• International conference on construction engineering and project management
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• 2011.02a
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• pp.256-261
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• 2011

Labor productivity is a significant factor related to control time, cost, and quality. Many researchers have developed models to define method of measuring the relationship between productivity and various constraints such as the size of working area, maximum working hours, and the crew composition. Most of the previous research has focused on estimating productivity; however, this research concentrates on estimating labor productivity and developing time and cost data for repetitive concrete pouring activity. In Korea, "Standard Estimating" only contains the average productivity data of the construction industry, and it is difficult to predict the time and cost of any particular project; hence, there are some errors in estimating duration and cost for individual activity and project. To address these issues, this research collects data, measures productivity, and develops time and cost data using labor productivity based on field conditions from the collected data. A probabilistic approach is also proposed to develop data. A case study is performed to validate this process using actual data collected from construction sites and it is possible that the result will be used as the EVMS baseline of cost management and schedule management.

• Journal of Construction Engineering and Project Management
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• v.1 no.1
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• pp.37-43
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• 2011

Labor productivity is a significant factor associated with controlling time, cost, and quality. Many researchers have developed models to define methods of measuring the relationship between productivity and various parameters such as the size of working area, maximum working hours, and the crew composition. Most of the previous research has focused on estimating productivity; however, this research concentrates on estimating labor productivity and developing time and cost data for repetitive concrete pouring activity. In Korea, "Standard Estimating" only entails the average productivity data of the construction industry, and it is difficult to predict the time and cost spent on any particular project. As a result, errors occur in estimating duration and cost for individual activities or projects. To address these issues, this research sought to collect data, measure productivity, and develop time and cost data using labor productivity based on field conditions from the collected data. A probabilistic approach is also proposed to develop data. A case study is performed to validate this process using actual data collected from construction sites. It is possible that the result will be used as the EVMS baseline of cost management and schedule management.

• International conference on construction engineering and project management
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• 2015.10a
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• pp.259-262
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• 2015

Due to the labor-intensiveness, high investment cost, long execution time, frequent change orders, and many stakeholders in a BIM project, a BIM manager is bound to face a lot of risks to make decisions in cost managing process. Since the productivity of a BIM team will affect the execution cost, this study investigates a simple method of assessing the productivity of a BIM team using the working timesheet records of the team. In this research, the productivity of a BIM team is defined as the effective working floor area (in square meters) of BIM uses per labor-time (in man-months) spent by the team. After the applicability of this method is tested by regression analysis using data from 5 real BIM projects in the construction phase, it is found that the simple productivity definition adopted in the method, although easy-to-implement, does not produce a statistically constant productivity value. More research is therefore needed in the future to devise better indicator(s) for assessing the productivity of a BIM team.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2012.05a
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• pp.333-336
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• 2012

In modern Construction Industry, as accumulation of capital and improvement of technology skills, buildings are becoming higher and more enormous, also the portion of steel works has been increasing. In addition, it is necessary to predict the optimum level of construction cost in a reasonable way. The composition of construction is direct construction cost, indirect construction cost and so on. However, it is not enough to study about indirect construction cost rather than direct construction cost. In this study, the state of productivity and indirect construction cost are analyzed in the steel production. As a result, the productivity and ratio of indirect cost in steel plant by inserted per 1ton are suggested.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.36 no.4
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• pp.9-17
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• 2013

The purpose of this study is to figure out the impacts of technological innovation and cost management on productivity in small shipping industries to come up with developmental implications. To achieve this, a survey was carried out to 150 workers in small shipbuilding industries through April 2 to April 20, 2012. As for findings stated above, technological innovation and cost management in the Korean small shipbuilding industries were key factors that elevate financial and non-financial productivity. In the light of low technological prowess and cost structure of small shipbuilding industries, their productivity can be improved when intensive cost management with production factor technology as know-how is realized through quality management, which product development technology is the top priority as an independent niche strategy. Consequently, the combination of infrastructures in small shipbuilding industries with continuous efforts for cost reduction by the link to the systematized structure can't only secure their independent competitiveness, but raise their productivity.

• Proceedings of the Safety Management and Science Conference
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• 2012.04a
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• pp.269-275
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• 2012

This study contain below two contents. First, this study analyse an effect of consciousness of the quality cost for quality cost activity. Second, this study analyse an effect of quality cost activity for productivity improvement. The empirical result of this study is meaning that quality cost consciousness effects productivity improvement by quality cost activity. Therefore, this paper emphasize consciousness of quality cost for productivity improvement.

