• Journal of the Korean Operations Research and Management Science Society
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• v.16 no.2
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• pp.61-61
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• 1991

We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently

• Korean Management Science Review
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• v.29 no.3
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• pp.13-21
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• 2012

As culture technology is recognized as the important element of national industry, the necessity of the related policy development for enhancement of culture technology is magnified. In this study, we use conjoint analysis to investigate how the researchers from industry and academia think differently on the importance of several attributes in government-supported culture technology research project such as research period, size of research fund, inter-affiliated research requirement and interdisciplinary research requirement, and preference on those attribute levels. Also, we describes how a simulation experiment is designed to simulate participation shares of four alternative hypothetical research project profiles. This study will help establish the more effective policy of the national research program by understanding the preferential differences between industry and academia on the research project attributes.

• Korean Journal of Organic Agriculture
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• v.21 no.1
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• pp.49-59
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• 2013

The Purpose of this paper is to analysis on farmer's awareness and satisfaction level of the project for developing large-scale environment-friendly agricultural districts (LSEAD). To analysis farmer's awareness and satisfaction level, a series of farm household surveys were conducted on farmers, take part in the project for developing LSEAD. The sample size of the survey is 80 respectively. As a survey result, awareness and practical use of facilities & equipment shows a little different outcome. Satisfaction level of the project for developing LSEAD is summarized as follows. Influence on disposal of livestock excretions and farmer's consciousness change appears 4.47 and spreading environment-friendly agriculture 4.44, distribution of environment-friendly agricultural product 4.33, and demand of environment-friendly agricultural materials 4.04. In order to sustainable development of LSEAD, a governance system should be established.

• Korean Management Science Review
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• v.16 no.2
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• pp.61-77
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• 1999

We propose a strategic R&D resource allocation and project selection model based on national R&D policy and objectives. First, contributions to R&D policy and objectives for each R&D area are evaluated by using analytical hierarchy process (AHP). Second, fuzzy Delphi are proposed to estimate R&D budget for each R&D area. Then, a project selection grid is also introduced to implement two-phased evaluation for R&D project selection. We also discuss how to improve the consistency in AHP and how to reduce the pairwise comparison in AHP. The proposed model enables the decision makers to allocate R&D budget, and to evaluate and select the R&D proposals based on both the contribution to national R&D policy and objectives, and the size of each R&D area concurrently.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.05a
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• pp.937-940
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• 2013

현대 S/W 프로젝트에서의 규모와 복잡성이 증대됨에 따라 표준 프로젝트 관리 프로세스의 도입과 연구가 활발하게 진행이 되고 있으나, 운영성 프로젝트와 같은 소규모 프로젝트의 관리를 위한 프로젝트 관리 프로세스에 대한 연구는 미흡한 실정이다. 본 논문에서는 국제 표준 프로젝트 관리 프로세스인 ISO-21500 과 실제 소규모 프로젝트 수행사례를 비교하여 소규모 프로젝트 관리 특성을 파악하고, Core 관리영역과 Support 프로세스 영역을 비교 분석하였다. 연구 결과로 소규모 프로젝트의 통합, 범위, 일정 관리 영역 항목에서 품질 및 리스크와 같은 다른 관리 영역에 비해 더 많은 비중으로 수행되고 있음을 확인할 수 있었다. 향후 본 연구를 통해 소규모 프로젝트 수행 시 고려되어야 할 사항들을 정의하여 소규모 소프트웨어 프로젝트를 더 성공적으로 수행할 수 있도록 도움이 되고자 한다.

