• Title/Summary/Keyword: Project effectiveness

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A Method of Calculating Baseline Productivity by Reflecting Construction Project Data Characteristics (건설 프로젝트 데이터 특성을 반영한 기준생산성 산정 방법)

  • Kim Eunseo;Kim Junyoung;Joo Seonu;Ahn Changbum;Park Moonseo
    • Korean Journal of Construction Engineering and Management
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    • v.24 no.3
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    • pp.3-11
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    • 2023
  • This research examines the need for a quantitative and objective method of calculating baseline productivity in the construction industry, which is known for its high volatility in performance and productivity. The existing literature's baseline productivity calculation methods rely heavily on subjective criteria, limiting their effectiveness. Additionally, data collection methods such as the "Five-minute Rating" are costly and time-consuming, making it challenging to collect detailed data at construction sites. To address these issues, this study proposes an objective baseline calculation method using unimpacted productivity BP, a work check sheet to systematically record detailed data, and a data collection and utilization process that minimizes cost and time requirements. This paper also suggests using unimpacted productivity BP and comparative analysis to address the objectivity and reliability issues of existing baseline productivity calculation methods.

Trends in Research that Theory Applied to Diabetes Patients in Korea: A Scoping Review (이론을 적용한 당뇨병 환자 대상 국내 연구의 동향: 주제범위 문헌고찰)

  • Lee, Hyeryeong;Lee, Jiyeon;Shim, Sun Young
    • Journal of Korean Public Health Nursing
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    • v.37 no.1
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    • pp.80-96
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    • 2023
  • Purpose: This study examined the trends in domestic research that applied theory to diabetes patients to suggest future directions of nursing practice and research for diabetes patients. Methods: This scoping review followed the Joanna Briggs Institute guidance. The population was diabetes patients; the concept was a research that applied theory and had no limitations in context. Eligible studies were retrieved from electronic databases of RISS, KMbase, KoreaMed, NDSL, NAL, and nine major domestic nursing journals. Of the 509 retrieved articles, 20 studies met the inclusion criteria. Results: The study included the community (57.1%), and the subjects were mainly type 2 diabetes patients (42.9%). The Information-Motivation-Behavior skills (IMB) model was the most applied theory (36.4%). The theories were primarily from psychology disciplines (72.7%) and predominantly applied as a conceptual framework of the study (55%). Conclusion: The studies that applied theory were conducted mainly in the community. The IMB model was the most applied theory, and the theory was most applied as the conceptual framework. Efforts to close the theory-practice gap and further studies on developing nursing interventions based on theory and verifying their effectiveness are needed to improve nursing practice and study for diabetic patients.

Lung Cancer Screening With Low-dose Chest Computed Tomography: Experience From Radon-contaminated Regions in Kazakhstan

  • Panina, Alexandra;Kaidarova, Dilyara;Zholdybay, Zhamilya;Ainakulova, Akmaral;Amankulov, Jandos;Toleshbayev, Dias;Zhakenova, Zhanar;Khozhayev, Arman
    • Journal of Preventive Medicine and Public Health
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    • v.55 no.3
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    • pp.273-279
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    • 2022
  • Objectives: The aim of this study was to present the baseline results of a pilot project conducted to evaluate the effectiveness of lung cancer screening using low-dose chest computed tomography (CT) in regions with excessive radon levels in the Republic of Kazakhstan. Methods: In total, 3671 participants were screened by low-dose chest CT. Current, former, and never-smokers who resided in regions with elevated levels of radon in drinking water sources and indoor air, aged between 40 and 75 with no history of any cancer, and weighing less than 140 kg were included in the study. All lung nodules were categorized according to the American College of Radiology Lung Imaging Reporting and Data System (Lung-RADS 1.0). Results: Overall, 614 (16.7%) participants had positive baseline CT findings (Lung-RADS categories 3 and 4). Seventy-four cancers were detected, yielding an overall cancer detection rate of 2.0%, with 10.8% (8/74) stage I and a predominance of stage III (59.4%; 44/74). Women never-smokers and men current smokers had the highest cancer detection rates, at 2.9% (12/412) and 6.1% (12/196), respectively. Compared to never-smokers, higher odds ratios (ORs) of lung cancer detection were found in smokers (OR,2.48; 95% confidence interval [CI], 1.52 to 4.05, p<0.001) and former smokers (OR, 2.32; 95% CI, 1.06 to 5.06, p=0.003). The most common histologic type of cancer was adenocarcinoma (58.1%). Conclusions: Implementation of low-dose CT screening for lung cancer in regions with elevated radon levels is an effective method for both smokers and never-smokers.

