• Journal of Korean Institute of Industrial Engineers
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• v.16 no.1
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• pp.27-36
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• 1990

This study deals with the dynamic transportation-inventory model for a single product from which the optimal procurement quantities and the transportation modes are determined simultaneously over a finite planning horizon. Moreover, it covers the situation where quantity discounts are applied to the transportation cost as well as the purchase cost and disposals of the excess are possible at the end of each period. For a relevant mathematical model formulated, the theorems and properties of an optimal solution are discussed to present the efficient algorithm. A numerical example is solved to illustrate the algorithm developed.

• Journal of Information Technology Applications and Management
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• v.26 no.2
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• pp.89-110
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• 2019

Information technology is an effective means for raising firm competitiveness. In fact, what to purchase or how to purchase it must fall under a highly complex decision-making in which many different stakeholders are involved. These stakeholders are often known to take a defensive behavior. That is, instead of working toward a common goal of organizational performance, each individual of these stakeholders tends to act defensively to avoid risks he/she faces or minimize subsequent changes. Despite a frequent occurrence of defensive behavior in the process of IT purchasing, there has been no research about defensiveness in IT purchasing. Our study aims to elicit different types of defensive behavior in IT purchasing situations and to identify causes of these defensive behaviors. To this end, we surveyed IT professionals having much experience in IT purchasing and took a qualitative analysis on their opinions. We found out that there exist 9 different types of defensive behavior in IT purchasing and identified a set of factors causing the defensiveness and a set of their consequences.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.16 no.2
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• pp.153-161
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• 2021

This study analyzed the ripple effect of the demand-side support for start-up venture companies on the macro economy using Dynamic General Equilibrium model. In the model, start-up venture companies were expressed in a manner that distinguished between workers and entrepreneurs by applying the span of control in the Lucas(1978). As a result of the analysis, when the share of public procurement of start-up venture companies was increased from 5.7% to 10%, the actual production of start-up venture companies increased by about 46.17% and the number of venture companies increased by about 150%. In addition, it was analyzed that the number of jobs through venture companies increased by about 61.56%. In addition, it was found that the economic effect was greatly reduced when the start-up venture company was supported as a subsidy for the supply sector with the same amount as the public procurement support. This is interpreted as the fact that if the government implements the supply-side support policy, the expansion of supply causes the price of start-up venture companies to fall, reducing the effect of the support policy in half. Therefore, when supporting start-up venture companies, the government should make efforts to maximize the policy effect by expanding the demand-side support through public procurement and reducing the payment of simple subsidies to start-up venture companies.

• Korean Journal of Construction Engineering and Management
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• v.17 no.1
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• pp.92-100
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• 2016

Many research efforts have made on various fields to develop a system which is able to process diverse data in terms of efficiency and accuracy as well as minimizing the error in data-processing. As known, it is obvious that procurement is crucial process for the plant projects due to its importance and impact on the performance. It is strongly required to develop an effective metadata system to assist optimal controlling data for the logistics discipline of procurement processes in plant projects. Therefore, the main purpose of this paper is to apply a metadata system for logistics of the plant projects. The suggested technical module is tested using sample data and evaluated its performance in terms of accuracy and running speed. The results of this research will be extended to the other processes of plant projects in order to achieve a ultimately process-based life-cycle plant project information management system

• Journal of the Korean Society for Railway
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• v.11 no.4
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• pp.371-377
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• 2008

As a railway is receiving attention as an environment-friendly transportation mode, many high speed, inter-city and urban railway are constructed and remodeled in the world. With this trend, railway RAMS was included in the international standard IEC 62278 in 2002. RAMS activity in domestic market is also increased with this international trend. However, IEC 62278 does not describe the methodology of substantial contents like how reliability target is set although it can be used as an overall guideline when RAMS requirements are included in the purchase specification. That is because RAMS requirements should be set with the specific railway condition. It is required to fully understand the meaning of railway RAMS parameters and apply those correspond to the specific railway system and environment condition especially when a quantitative RAMS requirement is set. In this study, the meaning and characteristics of RAMS parameters applicable to the development of quantitative RAMS requirement of rolling stock is described. And the basic concept of RAMS and the definition of failure that IEC 62278 describes is modified and suggested in order to make more suitable to the development of quantitative RAMS requirement.

• Journal of the Korea Institute of Building Construction
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• v.17 no.1
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• pp.83-90
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• 2017

Recently, BIM has been actively adopted in construction projects and industries, and also integrated with Information and Communications Technology(ICT) such as cloud computing technology, sensor technology, 3D scanning and printing technology etc. However, it is very difficult to efficiently utilize BIM services, technologies and collaborate with each other because of differences of usage and requirements of technologies. Every participant in the same construction project has their own needs, requirements and details of the model in each phase. In order to enhance utilization BIM model, BIM services and technologies required in their project have to be clearly defined in the initial stage of the project. In order to support the owner to define the BIM level, BIM service level and application technologies are identified and guidelines how to define the level and technologies for their project purpose are suggested in this study.

