• Journal of Construction Engineering and Project Management
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• 제4권4호
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• pp.33-40
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• 2014

Maximizing the profitability and minimizing the duration of construction projects in extreme weather regions is a challenging objective that is essential for project success. An optimization model is presented herein for the time-profit trade-off analysis of construction projects under extreme weather conditions. The model generates optimal/near optimal schedules that maximize profit and minimize the duration of construction projects in extreme weather regions. The computations in the model are organized into: (1) a scheduling module that develops practical schedules for construction projects, (2) a profit module that computes project costs (direct, indirect, and total) and project profit, and (3) a multi-objective module that determines optimal/near optimal trade-offs between project duration and profit. One example is used to show the impact of extreme weather on construction time and profit. Another example is used to show the model's ability to generate optimal trade-offs between the time and profit of construction projects under extreme weather conditions.

• 기술혁신연구
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• 제6권2호
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• pp.178-207
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• 1998

This article suggests a methodology to decide the priority of investment project for venture business under the dynamic circumstance. By the Monte Carlo procedure on the probability distribution of cost and revenue, the model simulates the investment project to estimate profit ratio and risk. The profit ratio is calculated on the yearly basis for the relative comparison. The project risk is calculated as semi-variance under the target yield. After sufficient simulations in this fashion for several projects, the efficient projects with more profit and less risk are selected by the dominance principle. Then the regression equation of the selected projects is produced to find the relative value of the projects. The relative value is obtained through dividing the raw profit ratio by the estimated one on the equation. This value shows the degree to which the simulated project yields over the equation. The priority of investment is decided by this value. An examplary venture business of chemical development for semi-conductor is presented as a case study.

• 국제학술발표논문집
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• The 1th International Conference on Construction Engineering and Project Management
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• pp.360-365
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• 2005

The need of constructing high-tech facilities is one of the important issues concerning the competitiveness by the high-tech companies. It, simultaneously, offers a magnificent opportunity for construction participants. Nevertheless, the high-tech construction is experience-based, resulting in little related construction knowledge that has been statistically analyzed and documented. This study measures and confers with the profit patterns causing the disparity between the traditional and high-tech construction. The database was the result of collecting detailed information of 65 construction projects from eight construction companies, including detailed records of over 20 main construction operations in each project. All of these were performed during the recent 10 years and encompassed in the project types of the high-tech construction, residential building, and commercial building. Rendering suggestions regarding profit management and expecting to economize cost of learning from inexperience while extending to the high-tech construction were both presented.

• 한국건설관리학회논문집
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• 제16권4호
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• pp.50-59
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• 2015

한국 건설 기업들의 해외 진출이 기하급수적으로 늘어나고 있지만 프로젝트를 수행함에 있어 사업의 수익률은 대기업과 경험이 부족한 중소기업을 비교하였을 때 큰 차이가 나타난다(대기업 5건 중 1건 적자, 중소기업 3건 중 1건 적자 공사). 또한 경험이 부족한 중소, 중견 기업들, 특히 하도급 업체에게는 프로젝트 참여시 사업의 적절성을 판단하기란 어려우며 그에 따른 수익률 또한 예측하기 어렵다. 이에 본 연구는 중소/중견 업체, 특히 하도급 업체 관점에서 해외 건설공사 진출 시 수익률에 영향을 미치는 영향인자를 도출하기 위해 1965년부터 시행된 8,637건의 해외건설 준공데이터 및 문헌고찰 기반으로 수익률에 영향을 미치는 10개 인자를 도출 후 다중회귀분석을 통해 영향인자 간 가중치를 도출하였다. 이를 기반으로 사례기반 추론 기법을 이용하여 수익률 예측 모델을 개발하였으며, Type1 &Type2 error 분석을 통해 검증 결과 11%의 오차율을 보였다. 이러한 수익성 예측 모델을 활용하여 국내 건설 하도급업체들은 해외건설공사 진출 시 해당 프로젝트의 수익성 분포를 사전에 확인하여 양질의 프로젝트를 선별하고, 사업 참여의 의사결정에 중요한 참고자료가 될 것을 기대한다.

• 한국건축시공학회지
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• 제12권2호
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• pp.169-182
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• 2012

In the past, a strategic management of work demands has been increasingly challenged to design-build (DB) firms. Such a management is capable of providing sufficient profitable impact of a project on them. Total project profit is mainly related to actual resources, work completion time, amount of rework, and costs. The degree of recycling work packages in the DB project delivery system is used as a measure of the quality of the performed work. However, there are few models available to evaluate the impact of a demand management strategy on the DB firms and to predict its behavior. We propose a decision-making support model as an aid for assessing the amount of rework and for predicting project profit resulting in a convincible demand management strategy. This model is constructed by using a dynamic feedback approach that can analyze the problems arising in complex managerial systems. For the purpose of illustration, widely acceptable strategies were applied into the model to explore their impacts on the DB firms. The results indicate that the model is helpful for the managers in selecting the most appropriate demand management strategy for successfully achieving their objectives.

