• Health Policy and Management
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• v.9 no.4
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• pp.87-119
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• 1999

The main purpose of this research is to measure and analyze how productive the health centers are and how much inputs(or outputs) in the inefficient health centers should be decreased(or increased) for efficiency. The evaluation of the performance of health centers gives a strong incentive to improve resource allocation in regional health planning. It has been, however, implemented very rarely until now. In this regard, this paper measures the performance of the health centers with a single indicator for multiple-outputs in terms of productivity(technical efficiency), based on Data Envelopment method. The 20 Kyungnam health centers which provide clinic services and specific primary health care services were analyzed. The results show that 50.0% of 20 health centers were productive with respective to overall technical efficiency, 65.0% were productive for pure technical efficiency, and 50.0% for scale efficiency. The inefficient group includes Geoje, Mahsan, Miryang, Sahchun, Tongyoung, Gosung, Nahmhae, Euryang, Hahmahn, Hahbchun health centers. The worst case was identified as Tongyoung health center which represented a 47.5% efficiency, compared with productive health centers. The empirical results for input-output analysis indicates that the low-productive health centers have excessive manpower in administration department, producing low outputs in clinical services and vaccination program. These findings imply that a systemic evaluation of the performance of the Korean health centers and the subsequent structural reform are strongly required.

• Journal of Information Technology Services
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• v.23 no.2
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• pp.31-47
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• 2024

With the spread of COVID-19, non-face-to-face social exchanges around the world have increased, leading to a rise in the demand for telework. The recent advancement in technology has facilitated the emergence of metaverse platforms, with telework utilizing the metaverse gaining significant popularity. Such metaverse telework is signaling innovative changes in the business environment, yet sufficient research has not been conducted. This study analyzed the factors affecting the perceived work productivity, job performance, and job satisfaction of metaverse telework users. To achieve this, an online survey was conducted, focusing on individual factors (self-management tactics, sense of belonging, social presence, IT complexity) and situational factors (perceived workload, organizational support, metaverse telework environment, and flexible work arrangements). Out of the total responses, 358 valid questionnaires were used for the analysis, excluding any insincere responses. The SPSS 27.0 software was employed to verify the research hypotheses. This study proposed effective strategies to enhance the efficiency of telework within the metaverse.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.639-640
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• 2015

Traditional construction planning based on historical data and heuristic adjustment can no longer incorporate all the operational details and guarantee the expected performance. The variation between the expected and the actual production leads to cost overruns or delay. Although predicting reliable productivity on construction site is getting more important, the difficulty of this increases. In this regard, this paper suggested to develop BIM-integrated simulation framework. This framework could predict productivity dynamics by considering factors affecting on construction productivity at operational phase. We developed the following processes; 1) enabling a BIM model to produce input data for simulation; 2) developing the construction operation simulation; 3) running simulation using BIM data and obtaining productivity results. The BIM-integrated simulation framework was tested with structural steel erection model because steel erection work is one of the most critical process influencing on the whole construction budget and duration. We could improve to predict more dynamic productivity from this framework, and this reliable productivity helps construction managers to optimize resource allocation, increase schedule reliability, save storage cost, and reduce material loss.

• Journal of Korean Society for Quality Management
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• v.42 no.3
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• pp.269-278
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• 2014

Purpose: The purpose of this study was to analyze the results of the productivity innovation partnership program and propose the method for improvement. We investigated 90 companies which are sub-contractors of Samsung Electronics, LG electronics, POSCO and so on. Methods: We developed and carried out a survey and analyzed the results of the program. The interviews are also performed. Results: This study shows that the partnership program is a effective method for improving quality and productivity of sub-contractors and it is necessary to extend coverage of this program. Conclusion: We suggested some improvement points of the partnership program and they are to be applied in the next year. The results show that the suggestion is helpful and valuable.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.31 no.3
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• pp.1-7
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• 2008

This paper proposes an object-oriented software development guidance and an evaluation index for the productivity related to EJB(Enterprise JavaBeans). EJB is a known successful standard model for LSDO(Large Size Distributed Object). However, there is no comparison research about the performance of EJB 2.0 and 3.0 with same identical platform. Quantitative analysis is supported as a part of LOC(Line Of Code) analysis. There is a limit to develop the updated software with no the specific evaluating index for the productivity of software. This work proposes an specific index for evaluating the productivity of new version EJB on a platform. Base on the result, the specific guidance of the developing software is obtained.

