• 대한안전경영과학회지
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• 제12권2호
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• pp.113-123
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• 2010

The goal of this study is to analyze an effect of productivity elevation. For the goal, the various methods of the productivity elevation were suggested and the system improvements were conducted. The S company was established in Ban-Wol Industrial Complex, Ansan-City, Kyonggi-Do on 2007. The company was hiring 22 employees. The main manufactures were heavy duty equipment parts and the amount of sale was two billion won on 2008. Problems which the company faced were ambiguous production target management and materials loss. To solve the problems, NCT work improvement and automatic welding were induced. There were steel saving of 3,780,000won/month and man-hour saving of 144,000won/month by redesign of the steel sheet for the NCT steel job. Also, changing from handwork to automatic welding, the man-hour saving for the welding job was 320M/H and saving of 4,225,600won/month. The others of systematic improvement for productivity elevation were usage of jig and daily equipment checklist.

• 산경연구논집
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• 제11권4호
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• pp.7-18
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• 2020

Purpose: This research investigates the impact of technology adoption on organisation productivity. The framework has three independent variables viz. technological change, information technology (IT) infrastructure, and IT knowledge management and one dependent variable as organisational productivity. Research design, data and methodology: An explanatory research design with a quantitative research method was employed, and data was collected using a self-administered questionnaire using online as well as an offline survey. The sample consisted of 300 IT managers and senior-level executives (production as well as service team) in leading IT companies in Malaysia selected using snowball sampling. Normality and reliability assessment was performed in the first stage utilising SPSS 22, and Confirmatory Factory Analysis (CFA) was performed with maximum likelihood estimation to assess the internal consistency, convergent validity, and discriminant validity. Finally, Structural Equation Model (SEM) and path analysis are conducted using AMOS 22. Results: The research findings demonstrated that technological change and IT infrastructure positively and significantly impact the organisation's productivity while IT knowledge management has significant but negative impact on organizational productivity of IT companies in Malaysia. Conclusion: The research concludes that all three factors plays important role in deciding organizational producvity. Recommendations, implications, limitations and future research avenues are discussed.

• 기술사
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• 제33권2호
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• pp.62-67
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• 2000

The trouble rank of business management of the small-medium manufacturing enterprises in Korea is constituted by that average 28.6% of production management in the worst trouble of business management from 1982 to 1999. The status of production management approaching problem is analyzed for Korean small-medium manufacturing enterprises and it us checked productivity improvement and requirement facts impede productivity improvement. It is expected to contribute much productivity improvement through a new established model of production management system and technique or tool for small-medium manufacturing enterprises in Korea.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.632-639
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• 2022

The objective of this study is to analyze the productivity, efficiency, and factors affecting the productivity of a spray task from an international airport project. The study is focused on the productivity analysis of the Subcontractor whose job was to supply and apply sprayed-applied fire-resistive material (SFRM) on steel members to achieve the necessary fire ratings on the building structures of the Hamad International Airport, Qatar. The study analyzed the productivity of the four sprayer teams who completed the task at three locations and three areas of the airport. The study found that the productivity of the individual team observed during the SFRM spray task was not only different but was also observed different when they worked at varying floor heights where different factors affecting productivity were predominant. The study found that the efficiency was lowest (47.32%) when the spray team had to work at second-floor heights and factors affecting productivity such as limited accessibility for material movement and lifting, site congestion, lack of continuity of operation due to priority areas and frequent re-handling of machines and tools were present. Besides, the factors such as adverse weather conditions and sub-trades interference affected productivity at all locations. The findings show that productivity depends on multiple factors and those factors need to be identified and addressed to improve productivity. The findings also show that the estimated efficiency was hard to achieve but possible since Team 4 had 97% efficiency on the first floor of the airport.

• 한국건설관리학회논문집
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• 제21권1호
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• pp.99-110
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• 2020

생산성은 산업차원, 혹은 기업차원에서 경제성장과 각 관련 생산 활동의 효율성을 측정할 수 있는 지표로서 건설 산업에서도 매우 중요한 지표이다. 기술적인 요인이 생산성에 큰 영향을 미치는 것이 사실이지만, 실제적인 건설 산업의 생산성 향상을 위해서는 다양한 생산성 영향요인에 대한 분석이 선행되어야 하며, 거시적인 관점에서 다루어지는 건설 산업 차원에서의 생산성 향상 노력보다는 프로젝트 차원에서의 생산성 향상 노력이 더욱 중요한 의미를 갖는다. 생산성 향상의 효율성을 높이기 위해서는 우선적으로 생산성에 영향을 미치는 요인들에 대한 분석 과정이 필요하며 개선효과가 큰 분야에 집중적으로 투자할 필요가 있다. 본 연구는 건설 산업의 질적 향상을 위해 건축공사 현장에서의 생산성 저하요인 도출 및 요인 간의 인과관계 구조분석을 통해 우선적 관리 요인을 선정함으로써 프로젝트의 효율적인 생산성 관리 활동을 위한 기초자료로 활용할 수 있도록 제공하고자 하였다.

