• Title/Summary/Keyword: 비용 관리

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A Deep Learning Framework for Prediction of Apartment Repair and Maintenance Costs (아파트 수선유지 비용 예측을 위한 딥러닝 프레임워크 제안)

  • Kim, Ji-Myong;Son, Seunghyun
    • Journal of the Korea Institute of Building Construction
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    • v.24 no.3
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    • pp.355-362
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    • 2024
  • The sustained upkeep of apartment buildings necessitates ongoing maintenance and timely repairs, particularly given their complex nature due to extensive areas, common facilities, and multiple residential and service structures. Additionally, the need for cost-effective maintenance is paramount for ensuring safety, preserving value, and maintaining economic efficiency. However, the multitude of external variables influencing apartment complex maintenance, coupled with the challenges in data collection, have resulted in limited research in this domain. To address this gap, the current study aims to develop a framework for predicting maintenance costs utilizing deep learning techniques, grounded in real-world apartment complex maintenance cost data. This study intends to provide a practical and valuable contribution to the field of apartment complex management, empowering stakeholders with enhanced predictive capabilities for optimizing maintenance strategies and resource allocation.

User Costs Evaluation due to the Bridge Reconstruction Period (교량의 재가설 공사기간에 따른 사용자비용 평가)

  • Kim, Sang Hyo;Park, Se Jun;Lee, Dong Ho;Ahn, Jin Hee
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.15 no.1
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    • pp.148-158
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    • 2011
  • As critical infrastructure, bridges play an indispensable role in facilitating the distribution of goods. When bridges reach their end of useful life or get damaged by natural disasters such as earthquakes or storms, they have to be removed and reconstructed. When bridges in service need to be reconstructed, user costs occur from vehicle detours and traffic congestions, and social costs occur from noise and dust during construction periods. However, these user and social costs are not considered during reconstruction and the evaluation methods of those costs are vague. Thus, there is lack of appropriate bridge types that consider these costs. Therefore, this paper identifies the social overhead costs that occur during bridge reconstruction, which is also called, users' socioeconomic values. Next, it proposes a method to evaluate user costs during bridge reconstruction, and appraises the method. User costs are evaluated based on traffic information, social and material volumes including the bridge's daily traffic volume, peak hours, detour distance and time. In addition, time delay costs due to traffic operational costs and bridge reconstruction are also taken into consideration.

Development of Cost-Benefit Analysis Model for GIS Projects (GIS사업의 비용편익분석 모형개발)

  • Kim, Jung-Ok;Heo, Yong;Yu, Ki-Yun
    • Journal of Korean Society for Geospatial Information Science
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    • v.12 no.1 s.28
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    • pp.79-85
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    • 2004
  • The GIS(Geographic Information System) projects require big initial investment and cost of maintenance. Decision makers would not launch GIS projects unless they are convinced of the benefits of the projects. Therefore the purpose of this paper is to develop an appropriate model for GIS project evaluation. We proposed a GIS project evaluation model and summarize the steps involved in Cost-Benefit Analysis(CBA). The costs of a GIS implementation include hardware and software cost, costs of database development, training expenses, annual maintenance expenses, and other annual expenses. The benefit by using GIS has been assessed into Type I(direct benefits), Type II(indirect benefits), Type III(benefits that result from the sale of information services), Type IV(intangible benefits).

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An Improved Facility Management System for Public Facility Management Corporations (공공 시설관리기관의 시설관리시스템 개선에 관한 연구)

  • Kim, ChangDuk;Lee, HyunChul
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.1
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    • pp.32-42
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    • 2018
  • The importance of facility maintenance management cannot be overemphasized in that not only the value but also the performance of the facility is determined by the level of maintenance. The maintenance cost of the facility ranges from 3 to 10 times the initial construction cost depending the type and use of the facility over the life span. This maintenance importance is increased for the group of facilities and even more critical when the facilities compete for the limited budget with the limited resources such as manpower and equipment. This study analyzed sixteen public facility management corporations primarily for three items: 1) facility management system, 2) long-term rehabilitation plan, 3) the rehabilitation selection system. This paper provides and recommends the key elements of the facility maintenance management system based on the analysis of the sixteen corporations.