Efficacy analysis for the AI-based Scientific Border Security System based on Radar : focusing on the results of bad weather experiments (레이더 기반 AI 과학화 경계시스템의 효과분석 : 악천후 시 실험 결과를 중심으로)

  • Hochan Lee;Kyuyong Shin;Minam Moon;Seunghyun Gwak
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.85-94
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    • 2023
  • In the face of the serious security situation with the increasing threat from North Korea, Korean Army is pursuing a reduction in troops through the performance improvement project of the GOP science-based border security system, which utilizes advanced technology. In order for the GOP science-based border security system to be an effective alternative to the decrease in military resources due to the population decline, it must guarantee a high detection and identification rate and minimize troop intervention by dramatically improving the false detection rate. Recently introduced in Korean Army, the GOP science-based border security system is known to ensure a relatively high detection and identification rate in good weather conditions, but its performance in harsh weather conditions such as rain and fog is somewhat lacking. As an alternative to overcoming this, a radar-based border security system that can detect objects even in bad weather has been proposed. This paper proves the effectiveness of the AI-based scientific border security system based on radar that is being currently tested at the 00th Division through the 2021 Rapid Acquisition Program, and suggests the direction of development for the GOP scientific border security system.

Selection of Key Management Targets for Claim Causes through Relational Analysis on the Causes of Change Order Claims

  • Min, Kwang-Ho;Ko, Gun-Ho;Jin, Chengquan;Hyun, Chang-Taek;Han, Sang-Won
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.281-290
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    • 2017
  • As various stakeholders are involved in construction projects, disputes between the parties are more likely to occur, which is a very important issue for the participants in the projects. Claims in construction projects, however, are very complex and thus difficult to manage. In particular, as the cause of a claim in the preceding stage that has not been resolved in a timely manner has an effect on the cause of a claim in the following stage, it is difficult to find a point of compromise regarding a claim caused by the relationship between the causes that occur in the preceding and following stages. In this regard, this study sought to examine the rules for the generation of change order claims, which occur most frequently among the construction claims, and thus to select the key management targets through the analysis of the relationship between the causes of claims arising in the preceding and following stages for the efficient management of claims. It is expected that the use of rules for the generation of change order claims as well as of representative and similar cases will help the construction practitioners in judging claims, considering the relationships among the causes of the claims. Meanwhile, in this study, association analysis was conducted regarding the causes of the occurrence of change order claims in a design-build delivery method, and therefore, it is necessary to verify the effectiveness of the method when applied to other delivery methods.

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Development of a Simulation Model for Housing Market Policy Considering Demand-Supply Shift between Sales and Rental Market

  • Yoon, In-Seok;Lee, Hyun-Soo;Park, Moonseo;Lee, Seulbi;Kwon, Byung-Ki
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.176-182
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    • 2017
  • The housing market is divided into several sub-markets that operate independently. One of them is the distinction between rental and sales markets. Simultaneously, since the housing is a commodity as well as an asset, it has a close relationship between the rental market and the sales market. Due to the unique structure of Korea, it is difficult to apply the general method to analyze the housing market. This means there is a great deal of concern about side effects from the policy. Actually, the government's subsequent regulation of speculative demand in the future may be necessary to prevent market overheating, but at the same time, there is a fear that the rent will rise. Although changes in policy direction may be inevitable due to changes in market conditions, frequent and sudden changes in policy cause confusion in market participants, causing unrest in the housing market. This study aims to derive main factors and correlation with other housing market factor. These factors will be a base of qualitative housing market model to analyze the market effect of the demand-supply shift. Modeling is based on the system dynamics methodology, which is useful for identifying interactions between variables reflecting various variables in the housing market. The model discussed in this study is expected to provide integrated insight into the key variables of the housing market, away from the monopolistic thinking. It can also be useful as a means of assessing the effectiveness of policies.

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Correlation Extraction from KOSHA to enable the Development of Computer Vision based Risks Recognition System

