternative cost-centric control model that conservatively quantifies all cost savings to replace benefits in cost benefit analysis and incorporate the managerial control. The model provides a framework to examine how managerial decision making and uncertainty of disaster affect the economic value of IT investments. The current project in Emergency Agency in South Korea is introduced as a case to apply the cost-centric control model. Our work helps managers to better evaluate and justify IT-related investment alternatives in emergency management.

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Cost-Effectiveness Analysis of Home-Based Hospice-Palliative Care for Terminal Cancer Patients

  • Kim, Ye-seul;Han, Euna;Lee, Jae-woo;Kang, Hee-Taik
    • Journal of Hospice and Palliative Care
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    • v.25 no.2
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    • pp.76-84
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    • 2022
  • Purpose: We compared cost-effectiveness parameters between inpatient and home-based hospice-palliative care services for terminal cancer patients in Korea. Methods: A decision-analytic Markov model was used to compare the cost-effectiveness of hospice-palliative care in an inpatient unit (inpatient-start group) and at home (home-start group). The model adopted a healthcare system perspective, with a 9-week horizon and a 1-week cycle length. The transition probabilities were calculated based on the reports from the Korean National Cancer Center in 2017 and Health Insurance Review & Assessment Service in 2020. Quality of life (QOL) was converted to the quality-adjusted life week (QALW). Modeling and cost-effectiveness analysis were performed with TreeAge software. The weekly medical cost was estimated to be 2,481,479 Korean won (KRW) for inpatient hospice-palliative care and 225,688 KRW for home-based hospice-palliative care. One-way sensitivity analysis was used to assess the impact of different scenarios and assumptions on the model results. Results: Compared with the inpatient-start group, the incremental cost of the home-start group was 697,657 KRW, and the incremental effectiveness based on QOL was 0.88 QALW. The incremental cost-effectiveness ratio (ICER) of the home-start group was 796,476 KRW/QALW. Based on one-way sensitivity analyses, the ICER was predicted to increase to 1,626,988 KRW/QALW if the weekly cost of home-based hospice doubled, but it was estimated to decrease to -2,898,361 KRW/QALW if death rates at home doubled. Conclusion: Home-based hospice-palliative care may be more cost-effective than inpatient hospice-palliative care. Home-based hospice appears to be affordable even if the associated medical expenditures double.