scholarly journals Optimasi Biaya dan Waktu Proyek Konstruksi dengan Lembur dan Penambahan Tenaga Kerja

2021 ◽  
Vol 17 (1) ◽  
pp. 35-46
Author(s):  
Dinda Fardila ◽  
Nuur Robbyatul Adawyah
Keyword(s):  
Data Analysis ◽  
Cost Efficiency ◽  
Time Cost ◽  
Optimum Time ◽  
Time Efficiency ◽  
Project Cost ◽  
Trade Off ◽  
The Cost ◽  
Total Project Cost ◽  
Total Project

ABSTRACT                                                                         In the construction of a construction project, there are three main elements: time efficiency, minimal costs, and appropriate quality. This study aims to calculate changes in the cost and time of project implementation with variations in overtime and additional workforce. Data analysis using Microsoft Project 2010 program and Time-Cost Trade-Off method. The results of this study indicate that (1) the optimum time and costs due to overtime are obtained at the project age of 235 working days with a total project cost of IDR 8,438,038,832 with a project time efficiency of 5 days (2.13%) and a project cost efficiency of IDR 3.559,695 (0.042%). (2) The optimum time and cost due to the addition of labor is the best choice with the results obtained at the project age of 226 working days with a total project cost of IDR 8,429,832,759 with a project time efficiency of 14 days (6.19%) and cost-efficiency. project amounting to Rp. 11,779,674 (0.14%). ABSTRAKDalam pelaksanaan pembangunan suatu proyek konstruksi, terdapat tiga unsur utama yaitu waktu yang efisien, biaya minimal dan mutu yang sesuai. Tujuan dari penelitian ini adalah menghitung perubahan biaya dan waktu pelaksanaan proyek dengan variasi lembur dan penambahan tenaga kerja. Analisis data menggunakan program Microsoft Project 2010 dan metode Time Cost Trade Off. Hasil penelitian ini menunjukkan bahwa (1) Waktu dan biaya optimum akibat lembur didapat pada umur proyek 235 hari kerja dengan total biaya proyek sebesar Rp8.438.038.832 dengan efisiensi waktu proyek sebanyak 5 hari (2,13%) dan efisiensi biaya proyek sebesar Rp3.559.695 (0,042%). (2) Waktu dan biaya optimum akibat penambahan tenaga kerja menjadi pilihan terbaik dengan hasil yang didapat pada umur proyek 226 hari kerja dengan total biaya proyek sebesar Rp8.429.832.759 dengan efisiensi waktu proyek sebanyak 14 hari (6,19%) dan efisiensi biaya proyek sebesar Rp11.779.674 (0,14%).

scholarly journals Kajian Pengaruh Percepatan Waktu Pekerjaan Konstruksi Terhadap Biaya Proyek Bess Mansion Apartement Surabaya

2019 ◽  
Vol 2 (2) ◽  
pp. 69
Author(s):  
Adi Aprian Jaya ◽  
Kusnul Yakin ◽  
Maulidya Octaviani Bustamin
Keyword(s):  
Secondary Data ◽  
Working Hours ◽  
Project Work ◽  
Time Cost ◽  
Trade Off ◽  
Overtime Work ◽  
Critical Paths ◽  
The Cost ◽  
Total Project

In the implementation of construction project activities there are thre things that influence the success and failure of the project: time, cost and quality. The success of a project is usually seen from the timing of completion which is relatively short but without neglecting the quality of the project work. Appropriate and targeted project management and management are required to ensure the time, cost, and quality of the project. This is certainly to avoid a variety of undesirable things such as late settlement, swelling costs, quality failures, and so on that could have an impact on project failure and the emergence of the cost of fines. The purpose of this study is to calculate changes in cost and time of project implementation with alternatives to additional working hours (overtime) comparing the results between normal and cost changes after the addition of working hours (overtime). The data used in this research is secondary data obtained from contractor implementing. Arrow diagram The results program are critical paths and cost increases due to the addition of working hours (overtime) while the result of the time cost trade off method is the acceleration of duration and the increased cost due to the acceleration of duration in any accelerated activity. The results of this study indicate that the total project time and cost under normal conditions is 508 days at a cost of Rp 22.240.655.701  with the addition of 3 hours of overtime work in the duration of crashing 485 days and at a cost of Rp 23.252.220.373,34