A Study on Minimizing of Condenser Pressure Loss according to the Temperature Rise of the Seawater for Korean Standard Coal-fired Power Plants (표준석탄화력 발전소 해수온도 상승에 따른 복수기 압력 손실 최소화 방안)

  • An, Hyo-Yoel;Moon, Seung-Jae
    • Plant Journal
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    • v.11 no.2
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    • pp.45-51
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    • 2015
  • In this paper, studied condenser operating management which is affecting power plants efficiency considering the cost of poor quality. Sea water temperature and condenser pressure have clear correlation in S power plants. As the sea water temperature changes, condenser pressure changed -1.7~+20 mmHg from design condenser pressure(38.1 mmHg). Use the heat rate correction curve from manufactory company, realized that efficiency and cost of poor quality changed 0.0201%, 12,830 won/h at Unit #1,2 but 0.0155%, 9,832 won/h when condenser pressure 1 mmHg rise. Also, checked that it is changed depend on seasonal corresponding operation, plant ageing and the point of preventive maintenance like overhaul maintenance. This study said if we considered complying with management range and planning overhaul maintenance, then it could help reducing operating maintenance losses minimum 2.5 billion won per 1 year (case : Unit #1, forty days maintenance).

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Cost Management System for Mechanical, Electrical, and Plumbing(MEP) Coordination Using Building Information Modeling(BIM) - A Case Study (BIM 기반 MEP 설계 조율 프로세스 분석을 통한 비용 관리 시스템 개발 사례 연구)

  • Won, Jongsung;Ham, Sungil;Jang, Sejun
    • Journal of the Korea Institute of Building Construction
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    • v.22 no.2
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    • pp.195-205
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    • 2022
  • This paper aims to propose a cost-based mechanical, electrical, and plumbing(MEP) coordination process using building information modeling(BIM). The proposed process can help project participants eliminate identified clashes between the MEP elements, analyze trends relating to MEP costs during the coordination process, and share their findings. MEP quantity-related information extracted through BIM was integrated with the cost database and schedule information. To check the applicability of the proposed process, it was applied to a construction project in South Korea. Through the application of the proposed process, MEP-related cost was reduced.

Infrastructure Asset Management Policy and Strategy Development (사회기반시설물 유지관리를 위한 자산관리체계 도입 전략)

  • Chin, Kyung-Ho;Chae, Myung-Jin;Lee, Giu;Lee, Kyo-Sun
    • Korean Journal of Construction Engineering and Management
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    • v.10 no.6
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    • pp.67-77
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    • 2009
  • Infrastructure asset management can be defined as the long term and cost effective management strategy to meet the required service level. In most developed countries, the major motivations of the introduction of asset management are increment in number of assets, extension of maintenance field, accounting approaches of public facilities, performance-based FM(Facility Management), limitations of public funds and public-private partnership, life cycle cost approach, and the development of information technology. This paper discusses the strategic and stepwise methods of introducing infrastructure asset management. Strategic approaches are suggested to develop the practical methods of condition and value assessment of assets, and long-term capital investment plan for optimized decision making(ODM). Required systematic processes are analyzed in terms of resource and technical limitations and detailed implementation plan for each development phases are suggested.

Comparison of Raw Material Inventory Management Policies for a Precast Concrete Production Plant (프리캐스트 콘크리트 제작공장에 대한 원자재 재고관리 정책 비교)

  • Kwon, Hyeonju;Jeon, Sangwon;Lee, Jaeil;Jeong, Keunchae
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.5
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    • pp.41-54
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    • 2024
  • In this study, we compare and analyze the performance of three inventory management policies for raw material inventory management in a Precast Concrete production plant: Fixed Order Quantity Policy (FOQP), Fixed Order Interval Policy (FOIP), and (s, S) Ordering Policy (sSOP). In order to make more realistic conclusion, we developed and utilized the ARENA simulation model, a performance evaluation tool that considers the variance of raw material demand and supply for the entire production process in a PC production plant using multiple raw materials. For the three policies, reorder point, order quantity, target level, and order interval parameters were initialized by using Economic Order Quantity (EOQ) model and then optimized through OptQuest. As a result of optimization, inventory management costs were reduced by an average of 97.28% compared to the EOQ model that does not consider the variance of demand and supply. After setting three influencing factors, Project Occurrence Cycle (POC), Raw Material Lead-time (RML), and Unit Stock-out Cost (USC), a performance evaluation was conducted for the three policies. As a result of evaluation, the inventory management costs of FOQP and sSOP, which determine order intervals by considering inventory levels by real-time or daily, were 30.6% and 27.9% lower than FOIP with fixed order intervals respectively. In addition, inventory management costs were affected by RML and USC factors excluding POC, but the differences were 2.17% and 2.09% respectively, which were not large due to the optimization of parameters for responding the variance of raw material demand and supply.