  • Khan, Numan;Kim, Youjin;Lee, Doyeop;Tran, Si Van-Tien;Park, Chansik
    • International conference on construction engineering and project management
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    • 2020.12a
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    • pp.87-95
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    • 2020
  • Generally, occupational safety and particularly construction safety is an intricate phenomenon. Industry professionals have devoted vital attention to enforcing Occupational Safety and Health (OHS) from the last three decades to enhance safety management in construction. Despite the efforts of the safety professionals and government agencies, current safety management still relies on manual inspections which are infrequent, time-consuming and prone to error. Extensive research has been carried out to deal with high fatality rates confronting by the construction industry. Sensor systems, visualization-based technologies, and tracking techniques have been deployed by researchers in the last decade. Recently in the construction industry, computer vision has attracted significant attention worldwide. However, the literature revealed the narrow scope of the computer vision technology for safety management, hence, broad scope research for safety monitoring is desired to attain a complete automatic job site monitoring. With this regard, the development of a broader scope computer vision-based risk recognition system for correlation detection between the construction entities is inevitable. For this purpose, a detailed analysis has been conducted and related rules which depict the correlations (positive and negative) between the construction entities were extracted. Deep learning supported Mask R-CNN algorithm is applied to train the model. As proof of concept, a prototype is developed based on real scenarios. The proposed approach is expected to enhance the effectiveness of safety inspection and reduce the encountered burden on safety managers. It is anticipated that this approach may enable a reduction in injuries and fatalities by implementing the exact relevant safety rules and will contribute to enhance the overall safety management and monitoring performance.

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Analysis of Organizational Performance of Employees of the Work-Learning Dual System Training Center (일학습병행 공동훈련센터 전담인력 조직성과 진단 및 분석 )

  • Tae-Seong Kim;Jun-Ki Min
    • Journal of Practical Engineering Education
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    • v.15 no.1
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    • pp.199-208
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    • 2023
  • Performance analysis for work-learning dual system has been mainly conducted from the perspective of diagnosing the effectiveness of policies at the macro level. This study aims to analyze issues in organizational management of the work-learning dual system training center by conducting an analysis focusing on the organizational performance of the work-learning dual system training center's employees. As a result of the analysis, it was confirmed that the perception and attitude of employees toward the work-learning dual training center differed depending on the type of work-learning dual system and the type of employment contract. Among the types of work-learning dual system, overall, in the case of IPP, the organizational performance of employees was low, while the apprenticeship was relatively high. As for the type of employment contract, the need for institutional improvement has been derived, especially for the project contract workers.

Analysis of the Firm Support Effects of the Innovation Procurement Policy Using Propensity Score Matching and Difference in Differences (성향점수매칭(PSM)-이중차분(DID) 결합모형을 이용한 혁신조달 정책의 기업지원 효과 분석)

  • Juwon Kim;Wonik Park
    • Journal of Technology Innovation
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    • v.31 no.3
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    • pp.201-230
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    • 2023
  • The Innovation Procurement Policy was introduced as part of the strategic public procurement policy to improve firms' innovation capabilities and enhance the public sector's ability to solve social problems by designating and purchasing so-called 'innovative products.' The pilot procurement project for innovative products was first introduced in 2019, and the policy system for designating and discovering innovative products by government departments, as well as the priority purchase system, was established in 2020. Hence, this study conducted a quantitative analysis focusing on the effectiveness of the innovation procurement system in supporting firms after it was fully implemented. For this purpose, corporate financial and employment data from 2017 to 2021 were used, and propensity score matching(PSM) and difference-in-difference(DID) methods were utilized as analytical tools. The study found that the innovation procurement system contributed to corporate growth and employment and created additional public and private sales channels. Moreover, it is necessary to enhance the innovation procurement system, such as matching innovative product-producing companies with existing SME support policies, for companies to become self-sustaining after the innovative product designation ends.

Geometry optimization of a double-layered inertial reactive armor configured with rotating discs

  • Bekzat Ajan;Dichuan Zhang;Christos Spitas;Elias Abou Fakhr;Dongming Wei
    • Advances in Computational Design
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    • v.8 no.4
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    • pp.309-325
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    • 2023
  • An innovative inertial reactive armor is being developed through a multi-discipline project. Unlike the well-known explosive or non-explosive reactive armour that uses high-energy explosives or bulging effect, the proposed inertial reactive armour uses active disc elements that is set to rotate rapidly upon impact to effectively deflect and disrupt shaped charges and kinetic energy penetrators. The effectiveness of the proposed armour highly depends on the tangential velocity of the impact point on the rotating disc. However,for a single layer armour with an array of high-speed rotating discs, the tangential velocity is relatively low near the center of the disc and is not available between the gap of the discs. Therefore, it is necessary to configure the armor with double layers to increase the tangential velocity at the point of impact. This paper explores a multi-objective geometry design optimization for the double-layered armor using Nelder-Mead optimization algorithm and integration tools of the python programming language. The optimization objectives include maximizing both average tangential velocity and high tangential velocity areas and minimizing low tangential velocity area. The design parameters include the relative position (translation and rotation) of the disc element between two armor layers. The optimized design results in a significant increase of the average tangential velocity (38%), increase of the high tangential velocity area (71.3%), and decrease of the low tangential velocity area (86.2%) as comparing to the single layer armor.