Improving the flood control at a lower cost for a future Hydro-Québec hydroelectric facility on the Toulnustouc River, Canada

2003 ◽  
Vol 30 (4) ◽  
pp. 775-779 ◽  
Author(s):  
M Gaudette ◽  
G Bulota
Keyword(s):  
Flood Control ◽  
Lower Cost ◽  
Additional Cost ◽  
Control Cost ◽  
Project Cost ◽  
New Approach ◽  
Reservoir Volume ◽  
Total Project Cost ◽  
Total Project

Prior to the construction of a new hydroelectric facility on the Toulnustouc River, Quebec, Canada, optimization was carried out on the dams and spillway design, resulting in a CAN$6 million reduction in the total project cost while improving flood control. This result was obtained using a new approach to the design of civil works, in which the dam and spillway were in complete interaction with one another. In this approach, the possibility of increasing the freeboard of the dams more than that usually required by Hydro-Québec criteria was allowed. The additional freeboard or reservoir volume is strictly assigned to flood control to reduce the maximum released discharge to existing downstream facilities. The raising of dam crests generates additional cost that is more than compensated for by a reduction in spillway capacity and cost.Key words: flood, control, cost, spillway, dam, optimization, security, freeboard.

scholarly journals Cost Optimal Project Scheduling

Organizacija ◽  
2008 ◽  
Vol 41 (4) ◽  
pp. 153-158
Author(s):  
Uroš Klanšek ◽  
Mirko Pšunder
Keyword(s):  
Nonlinear Programming ◽  
Objective Function ◽  
Project Scheduling ◽  
Programming Approach ◽  
Project Duration ◽  
Numerical Example ◽  
Activity Duration ◽  
The Cost ◽  
Total Project Cost ◽  
Total Project

Cost Optimal Project SchedulingThis paper presents the cost optimal project scheduling. The optimization was performed by the nonlinear programming approach, NLP. The nonlinear total project cost objective function is subjected to the rigorous system of the activity precedence relationship constraints, the activity duration constraints and the project duration constraints. The set of activity precedence relationship constraints was defined to comprise Finish-to-Start, Start-to-Start, Start-to-Finish and Finish-to-Finish precedence relationships between activities. The activity duration constraints determine relationships between minimum, maximum and possible duration of the project activities. The project duration constraints define the maximum feasible project duration. A numerical example is presented at the end of the paper in order to present the applicability of the proposed approach.

scholarly journals The Analysis of Cost Estimation using Cost Significant Model on Bridge Construction in South Sulawesi

2021 ◽  
Vol 921 (1) ◽  
pp. 012073
Author(s):  
E Aprianti ◽  
S Hamzah ◽  
M A Abdurrahman
Keyword(s):  
Regression Analysis ◽  
Cost Estimation ◽  
Construction Projects ◽  
Steel Frame ◽  
Bridge Construction ◽  
South Sulawesi ◽  
The Cost ◽  
Total Project Cost ◽  
Total Project ◽  
Significant Model

Abstract One of the fundamental problems faced by the province of South Sulawesi is the factor of accessibility, so the role of bridges is quite important. For this reason, the budget planning for standard bridge construction projects also needs to be efficient in terms of preparation and accurate in terms of budget. The Cost Significant Model is one of the total construction cost estimation models that relies more on the prices that have the most influence on the total project cost as the basis for estimation. In general, this study uses data from steel frame bridge construction projects in South Sulawesi Province to formulate a mathematical model with linear regression analysis so that it can be used in the process of estimating similar projects going forward. The Estimation Model which is formed from the regression analysis and the Cost Significant Model in this study, namely; Y = 3.884 (X7) + 0.989 (X8) - 65515.372. With; Y = Estimated Total Cost (Rp/m); X7 = Reinforcement Work Cost (Rp/m); X8 = Steel Frame Structure Work Cost (Rp/m). Where this model can explain 99.7% of the total project cost with a cost model factor of 1.038. The level of accuracy (percentage error estimate) of the estimation results of the Cost Significant Model in this study ranges from - 1.46% to +2.45%.