• Korean Journal of Construction Engineering and Management
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• v.10 no.5
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• pp.3-15
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• 2009

Recently, it has increased projects in the Oil and Gas industry as growing plant of overseas construction market. Therefore, domestic companies need to set some aggressive plans up that secure competitiveness of international plant business such as enhancing productivity, technological ability and statistical management. Specifically in the Oil and Gas industry of overseas plant business requires implying information in EPC (Engineering, Procurement and Construction, below EPC) more, but it has not been suggested an appropriate breakdown system for contents that manages the information each EPC phase, which lead to problems such as revision of design document, occurring duplicated work and omissions of each participant. For these problems, we find market share decreasing and competitiveness running down. Thus, for increasing practical use of contents management system and construction industry's information, this paper suggests a contents breakdown system based on BPM (Business Process Management), defines business process and systematizing knowledge needed, and finally analyzing contents information that establish information among industrial facilities in Design phase which is the weakest part of domestic companies.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.823-830
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• 2022

The risk of project execution increases due to the enlargement and complexity of Engineering, Procurement, and Construction (EPC) plant projects. In the fourth industrial revolution era, there is an increasing need to utilize a large amount of data generated during project execution. The design is a key element for the success of the EPC plant project. Although the design cost is about 5% of the total EPC project cost, it is a critical process that affects the entire subsequent process, such as construction, installation, and operation & maintenance (O&M). This study aims to develop a system using machine-learning (ML) techniques to predict risks and support decision-making based on big data generated in an EPC project's design and construction stages. As a result, three main modules were developed: (M1) the design cost estimation module, (M2) the design error check module, and (M3) the change order forecasting module. M1 estimated design cost based on project data such as contract amount, construction period, total design cost, and man-hour (M/H). M2 and M3 are applications for predicting the severity of schedule delay and cost over-run due to design errors and change orders through unstructured text data extracted from engineering documents. A validation test was performed through a case study to verify the model applied to each module. It is expected to improve the risk response capability of EPC contractors in the design and construction stage through this study.

• Journal of Environmental Science International
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• v.32 no.11
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• pp.821-831
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• 2023

Recently, landscaping construction has played a significant role in enhancing the quality of life for citizens by creating and maintaining outdoor spaces. However, landscaping projects vary in material procurement depending on the contracting method, and they also present various challenges in defect occurrence and defect rectification due to their specialized nature. In this study, we classified different types of projects based on material procurement ratios and conducted on-site assessments of defect status by specific processes. We also analyzed the itemization of material ratios and defect rectification costs. The results revealed it was found that projects with a higher proportion of government-provided materials had the poorest defect status in terms of planting works and also incurred the highest defect rectification costs. Moreover, conflicts concerning the responsibility for defects arose. Currently, there are no specific guidelines for setting standards for the proportion of government-provided materials in landscaping construction contracts. Furthermore, there is ambiguity in the management of defect rectification. Therefore, it is necessary to establish a systematic landscaping construction contracting framework by providing institutional guidelines tailored to local governments or the circumstances of contracting entities and to conduct thorough reviews of construction processes.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.143-159
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• 2015

Predicting IT trends has been a long and important subject for information systems research. IT trend prediction makes it possible to acknowledge emerging eras of innovation and allocate budgets to prepare against rapidly changing technological trends. Towards the end of each year, various domestic and global organizations predict and announce IT trends for the following year. For example, Gartner Predicts 10 top IT trend during the next year, and these predictions affect IT and industry leaders and organization's basic assumptions about technology and the future of IT, but the accuracy of these reports are difficult to verify. Social media data can be useful tool to verify the accuracy. As social media services have gained in popularity, it is used in a variety of ways, from posting about personal daily life to keeping up to date with news and trends. In the recent years, rates of social media activity in Korea have reached unprecedented levels. Hundreds of millions of users now participate in online social networks and communicate with colleague and friends their opinions and thoughts. In particular, Twitter is currently the major micro blog service, it has an important function named 'tweets' which is to report their current thoughts and actions, comments on news and engage in discussions. For an analysis on IT trends, we chose Tweet data because not only it produces massive unstructured textual data in real time but also it serves as an influential channel for opinion leading on technology. Previous studies found that the tweet data provides useful information and detects the trend of society effectively, these studies also identifies that Twitter can track the issue faster than the other media, newspapers. Therefore, this study investigates how frequently the predicted IT trends for the following year announced by public organizations are mentioned on social network services like Twitter. IT trend predictions for 2013, announced near the end of 2012 from two domestic organizations, the National IT Industry Promotion Agency (NIPA) and the National Information Society Agency (NIA), were used as a basis for this research. The present study analyzes the Twitter data generated from Seoul (Korea) compared with the predictions of the two organizations to analyze the differences. Thus, Twitter data analysis requires various natural language processing techniques, including the removal of stop words, and noun extraction for processing various unrefined forms of unstructured data. To overcome these challenges, we used SAS IRS (Information Retrieval Studio) developed by SAS to capture the trend in real-time processing big stream datasets of Twitter. The system offers a framework for crawling, normalizing, analyzing, indexing and searching tweet data. As a result, we have crawled the entire Twitter sphere in Seoul area and obtained 21,589 tweets in 2013 to review how frequently the IT trend topics announced by the two organizations were mentioned by the people in Seoul. The results shows that most IT trend predicted by NIPA and NIA were all frequently mentioned in Twitter except some topics such as 'new types of security threat', 'green IT', 'next generation semiconductor' since these topics non generalized compound words so they can be mentioned in Twitter with other words. To answer whether the IT trend tweets from Korea is related to the following year's IT trends in real world, we compared Twitter's trending topics with those in Nara Market, Korea's online e-Procurement system which is a nationwide web-based procurement system, dealing with whole procurement process of all public organizations in Korea. The correlation analysis show that Tweet frequencies on IT trending topics predicted by NIPA and NIA are significantly correlated with frequencies on IT topics mentioned in project announcements by Nara market in 2012 and 2013. The main contribution of our research can be found in the following aspects: i) the IT topic predictions announced by NIPA and NIA can provide an effective guideline to IT professionals and researchers in Korea who are looking for verified IT topic trends in the following topic, ii) researchers can use Twitter to get some useful ideas to detect and predict dynamic trends of technological and social issues.