• 제목/요약/키워드: Resource cost

검색결과 1,424건 처리시간 0.022초

건설자재의 적정 리드타임 산정에 관한 연구 (A Study on Optimal Lead Time Selection Measures of the Construction Materials)

  • 이상범
    • 한국건축시공학회지
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    • 제4권1호
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    • pp.105-110
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    • 2004
  • Resource procurement is an important management area because cost of resource covers 40% of total construction project cost and resource delivery has direct relationship with project performance. Integration of cost provides various potentials for effective and efficient project control. This study investigates the usefulness of time in resource procurement management focused on materials. These days, construction projects have characterized manufacture because of industrialization and component. Therefore, application of systematic resource planning has been requested in the construction. There are many companies conducting procurement of resource on the web by applying MRP, ERP etc. in the construction. However, in applying them in the construction yet, there is obstruction. MRP has the character doing its function under accurate cost prediction of resource. But prediction of resource is difficult in industry mechanism of the construction. If accurate cost prediction of resource is possible in the construction, it will be expected to reduce cost of procurement of resource substantially by applying successful resource planning model in the manufacture. On the basis of recent current, the purpose of study is to present procurement of resource system that period observance of construction and minimization of stock is possible by reflecting accurate lead-time to apply proactive thought to be able to cope with alteration of construction schedule efficiently in analyzing resource planning of the construction site.

부모의 결혼자금 지원과 경제자원 이전: 20-40대 기혼여성 가정을 중심으로 (Parental Support for Cost of Marriage Formation and Financial Resource Transfers)

  • 고선강
    • 가족자원경영과 정책
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    • 제16권3호
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    • pp.1-19
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    • 2012
  • The purpose of this study is to identify the factors that influence financial transfers between married women aged 20-40 and their parents and parents-in-law. In particular, we examine whether there is any reciprocity between parental support for the cost of marriage formation and financial resource transfers from married children to their parents and parents-in-law. Data from the 2009 wave of the Survey of Marriage and Childbirth were analyzed. Among married women who have been married for over 16 years, we find that the probability of them giving financial resources to their parents increases in line with the parental support they received to help their marriage formation cost. Therefore, we confirm that there is reciprocity between parental support for the cost of marriage formation cost and children's financial support provision for parents.

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Resource-constrained Scheduling at Different Project Sizes

  • Lazari, Vasiliki;Chassiakos, Athanasios;Karatzas, Stylianos
    • 국제학술발표논문집
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    • The 9th International Conference on Construction Engineering and Project Management
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    • pp.196-203
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    • 2022
  • The resource constrained scheduling problem (RCSP) constitutes one of the most challenging problems in Project Management, as it combines multiple parameters, contradicting objectives (project completion within certain deadlines, resource allocation within resource availability margins and with reduced fluctuations), strict constraints (precedence constraints between activities), while its complexity grows with the increase in the number of activities being executed. Due to the large solution space size, this work investigates the application of Genetic Algorithms to approximate the optimal resource alolocation and obtain optimal trade-offs between different project goals. This analysis uses the cost of exceeding the daily resource availability, the cost from the day-by-day resource movement in and out of the site and the cost for using resources day-by-day, to form the objective cost function. The model is applied in different case studies: 1 project consisting of 10 activities, 4 repetitive projects consisting of 40 activities in total and 16 repetitive projects consisting of 160 activities in total, in order to evaluate the effectiveness of the algorithm in different-size solution spaces and under alternative optimization criteria by examining the quality of the solution and the required computational time. The case studies 2 & 3 have been developed by building upon the recurrence of the unit/sub-project (10 activities), meaning that the initial problem is multiplied four and sixteen times respectively. The evaluation results indicate that the proposed model can efficiently provide reliable solutions with respect to the individual goals assigned in every case study regardless of the project scale.

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프로젝트 일정과 자원 평준화를 포함한 다목적 최적화 문제에서 순차적 자원 감소에 기반한 파레토 집합의 생성 (Generation of Pareto Sets based on Resource Reduction for Multi-Objective Problems Involving Project Scheduling and Resource Leveling)

  • 정우진;박성철;임동순
    • 산업경영시스템학회지
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    • 제43권2호
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    • pp.79-86
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    • 2020
  • To make a satisfactory decision regarding project scheduling, a trade-off between the resource-related cost and project duration must be considered. A beneficial method for decision makers is to provide a number of alternative schedules of diverse project duration with minimum resource cost. In view of optimization, the alternative schedules are Pareto sets under multi-objective of project duration and resource cost. Assuming that resource cost is closely related to resource leveling, a heuristic algorithm for resource capacity reduction (HRCR) is developed in this study in order to generate the Pareto sets efficiently. The heuristic is based on the fact that resource leveling can be improved by systematically reducing the resource capacity. Once the reduced resource capacity is given, a schedule with minimum project duration can be obtained by solving a resource-constrained project scheduling problem. In HRCR, VNS (Variable Neighborhood Search) is implemented to solve the resource-constrained project scheduling problem. Extensive experiments to evaluate the HRCR performance are accomplished with standard benchmarking data sets, PSPLIB. Considering 5 resource leveling objective functions, it is shown that HRCR outperforms well-known multi-objective optimization algorithm, SPEA2 (Strength Pareto Evolutionary Algorithm-2), in generating dominant Pareto sets. The number of approximate Pareto optimal also can be extended by modifying weight parameter to reduce resource capacity in HRCR.