• Journal of Forest and Environmental Science
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• v.33 no.2
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• pp.147-153
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• 2017

The purpose of this study was to examine productivity and cost of tree-length harvesting using cable yarding system in a larch (Larix leptolepis) clear-cutting stand located in Pyeongchang-gun, Gangwon-do. We used tree-length harvesting method using cable yarding system with a tower yarder HAM300. The productivity was $17.6m^3/hr$ for felling, $12.4m^3/hr$ for delimbing, $4.2m^3/hr$ for yarding, and $8.1m^3/hr$ for processing. The total cost of the harvesting system was $48,381won/m^3$, which was majorly composed of yarding operation cost, at $40,169won/m^3$ (79.3%), while felling had the lowest cost at $1,154won/m^3$ (4.1%). Major factors affecting felling and processing productivity was tree volume and the number and thickness of branches for delimbing productivity. In addition, we suggest that training and education for machine operators were critical to improve yarding productivity.

• Korea Trade Review
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• v.42 no.2
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• pp.1-27
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• 2017

The purpose of this paper is to examine how industry-level R&D investments increase exports in Korean manufacturing industries through the strengthening of product competitiveness and cost competitiveness. We developed a research model indicating that R&D investments positively affect product competitiveness and cost competitiveness, in which investments in R&D will finally lead to increases in exports in manufacturing industries. Product competitiveness is divided into new product innovation capability and product quality competitiveness, while cost competitive advantage is divided into labor productivity and capital productivity. We have collected data from 20 manufacturing industries between 2004 and 2014, and analyzed them through path analysis. Empirical results of this study are as follows. First, R&D investment in the manufacturing industry positively affects new product innovation capability, product quality competitiveness, labor productivity and capital productivity of the industries. Second, increased product quality competitiveness, labor productivity and capital productivity positively affects exports of Korean manufacturing industries. Thus, we can conclude that R&D investments in Korean manufacturing industries positively influence exports through increases in product quality competitiveness, labor productivity and capital productivity.

• The Journal of the Convergence on Culture Technology
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• v.2 no.2
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• pp.51-63
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• 2016

The aim of this study was to investigate medical expenses and productivity lost costs associated with medical use of arthropathy disease. For this study, Using by Korea Medical pannel 5434 family and 15872 people in 2012, the enrolled 19-year-old arthropathy were considered and 1370 people were analyzed. Research Method was medical management calculation formular. Emergency medical using cost was 42,128,870 won per year, productivity lost costs was 98,640,000 won per year. Admission medical using times were 4.79, medical cost was 42,128,870 won, productivity lost cost was 945,036,820 won. Out patient clinic using time per year were 12.7, medical cost was 42,128,870 won, productivity lost cost was 91,252,728,000 won. According to this study, athropathy disease could affect to medical cost increasing and productivity decreasing, therefore I suggest that exercise and management for decreasing athropathy disease.

• Journal of the Korean Dietetic Association
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• v.15 no.3
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• pp.262-277
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• 2009

Fresh-cut foods have been widely used in the school foodservice industry due to their convenience and saving effects of labor and working hours. This study evaluated the effectiveness of using fresh-cut foods in school foodservice with respect to cost efficiency, customer satisfaction, employee satisfaction, and productivity. First, in terms of cost efficiency, the cost of the fresh-cut food per meal price significantly increased by 2.6% via the new production plan. Meanwhile, the costs of labor and food wastes significantly decreased by 3.0% and 0.3%, respectively, after implementing the new plan. Second, customer satisfaction towards foodservice significantly increased, from 2.94 points prior to the new plan to 3.45 points. Third, foodservice productivity such as of the number of meals per full-time equivalent employee increased by 5.7 meals, from 143.0 meals to 148.7 meals after intervention. The productivity index of work hours for producing a meal also increased and was reflected by a work time reduction of 0.77 minutes, specifically from 4.25 minutes to 3.48 minutes. The labor cost per meal also decreased by 29.9 won, from 331.91 won to 301.97 won, but there was no significant difference. Through these results, we identified that using pre-process foods in school foodservice has positive effects on labor saving, customer satisfaction, and employee work satisfaction.