• Korean Journal of Construction Engineering and Management
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• v.6 no.5 s.27
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• pp.69-77
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• 2005

Change is inevitable and is a reality of construction projects. Most construction contracts include change clauses and allowing contractors an equitable adjustment to the contract price and duration caused by change. However, the actions of a contractor can cause a loss of productivity and furthermore can result in disruption of the whole project because of a cumulative or ripple effect. Because of its complicated nature, it becomes a complex issue to determine the cumulative impact (ripple effect) caused by single or multiple change orders. Furthermore, owners and contractors do not always agree on the adjusted contract price for the cumulative Impact of the changes. A number of studies have attempted to quantify the impact of change orders on project costs and schedule. Many of these attempted to develop regression models to quantify the loss. However, regression analysis has shortcomings in dealing with many qualitative or noisy input data. This study develops ANN models to classify and quantify the labor productivity losses that are caused by the cumulative impact of change orders. The results skew that ANN models give significantly improved performance compared to traditional statistical models.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1194-1201
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• 2022

The existing literature has witnessed the importance of productivity assessment and deducing factors affecting it. However, yet many models have shown limitations in practical applications in actual construction sites for process planning due to uncertainty and lack of data. This research presents a productivity assessment and database generation framework using simulation and compares the results with RSMeans to derive appropriate equipment combinations alternatives for earthwork operations. Data of 15 different conditions was collected from 5 different construction sites. Prediction accuracy above 90% were achieved for the simulation models with average error rate of 7.4%. The construction productivity assessment framework presented in this study is expected to be highly applicable to operation planning for earthwork operations.

• Animal Bioscience
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• v.36 no.4
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• pp.540-554
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• 2023

Heat stress is a major challenge to animal production in tropical and subtropical climates. Rabbits suffer from heat stress more than farm animals because they have few sweat glands, and their bodies are covered with thick fur. Intensive farming relies on antibiotics as antimicrobials or growth promoters to increase animals' productivity and health. However, the European Union and many countries have banned or restricted the use of antibiotics in animal feed for human health concerns. Several studies have found that replacing antibiotics in rabbit feed with natural plants or feed additives increases productivity and improves immune capacity, especially under heat stress conditions. Growth performance, immune response, gut microflora, and carcass yield may be increased in rabbits fed a diet supplemented with some natural plants and/or propolis. In this review article, we discuss and summarize the effects of some herbs and plant extracts as alternative feed additives on rabbit productivity, especially for those raised under hot ambient temperatures.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• autumn
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• pp.634-637
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• 2003

A tele-operated hume concrete pipe laying machine has been developed to solve several problems on safety, quality, productivity, etc. It is required to propose a performance evaluation model and methodology in order to measure productivity, economic feasibility, quality and safety. The primary objective of this study is to propose a model and methodology for the performance evaluation of the developed tele-operated hume concrete pipe laying machine. Furthermore, this study evaluates its performance compared with the existing hume pipe laying work by using data which obtained in field trials. It is anticipated that the proposed model and methodology might be effectively used in analyzing the performance of other automation robots.

• Korean Journal of Construction Engineering and Management
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• v.5 no.1 s.17
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• pp.157-167
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• 2004

In developing an automated construction system, it is essential to propose a performance evaluation model and methodology, which can measure productivity, quality, safety and economic feasibility in order to verify its superiority. Recently, a tele-operated hume concrete pipe laying machine has been developed to solve several problems related to safety, quality, productivity in conventional method. The primary objective of this study is to propose a model and methodology for the performance evaluation of the developed tele-operated hume concrete pipe laying machine. Furthermore, this study evaluates the automation machine's performance compared with the existing hume pipe laying work by using data which obtained in many field trials. It is anticipated that the proposed model and methodology might be effectively used in analyzing the performance of other automation robots.