캘리포니아 표준 테스트 방법을 사용한 압전 발판의 경제성 분석 (Economic Analysis of the Piezoelectric Power using the California Standard Test)

  • 정순성
    • 동력기계공학회지
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    • 제21권4호
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    • pp.51-56
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    • 2017
  • The purpose of this study is to suggest economic analysis for piezoelectric power. Economic analysis method uses california standard test. Perspectives of california standard test is participant test, ratepayer impact measure test, program administrator cost test and total resource cost test. This study identifies the cost and benefit components. This study identifies benefit-cost calculation procedures from four test : participant test, ratepayer impact measure test, program administrator cost test and total resource cost test. In the economic analysis, the order of benefit cost ratio in piezoelectric power shows total resource cost test, program administrator cost test, ratepayer impact measure test and participant test.

반복공정 최적 공법대안 선정 방법 (Optimizing Construction Alternatives for Repetitive Scheduling)

  • 박상민;이동은
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2015년도 춘계 학술논문 발표대회
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    • pp.132-133
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    • 2015
  • Efficient scheduling and resource management are the key factor to reduce construction project budget (e.g., labor cost, equipment cost, material cost, etc.). Resource-based line of balance (LOB) technique has been used to complement the limitations of time-driven scheduling techniques (e.g., critical-path method). Optimizing construction alternatives contributes cost savings while honoring the project deadline. However, existing LOB scheduling is lack of identifying optimal resource combination. This study presents a method which identifies the optimal construction alternatives, hence achieving resource minimization in a repetitive construction by using genetic algorithm (GA). The method provides efficient planning tool that enhances the usability of the system.

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Optimizing Construction Alternatives for Scheduling Repetitive Units

  • Park, Sang-Min;Lee, Dong-Eun
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.158-160
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    • 2015
  • Efficient scheduling and resource management are the key factor to reduce construction project budget (e.g., labor cost, equipment cost, material cost, etc.). Resource-based line of balance (LOB) technique has been used to complement the limitations of existing time-driven scheduling techniques (e.g., critical-path method). Optimizing construction alternatives contributes to cost savings while honoring the project deadline. However, existing LOB scheduling is lack of identifying optimal resource combination. This study presents a method which identifies the optimal construction alternatives, hence achieving resource minimization in a repetitive construction by using genetic algorithm (GA). The method provides efficient planning tool that enhances the usability of the system.

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A Dual-Population Memetic Algorithm for Minimizing Total Cost of Multi-Mode Resource-Constrained Project Scheduling

  • Chen, Zhi-Jie;Chyu, Chiuh-Cheng
    • Industrial Engineering and Management Systems
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    • 제9권2호
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    • pp.70-79
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    • 2010
  • Makespan and cost minimization are two important factors in project investment. This paper considers a multi-mode resource-constrained project scheduling problem with the objective of minimizing costs, subject to a deadline constraint. A number of studies have focused on minimizing makespan or resource availability cost with a specified deadline. This problem assumes a fixed cost for the availability of each renewable resource per period, and the project cost to be minimized is the sum of the variable cost associated with the execution mode of each activity. The presented memetic algorithm (MA) consists of three features: (1) a truncated branch and bound heuristic that serves as effective preprocessing in forming the initial population; (2) a strategy that maintains two populations, which respectively store deadline-feasible and infeasible solutions, enabling the MA to explore quality solutions in a broader resource-feasible space; (3) a repair-and-improvement local search scheme that refines each offspring and updates the two populations. The MA is tested via ProGen generated instances with problem sizes of 18, 20, and 30. The experimental results indicate that the MA performs exceptionally well in both effectiveness and efficiency using the optimal solutions or the current best solutions for the comparison standard.

원전건설 물량데이터를 활용한 사업비관리 방안 (A Study of Cost Management Utilizing Resource Quantity Data in Nuclear Power Plant Construction Project)

  • 이상현
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2017년도 추계 학술논문 발표대회
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    • pp.185-186
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    • 2017
  • Even large construction projects of nuclear power plant construction and production data is increasing dramatically due to the introduction of ICT technologies, such as 3D scanning technology, wireless communication technology, virtual construction management technology. There are various attributes and types of data to be produced and managed because the documents generated by the contract method are different from the cost processing method. According to the requirements of the international nuclear bid, it is required to present the cost that is calculated based on resource quantity. This research considers ways in which the cost management based on the resource quantity.

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마이크로서비스 아키텍처의 배포 비용을 최적화하는 알고리즘 (An Algorithm to Optimize Deployment Cost for Microservice Architecture)

  • 리즈앙
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2020년도 제62차 하계학술대회논문집 28권2호
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    • pp.387-388
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    • 2020
  • As the utilization of microservice architectural style in diverse applications are increasing, the microservice deployment cost became a concern for many companies. We propose an approach to reduce the deployment cost by generating an algorithm which minimizes the cost of basic operation of a physical machine and the cost of resources assigned to a physical machine. This algorithm will produce optimal resource allocation and deployment location based on genetic algorithm process.

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