• Journal of Construction Engineering and Project Management
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• v.4 no.1
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• pp.45-50
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• 2014

Productivity analysis is the most important and significant method for evaluating management and engineering performance during whole project stage. However, it is very difficult in developing qualitative index to construction industry comparing to other industries. Therefore, analytical hierarchy process (AHP) is one of the methods for overcoming these limitations by checking consistency index using duality comparison. In this study, it is scraped up an application plan and selection for innovative tools by analyzing survey results on tool users and site managers with respect to using Modified-AHP performance measurement method.

• Journal of Agricultural Extension & Community Development
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• v.16 no.4
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• pp.939-965
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• 2009

The Machine Learning has been identified as a promising approach to knowledge-based system development. This study aims to examine the ability of machine learning techniques for farmer's decision making and to develop the reference model for using pig farm data. We compared five machine learning techniques: logistic regression, decision tree, artificial neural network, k-nearest neighbor, and ensemble. All models are well performed to predict the sow's productivity in all parity, showing over 87.6% predictability. The model predictability of total litter size are highest at 91.3% in third parity and decreasing as parity increases. The ensemble is well performed to predict the sow's productivity. The neural network and logistic regression is excellent classifier for all parity. The decision tree and the k-nearest neighbor was not good classifier for all parity. Performance of models varies over models used, showing up to 104% difference in lift values. Artificial Neural network and ensemble models have resulted in highest lift values implying best performance among models.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.8 no.5
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• pp.90-95
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• 1999

Chucking for workpieces is very important for productivity and efficiency in lathe operations. In point of productivity top jaws of the chuck should be changed as quickly as possible in order to reduce idle times wherever workpieces are regripped. A quick change power chuck which can change top jaws quickly by using a jaw change handle without any assembly/disassembly processes of screws is analyzed for this study. strength and stiffness of top jaws by centrifugal force are considered for the design. Structural analysis for the chuck is executed and the finite element method is introduced using MSC/NASTRAN software. Also, the performance of the chuck is evaluated by experiments.

• Proceedings of the KSME Conference
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• 2007.05a
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• pp.1243-1248
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• 2007

In recent, rapid manufacturing (RM) technology is widely used to develop an injection mould with a high performance. The objective of this paper is to develop the injection mould with a high productivity using a hybrid RM technology combining Laser-aided Direct Metal Tooling process with a machining process. The geometry decomposition has been utilized to improve the speed of the manufacturing for the mould. Mould with conformal cooling channels has been designed to improve cooling characteristics. Several experiments have been carried out to evaluate characteristics of the mould manufactured from the hybrid RM technology. In addition, injection molding tests have been performed to examine the performance of the manufactured mould. The results of the injection molding tests have been shown that a cooling time and the injection time of the designed mould are reduced to one-fifth and one-second that of the mould with convention cooling channels.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2010.05a
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• pp.101-104
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• 2010

Development and practical emerging construction technologies has been studied as one of key solution for overcoming these barriers. Many literatures indicated that effective performance evaluation methodologies are demanding for efficient applications of new technologies. This paper presents a performance evaluation methodology using construction simulation technique and introduces studies of two cases where the steel staircase system, as an new technologies was applied and where the conventional method of staircase concrete works. Productivity was measured and calculated by site observation and construction simulations. This results show the quantified influence of new technology to site personnels and assist them to make various decisions for using or not using the technology depending on their own situations.

• Journal of the military operations research society of Korea
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• v.29 no.1
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• pp.112-119
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• 2003

The procedure and implementation of an simulation based production planning and scheduling system. Production planning and scheduling is important problem in manufacturing field. It is so important for delivery quality as well as productivity, too. In this paper, heuristic production planning and scheduling module for improving delivery quality and productivity will be discussed. Beginning with total demand and initial work in process, the algorithms for production scheduling and planning can efficiently generate a feasible production resources and capacity schedule results in high resource utilization, minimum number of the late orders and reduced labor variability. The algorithm is executed to achieve the best on time delivery performance. The developed heuristic algorithms in the module will be expected to provide the better delivery performance and productivity.