scholarly journals Elemental geochemistry of the Upper Cretaceous reservoir and surrounding formations applied in geosteering of horizontal wells, Lebăda Field – Western Black Sea

2020 ◽  
Vol 76 ◽  
pp. 1
Author(s):  
Ionuţ Mihai Prundeanu ◽  
Ciprian Chelariu ◽  
David Rafael Contreras Perez
Keyword(s):  
Horizontal Wells ◽  
Cost Effective ◽  
Geochemical Data ◽  
Elemental Geochemistry ◽  
Solid Foundation ◽  
A New Technique ◽  
The Cost ◽  
Mineral Concentrations ◽  
Total Project Cost ◽  
Total Project

The precise landing and steering of horizontal wells using conventional mudlogging and Logging While Drilling (LWD) data is a particular challenge for the Lebăda Field, offshore Romania. The use of a new technique of elemental geochemistry analysis (or chemosteering) became an option for the identification of Cenomanian, Turonian–Coniacian–Santonian, Campanian and Eocene strata. This has enabled more accurate placement of the horizontal development wells within the desired reservoir target interval. Geochemical data enabled the identification of chemostratigraphic zones C1, C2, C3 and zone R that correspond to the reservoir section. The application is a result of the geochemical zonation performed using elements and ratios that are sensitive to depositional environment, sea level change, heavy mineral concentrations and siliciclastic input namely: Sr/Ca, Zr/Th, Si/Zr and Si/K. In ascending stratigraphic order, the ratio thresholds of zone C3 are Zr/Th > 11, Sr/Ca > 1.1, Si/Zr < 22 and Si/K < 19, while zone R corresponds to 5.5 < Zr/Th < 11, Sr/Ca < 1.1, Si/Zr > 22 and Si/K > 19. C2 zone is defined by Zr/Th < 5.5, Sr/Ca > 1.1, Si/Zr < 22 and Si/K < 19 and C1 zone is characterized by Si/Zr > 22 and Si/K > 19. The selected geochemical ratios indicate a strong geochemical zonation. In the case of offset wells, 85.9% of the data confirmed the proposed classification and 89.4% for the real-time application case. The zone R shows a strong contrast with the surrounding formations facilitating critical decisions during well placement and geosteering, increasing the reservoir exposure by 28%. The quantitative approach delivered very valuable results, providing a solid foundation to define correlation and well landing intervals. Simultaneously, the cost of the method represents a fraction of the LWD cost and 0.15% of the total project cost, making it very cost effective and a standard approach for future projects.

The Project Scheduling Game (PSG): Simulating Time/Cost Trade-Offs in Projects

2005 ◽  
Vol 36 (1) ◽  
pp. 51-59 ◽  
Author(s):  
Mario Vanhoucke ◽  
Ann Vereecke ◽  
Paul Gemmel
Keyword(s):  
Project Scheduling ◽  
Critical Path ◽  
Real Life ◽  
Network Activity ◽  
Simulation Game ◽  
Time Cost ◽  
Life Project ◽  
Trade Offs ◽  
Total Project Cost ◽  
Total Project

The Project Scheduling Game is an IT-supported simulation game that illustrates the complexity of scheduling a real-life project. The project is based on a sequence of activities for a large real-life project at the Vlaamse Maatschappij voor Watervoorziening, which aims at the expansion of the capacity to produce purified water. The basic problem type that we use in the game has been described in the literature as a CPM (critical path method) network problem, and focuses on the time/cost relationship in each activity of the project. Indeed, by allocating resources to a particular activity, the manager decides about the duration and corresponding cost of each network activity. The manager schedules the project with the negotiated project deadline in mind, focusing on the minimization of the total project cost.

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