• 유통과학연구
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• 제13권11호
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• pp.123-130
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• 2015

Purpose - Due to highly elevated levels of competition, many companies today have to face the problem of decreasing profits even when their actual sales volume is increasing. This is a common phenomenon that is seen occurring among companies that focus heavily on quantitative growth rather than qualitative growth. These two aspects of growth should be well balanced for a company to create a sustainable business model. For supply chain management (SCM) planners, the optimized, quantified flow of resources used to be of major interest for decades. However, this trend is rapidly changing so that managers can put the appropriate balance between sales volume and sales quality, which can be evaluated from the profit margin. Profit optimization is a methodology for companies to use to achieve solutions focused more on profitability than sales volume. In this study, we attempt to provide executional insight for companies considering implementation of the profit optimization system to enhance their business profitability. Research design, data, and methodology - In this study, we present a comprehensive explanation of the subject of profit optimization, including the fundamental concepts, the most common profit optimization logic algorithm -linear programming -the business functional scope of the profit optimization system, major key success factors for implementing the profit optimization system at a business organization, and weekly level detailed business processes to actively manage effective system performance in achieving the goals of the system. Additionally, for the purpose of providing more realistic and practical information, we carefully investigate a profit optimization system implementation case study project fulfilled for company S. The project duration was about eight months, with four full-time system development consultants deployed for the period. To guarantee the project's success, the organization adopted a proven system implementation methodology, supply chain management (SCM) six-sigma. SCM six-sigma was originally developed by a group of talented consultants within Samsung SDS through focused efforts and investment in synthesizing SCM and six-sigma to improve and innovate their SCM operations across the entire Samsung Organization. Results - Profit optimization can enable a company to create sales and production plans focused on more profitable products and customers, resulting in sustainable growth. In this study, we explain the concept of profit optimization and prerequisites for successful implementation of the system. Furthermore, the efficient way of system security administration, one of the hottest topics today, is also addressed. Conclusion - This case study can benefit numerous companies that are eagerly searching for ways to break-through current profitability levels. We cannot guarantee that the decision to deploy the profit optimization system will bring success, but we can guarantee that with the help of our study, companies trying to implement profit optimization systems can minimize various possible risks across various system implementation phases. The actual system implementation case of the profit optimization project at company S introduced here can provide valuable lessons for both business organizations and research communities.

• 한국농촌건축학회논문집
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• 제23권1호
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• pp.9-18
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• 2021

In this study, surveys and data collection on new profit-sharing measures were carried out in order to improve the residential environment and residents' participation in 65 MW large-scale solar power complex located at Munhye 5-ri, Galmal-eup, Cheorwon-gun, Gangwon-do province. From May to September 2018, the presentation and meetings for residents were held and a survey for 67 households were carried out in order to collect profit-sharing data which is sharing profits from solar power project improving residential environment. The results of the survey shows that it needs to improve some obstacles of residential environment in rural areas, such as improvement of living infrastructure at village level, improvement of monotonous leisure activities from the residents' point of view, improvement of economic income sources depending on farm income and Basic Old-age Pensions, inconvenience factors in the unsuitable residential environment due to aging. Based on these findings, this paper suggests that Profit-Sharing solar power complex project has possibilities to improve living environment in rural areas by sharing profits from power generation and residents participating in the project with consensus for need of renewable energy.

• Journal of Information Technology Applications and Management
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• 제17권4호
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• pp.127-156
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• 2010

Most companies in the IT service industry have suffered from low profitability although this industry is highly value added, which may result in losing the competitiveness of the industry. The purpose of this study is to identify the influencing factors on the profit improvement rate of IT service projects and suggest how to improve the profit improvement rate, thus recovering the competitiveness of the IT service industry. The 273 IT service projects conducted by an IT service company in Korea during the past three years were analyzed and the project managers who performed these projects responded to the questionnaire developed in this study. The result from the analysis of data collected shows that the influencing factors on the profit improvement rate of IT service projects include scheduling, experience in similar projects, the leadership of project leaders, the level of team skills, relationship with clients, and clients support.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 가을 학술논문 발표대회
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• pp.215-216
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• 2022

Profit, the performance of an apartment development project, is directly affected by the sales ratio, unit sale price, financial costs, land costs and construction costs. However, these factors fluctuate in response to changes in the environment, including various stake holders, and the profits fluctuate as a result. In order to ensure that profits are managed within target levels, these factors must be able to be predicted, controlled and monitored and managed up to the start, sale, and end stages of the project. The purpose of this study is to develop a profit risk management model for apartment development projects. The results of this study will contribute to the establishment of academic basis for the dynamic management of project profits that fluctuate with time and environment. And in practice, it will help project developers manage their business revenue to the proper level. In addition, the risks that occur from time to time can be identified quantitatively and visually, and it is expected that it will be easier to derive consensus points for smooth business progress by reducing conflicts of interest among stakeholders.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.213-216
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• 2015

Despite the significant increase of Korean contractors in the international construction market, many SMCCs (Small & Medium Construction Companies) have suffered in the global financial crisis, and some of them have been kicked out of the international market after experiencing huge losses on projects. SMCCs face obstacles in the international market, such as an insufficient ability to gather information and inappropriate management of associated risks, which lead to difficulties in establishing effective business strategies. In other words, making immature decisions without an effective business strategy may cause not only the failure of one project but also the bankruptcy of the SMCC. To overcome this, the research presented herein aims to propose a decision support system for SMCCs, which would screen projects and make a go/no-go decision at the early stages of international projects. The proposed system comprises a double axis: (1) a profit prediction model, which evaluates 10 project properties using an objective methodology based on a historical project performance database and roughly suggests expected profit rate, and (2) a feasibility assessment model, which evaluates 17 project environment factors in a subjective and quantitative methodology based on experience and supervision. Finally, a web-based system is established to enhance the practical usability, which is expected to be a good reference for inexperienced SMCCs to make proper decisions and establish effective business strategies.