• 한국건설관리학회:학술대회논문집
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• 한국건설관리학회 2007년도 정기학술발표대회 논문집
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• pp.306-311
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• 2007

건설 생산성은 생산조직의 견실성과 생산 활동의 효율성을 평가하는 지표로서, 생산성의 측정과 분석을 적절하게 하는 것이 매우 중요한 요소이다. 본 연구에서는 이러한 건설 산업의 생산성을 분석할 수 있는 웹(Web)과 OLAP 구조에 기반한 시스템을 개발하기 위한 기본 연구를 진행하는 것을 목적으로 하고 있다. 따라서 생산성 영향요인을 선정하고, 웹(Web)과 OLAP 기반의 시스템 설계를 위하여 시스템의 모듈간의 정보 흐름에 대한 IDEF0 모델링과 각 조직별 주체간의 업무 흐름을 정의 하였다. 또한, 시스템 내부의 정보 흐름을 보여 줄 수 있는 ERD 모델링을 구축하여 생산성분석 시스템 구축을 위한 설계를 진행하였다. 이러한 시스템 설계를 기반으로 생산성 분석 시스템 개발을 위한 방안을 제시함으로써 시공 현장에서 현장관리자가 의사결정을 지원할 수 있는 체계를 구축할 수 있을 것으로 기대된다.

• 국제학술발표논문집
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• The 9th International Conference on Construction Engineering and Project Management
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• pp.492-499
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• 2022

A large number of employees shifted to Work from home (WFH) due to the COVID-19 pandemic, including the construction workforce. The changes in workload and productivity due to WFH impact the work performance and economic outputs of companies. However, there are mixed results about the impacts of WFH on workload and productivity. In particular, limited studies focused on specific types of work of different occupations in the construction workforce. This study aims to explore the impacts of WFH on workload and productivity considering different types of work for the construction workforce in the U.S. After identifying three main occupations and five types of work, an online survey (N = 69) was distributed. Descriptive analysis showed that participants had less workload (0.82 hours/week) and lower productivity (9.69%) during WFH. Three occupations had varied changes due to the different types of work. Analysis of Variance (ANOVA) indicated that there was no significant difference in workload, while productivity was decreased during WFH. In particular, the productivity of project-related work and communication and documentation decreased significantly. Overall, participants finished 2.85% less workload per week during WFH. The findings provide an insight into WFH in the construction workforce, which improves future remote or hybrid work arrangements in the construction industry.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2004년도 춘계공동학술대회 논문집
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• pp.656-659
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• 2004

The objective of this paper is to analyze the combined productivity at automated container terminal. We present a simulation model for transport vehicle that perform the container transportation between apron and yard with a perpendicular yard layout. Usually, the efficiency of container terminal is evaluated by productivity of container cranes at apron, and though there are enough support of transport vehicles and yard cranes, can improve the productivity of container cranes. Especially, transport vehicle is very important factor in productivity of container cranes and has variable work productivity according to loading and unloading situation. Therefore, a method that can estimate combined productivity of equipment is required. We performed various simulation experiment and analyzed combined productivity to estimate the required number of equipment.

• 한국IT서비스학회지
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• 제13권2호
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• pp.195-217
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• 2014

This paper has explored when implementing SW development project of the IT service corporations, what factors affect its productivity in SW development methodology. The importance of the AHP analysis surveyed from the experts in IT service companies and related committee, was shown in the order of the following processes : 1) Deployment process 2) Management process 3) Establishment process. It is measured the methodology levels of establishment, deployment and management in each project using the survey results collected from project execution members and analyzed the productivity of projects that have been executed within 2 years. Using project methodology level, productivity correlation analysis, and regression analysis, this study confirms that the methodology deployment level brings positive effects significantly to SW development productivity. The significance of this study would be not only to research and analyze SW development productivity using the real project execution data but also to underline the necessities and the importance of steady research, deployment and support for SW development productivity improvement.

• 경영과학
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• 제34권2호
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• pp.57-66
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• 2017

The purpose of this study is to analyze the multidimensional productivity of the shipbuilding performance and to explain the role of different factors, such as man-hour, dock period, number of building block, launching process rate, automatic welding percent, and drawing fault rate which are important production-related variables in most shipbuilding companies. The shipbuilding productivity is obtained using Data Envelopment Analysis (DEA) approach. Then, a Tobit model is considered to measure the influence of different factors on the measured productivity. The results reveal that this productivity measure can substitute a representative shipbuilding productivity index (CGT/man-hour) in shipbuilding industries. Also, this multidimensional productivity analysis using DEA and Tobit reveals complex relationships between production-related variables and CGT and sale.