• Journal of Technologic Dentistry
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• v.9 no.1
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• pp.5-19
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• 1987

The factors which impact on the productivity of medical organization are technique, manager, raw materials, management style, manpower structure, job construction, and so on. Human resources is the most important factor among them, but the productivity of serice organization can not be measured easily. The purpose of this study was to verify the effect of laboratory status, the degree of job cognition, and stress on the productivity of dantal prosthetic products, and to fine out the factors which impact on the productivity. The results were as follows: 1. The job characteristice of crown bridge laboratory part and porcelain laboratory part similar to each other. Also partial denture laboratory part and complete denture laboratory part were similar to each other. But that of orthodontic laboratory part was different from other. 2. the degree of job cognition made significant difference statisfically according to job characteristics of each dental laboratorise. 3. The correlation coefficient between job cognition of dental laboratory technician and workshop environment was.23, but the correlation between job cognition job stress appeared reversely, its coefficient was-.17. 4. The productivity of technician engaged in dental laboratory was much heigher than that of technician engaged in dental clinical laboratory room, and each were different in the degree of job cognition. 5. the most important factors which impact one the performance productivity of dental laboratory technician were the fact whether he married or not and his status.

• Journal of Korea Trade
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• v.25 no.1
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• pp.133-151
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• 2021

Purpose - This study examines the effects of expatriate transfer on foreign affiliate's labor productivity. Design/methodology - Using Korean-owned foreign affiliate-level data, we estimate the effect of expatriate transfer on foreign affiliate's labor productivity using the system generalized method of moments model. We also consider foreign affiliate- and host country-specific contingencies and test how they are associated with expatriates in enhancing foreign affiliate's labor productivity. Findings - We consider foreign production intensity and cultural distance between the home (i.e., South Korea) and host countries as key contingencies that influence the effect of expatriates on foreign affiliate's labor productivity. We find that expatriates are effective in enhancing the labor productivity of less production-intensive foreign affiliates. This effect is strengthened as expatriates are deployed to countries that share cultural similarities with the home country. Originality/value - Considering that previous studies provide mixed results on the effect of expatriates, our findings suggest that foreign affiliate-specific operational orientation and cultural distance should be considered jointly to understand the true effect of expatriate staffing on foreign affiliate performance.

• Journal of Korea Society of Digital Industry and Information Management
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• v.17 no.1
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• pp.57-73
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• 2021

The purpose of this study is to analyze the diffusion period and productivity of smartwork in an organization. Firms are increasingly interested in smartwork for non contact work and working from home because of the corona 19. The smartwork is a new technology that changes face-to-face work in an organization. It helps the work of individuals and organizations regardless of time and place. The theoretical background describes the complexity, system thinking, diffusion theory, smart work, organizational resistance, and productivity. This study analyzes the diffusion period and productivity of smart work through business simulation techniques. A simulation study progresses four stages. There are problem definition, hypothesis establishment and causal loop diagram, model construction and verification, and policy evaluation. The simulation models contain an individual's resistance variables organizational investment and leadership variables related to the operation of smartwork. The organizational investment variables include organizational culture, legal system, implement systems and technology investment. The individual resistance variables include cognitive, attitude, structure and technological resistance. The leadership includes leadership interest variables and performance linkage variables. The simulation executed the changes of a people number adopting smart work and the organizational productivity monthly. As a result of the simulation, many organization members have accepted the smart work innovation after 20 months. The organizational productivity through smart work showed very high value after 16 months. In scenario analysis, the individuals' awareness and attitude resistance showed very important variables to productivity and a personal change of smart work adoption. Meanwhile, The organizational investment showed that the high driving-force increased not productivity and the low driving-force showed decreased low productivity. Also, leadership variables showed a powerful driver for changing smart work productivity. The implication of the study has suggested extending complexity, diffusion theory and organization resistance theory based on simulation methods.

• 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.