• Title/Summary/Keyword: Cost-effectiveness model

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Optimum Life-Cycle Cost Design of Steel Bridges (강교의 생애주기비용 최적설계)

  • Cho, Hyo-Nam;Lee, Kwang-Min;Kim, Jung-Ho;Choi, Young-Min;Bong, Youn-Jong
    • Journal of Korean Society of Steel Construction
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    • v.15 no.4 s.65
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    • pp.341-358
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    • 2003
  • This paper proposed a general formulation of Life-Cycle Cost (LCC) models and LCC effective design system models of steel bridges suitable for practical implementation. An LCC model for the optimum design of steel bridges included initial cost and direct/indirect rehabilitation costs of a steel bridge as well as repair/replacement costs, loss of contents or fatality and injury losses, road user costs, and indirect socioeconomic losses. The new road user cost model and regional socioeconomic losses model were especially considered because of the traffic network. Illustrative design examples of an actual steel box girder and an orthotropic steel deck bridge were discussed to demonstrate the LCC effectiveness of the design of steel bridges. Based on the results of the numerical investigation, the LCC-effective optimum design of steel bridges based on the proposed LCC model was found to lead to a more rational, economical, and safer design compared with the initial cost-optimum design and the conventional code-based design.

The Correlations among the Categorized Quality Cost Factors on SMEs (Small & Medium-sized Enterprises) (중소 제조기업의 품질비용 행태에 관한 실증 연구)

  • Lee, Sang-Choon;Koo, Il-Seob
    • Proceedings of the Safety Management and Science Conference
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    • 2011.04a
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    • pp.731-746
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    • 2011
  • The successful and sustainable growth of SMEs depends on their ability of strengthen their competitiveness in quality and cost and service more than anything else as a fundamental of operation. Among these key competitive factors of SMEs, quality is the most critical factor in manufacturing business fields. Because quality strongly influence cost and service performance on this manufacturing business field. There are many different ways to improve the quality performance but it needs proper management decision to choose the best way what can maximize outputs with minimum inputs. And it needs effective measurement methods and some indicators to analysis the quality performance properly. The quality cost is one of the simplest key indicators to measure the quality performance and the effectiveness of quality related management decisions. The major purpose of this study is to diagnose the categorized current level of actual quality cost of local SMEs to maximize their quality management effectiveness through comparing their level with others what's expressed in early studies. In this study, through survey on local SMEs, we found that their average annual quality cost ratio versus turnover - Total amount of annual quality cost divided by annual turnover - is around 3.69% excluded some SME's performances what have different quality control measures with others. And we found some results what corresponded with the early studies on the correlations between those categorized quality costs factors and some discrepancies between some of the literature model and the early case study results as follows. There were negative correlations between the Prevention costs and the External failure costs, and the Appraisal costs and the External failure costs, and there was positive correlation between the Appraisal costs and Internal failure costs same as early studies. But, we couldn't found any strong negative correlations between the Cost of control - Preventive costs & Appraisal costs - and the Cost of Failure of control - Internal & External failure costs -. It reveals not only the lack of effectiveness on their preventive or appraisal activities but also it can reveal there were so many effective ways to prevent the failure costs properly such as some innovative investment on Factory automation includes Error Proofing and more preventive actions to improve the effectiveness of the typical management methods likes CE (Concurrent Engineering), APQP (Advanced Product Quality Planning), FMEA (Failure Mode & Effect Analysis) etc.

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The Feasibility and Future Prospects of Robot-Assisted Surgery in Gastric Cancer: Consensus Comments from the National Evidence-based Collaborating Agency Round-Table Conference