• International Journal of Computer Science & Network Security
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• v.24 no.6
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• pp.17-22
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• 2024

Software cost and schedule estimation is usually based on the estimated size of the software. Advanced estimation techniques also make use of the diverse factors viz, nature of the project, staff skills available, time constraints, performance constraints, technology required and so on. Usually, estimation is based on an estimation model prepared with the help of experienced project managers. Estimation of software cost is predominantly a crucial activity as it incurs huge economic and strategic investment. However accurate estimation still remains a challenge as the algorithmic models used for Software Project planning and Estimation doesn't address the true dynamic nature of Software Development. This paper presents an efficient approach using the contemporary Constructive Cost Model (COCOMO) augmented with the desirable feature of fuzzy logic to address the uncertainty and flexibility associated with the cost drivers (Effort Multiplier Factor). The approach has been validated and interpreted by project experts and shows convincing results as compared to simple algorithmic models.

• Journal of Information Technology Services
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• v.10 no.4
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• pp.191-204
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• 2011

Recently, many software companies are trying to improve the software quality and project outcome with more costs and efforts in development time. In the software convergence and integration environments, it is required efforts to gain high quality of software. In other words, it is required to utilize software engineering knowledge and technology for higher software quality and better software project productivity. The Software development productivity can be varied by software process capability according to building a framework for software development, selection and use of appropriate technology, human resource management. Software process capability will influence software project outcome which is the general opinion. This study provides empirical evidence about software engineering efforts and investment approach to lead software project performance. We measured the software engineering efforts by SW engineering level and analyzed the corelation between software engineering level and schedule deviation. And, we verified that this performance is affected by the size of software company. As a result, software process capability is important to build a infrastructure and develop systematically software project. The higher software engineering level can lead to improved software project performance.

• Journal of Korean Society for Quality Management
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• v.38 no.3
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• pp.439-448
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• 2010

Since the six sigma strategy was first introduced to Motorola in 1987, it has been taken as an important business strategy to strengthen the competitiveness of leading companies in the global competitiveness environm ent. This paper presents a six sigma project to reduce the cycle time of assembly line in a medium size automotive part company. The project follows a structured methodology of DMAIC cycle which consists of Define, Measure, Analyze, Improve, and Control. A CTQ is determined based on COPQ analysis, and a process map is utilized for identifying process input variables. As a result of the project, two assembly lines are converted to cell line production lines. The cycle times become 55 sec./unit and 64 sec./unit from 64 sec./unit and 83 sec./unit at the beginning of the project, respectively.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.543-550
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• 2022

The U.S. Department of Energy conducts the Solar Decathlon competition as a student-based achievement that encourages sustainable design with energy efficiency and solar energy technologies. In the 2020 competition, the University of Nevada, Las Vegas (UNLV) team designed, fabricated, and constructed a net-zero modular house that applies innovative and highly efficient building technologies. This paper focused on the lessons learned during the early phases of this ongoing modular project. The research methodology included obtaining feedback from key project participants using a well-structured questionnaire. The results showed that the major items/challenges in the project's planning phase included selecting the modular size, planning the construction system, planning the materials and procurement, estimating costs and duration, selecting a fabricator, collaboration and communication, safety, and planning module transportation. These findings will help modular practitioners and future Solar Decathlon competition participants better understand how and what factors they should consider most during the early phases through the lessons learned.

• Journal of the Korea Institute of Building Construction
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• v.13 no.6
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• pp.565-578
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• 2013

Batch production is common in repetitive construction projects, and it is not unusual for different batch sizes to be used by contractors in one project. While several scheduling methods, such as the Linear Scheduling Method (LSM) and the Repetitive Scheduling Method (RSM) have been proposed and used, no mathematical method for repetitive construction projects has been developed, and it is difficult to consider different batch sizes with the existing methods. An original mathematical algorithm for scheduling repetitive projects with different batch sizes is proposed in this study. This algorithm is illustrated with assumptions of resource continuity and single path in a project and introduces new terms, control batch and critical batch. The algorithm logics and mathematical equations are validated by comparison with the outcomes from a graphical scheduling approach through a simple and practical hypothetic project. As a result, it is expected that the proposed algorithm can be easily adapted and extended to computer software for scheduling, and can be a starting point for research on batch size management in repetitive construction projects.