  • Shin, Eunhee;Choi, Jieun;Seo, Seongwoo;Lee, SeonHeui
    • Health Policy and Management
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    • v.25 no.2
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    • pp.67-70
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    • 2015
  • To establish an appropriate policy for robotic surgery in Korea, the National Evidence-based Collaborating Agency (NECA) and the Korean Society of Health Policy and Administration held a round-table conference (RTC) to gather opinions through a comprehensive discussion of scientific information in gastric cancer. The NECA RTC is a public discussion forum wherein experts from diverse fields and members of the lay public conduct in-depth discussions on a selected social issue in the health and medical field. For this study, representatives from the medical field, patient groups, industry, the press, and policy makers participated in a discussion focused on the medical and scientific evidence for the use of robotic surgery in gastric cancer. According to the RTC results, robotic surgery showed more favorable results in safety and efficacy than open surgery and it is similar to laparoscopy. When the cost-effectiveness of robotic surgery and laparoscopy is compared, robotic surgery costs are higher but there was no difference between the two of them in terms of effectiveness (pain, quality of life, complications, etc.). In order to resolve the high cost issue of the robotic surgery, a proper policy should be implemented to facilitate the development of a cost-effective model of the robotic surgery equipment. The higher cost of robotic surgery require more evidence of its safety and efficacy as well as the cost-effectiveness issues of this method. Discussions on the national insurance coverage of robotic surgery seems to be necessary in the near future.

An Analysis of Safety Control Effectiveness in Construction (건설업 안전관리 효과분석에 관한 실증적 연구)

  • 갈원모;손기상;채준석
    • Journal of the Korean Society of Safety
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    • v.11 no.1
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    • pp.121-128
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    • 1996
  • Estimating the cost of injuries and "accidents" to an organization is very important to figure out about how much well each organization has run his company and how much efficiently he has got the results using a certain amount of the expense for safety. Despite the potential usefulness to management of information as to the cost of a company's "accidents", it is not customary accounting practice to make these data available. Of the two general kinds of costs forced on a company by its occupational injuries and "accidents", the insurance cost and uninsured cost, -the former is by far the easier to find out. But actually, this uninsured cost should be figured out at each company. Authors have designed the generalized model to figure out the above problem costs to establish its efficient safety control. One construction company has been a pilot for this study. It is found that efficient safety control cost should be 1.2%~l.3% of total selling amount by analyzing actual data for three years.g actual data for three years.

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Economical Efficiency Evaluation of the Cold Storage Warehouse with Various Envelope Structures (냉동냉장창고 외피구조 유형별 경제성 평가)

  • 송승영;석호태;황혜주;안홍섭
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.13 no.11
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    • pp.1156-1164
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    • 2001
  • This study aims to suggest envelope structure which can improve the insulation performance of cold storage warehouse with cost effectiveness. Envelope structures are classified and economical efficiency of each type is evaluated to the model warehouse. As results, type 3 (PC wall) and 4(sandwich panel wall) have benefits to the middle/large (lifetime of 25 years) and small (lifetime of 12∼13 years) warehouse, respectively.

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A Study on the Evaluation of Economic Value of the Gulf of Mexico Recreational Red Grouper Fishery (여행비용모형 분석을 통한 유어(遊漁)활동의 경제적 가치 추정 -미국 멕시코만 Red Grouper 유어부문을 대상으로 -)

  • Kim, Do-Hoon
    • The Journal of Fisheries Business Administration
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    • v.36 no.2 s.68
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    • pp.121-134
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    • 2005
  • In order to evaluate the effectiveness of management measures and to provide policy suggestions for the allocation of total allowable catch between recreational and commercial sectors, the economic value of red grouper recreational fishery in the United States Gulf of Mexico was estimated using a Travel Cost Method(TCM), Due to the characteristic of count data, a Poisson model(PM) and a Negative binomial model(NBM) were used in the TCM. Results of models showed that the NBM was statistically more suitable than the PM since the overdispersion problem occurred in the PM. Results also indicated all signs of the estimated parameters were as expected and were significant, except for a Boat parameter in both models. Based on the results of NBM, the total economic value of the recreational red grouper fishery was estimated to be $\$698.6$ and the value per trip was $\$179.5$. In addition, the total changes in expected consumer surplus due to changes in catch rates was $ \$42.3$.

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사례기반추론을 이용한 다이렉트 마케팅의 고객반응예측모형의 통합

  • Hong, Taeho;Park, Jiyoung
    • The Journal of Information Systems
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    • v.18 no.3
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    • pp.375-399
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    • 2009
  • In this study, we propose a integrated model of logistic regression, artificial neural networks, support vector machines(SVM), with case-based reasoning(CBR). To predict respondents in the direct marketing is the binary classification problem as like bankruptcy prediction, IDS, churn management and so on. To solve the binary problems, we employed logistic regression, artificial neural networks, SVM. and CBR. CBR is a problem-solving technique and shows significant promise for improving the effectiveness of complex and unstructured decision making, and we can obtain excellent results through CBR in this study. Experimental results show that the classification accuracy of integration model using CBR is superior to logistic regression, artificial neural networks and SVM. When we apply the customer response model to predict respondents in the direct marketing, we have to consider from the view point of profit/cost about the misclassification.

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Control system modeling of stock management for civil infrastructure

  • Abe, Masato
    • Smart Structures and Systems
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    • v.15 no.3
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    • pp.609-625
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    • 2015
  • Management of infrastructure stock is essential in sustainability of society, and its analysis and optimization are studied in the light of control system modeling in this paper. At the first part of the paper, cost of stock management is analyzed based on macroscopic statistics on infrastructure stock and economical growth. Stock management burden relative to economy is observed to become larger at low economic growth periods in developed economies. Then, control system modeling of stock management is introduced and by augmenting maintenance actions as control input, dynamic behavior of stock is simulated and compared with existing time history statistics. Assuming steady state conditions, applicability of the model to cross sectional data is also demonstrated. The proposed model is enhanced so that both preventive and corrective maintenance can be included as system inputs, i.e., feedforward and feedback control inputs. Optimal management strategy to achieve specified deteriorated stock level with minimal cost, expressed in terms of preventive and corrective maintenance actions, is derived based on estimated parameter values for corrosion of steel bridges. Relative cost effectiveness of preventive maintenance is shown when target deteriorated stock level is lower.

Adaptive Algorithms for Bayesian Spectrum Sensing Based on Markov Model

  • Peng, Shengliang;Gao, Renyang;Zheng, Weibin;Lei, Kejun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.7
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    • pp.3095-3111
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    • 2018
  • Spectrum sensing (SS) is one of the fundamental tasks for cognitive radio. In SS, decisions can be made via comparing the test statistics with a threshold. Conventional adaptive algorithms for SS usually adjust their thresholds according to the radio environment. This paper concentrates on the issue of adaptive SS whose threshold is adjusted based on the Markovian behavior of primary user (PU). Moreover, Bayesian cost is adopted as the performance metric to achieve a trade-off between false alarm and missed detection probabilities. Two novel adaptive algorithms, including Markov Bayesian energy detection (MBED) algorithm and IMBED (improved MBED) algorithm, are proposed. Both algorithms model the behavior of PU as a two-state Markov process, with which their thresholds are adaptively adjusted according to the detection results at previous slots. Compared with the existing Bayesian energy detection (BED) algorithm, MBED algorithm can achieve lower Bayesian cost, especially in high signal-to-noise ratio (SNR) regime. Furthermore, it has the advantage of low computational complexity. IMBED algorithm is proposed to alleviate the side effects of detection errors at previous slots. It can reduce Bayesian cost more significantly and in a wider SNR region. Simulation results are provided to illustrate the effectiveness and efficiencies of both algorithms.

An ANP-Based Performance Model for ERP System's Implementation

  • Ko, Je-Suk;Park, Soon-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.401-409
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    • 2007
  • This paper addresses a performance evaluation model for ERP system's implementation using Analytic Network Process (ANP) technique. In this study, the performance variables are identified as the perspectives of cost, business process, systems operation, and change management, respectively. The empirical study also investigated factors that affect the performance variables to find out the causal relationship between them using the ANP approach. The data for the empirical analysis were collected from manufacturing companies that have implemented ERP systems. The research findings indicate the proposed model is powerful in proposing that the indirect relationship between influencing factors and managerial effectiveness, mediated by employee satisfaction, is an important one.

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