scholarly journals A Conceptual Study on the Monte Carlo Simulation for Cost Forecasting in the Green Building Project

2020 ◽  
Vol 5 (13) ◽  
pp. 75
Author(s):  
Faridah Muhamad Halil ◽  
Hafiszah Ismail ◽  
Mohamad Sufian Hasim ◽  
Halim Hashim
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Publishing House ◽  
Green Building ◽  
Qualitative Approach ◽  
Public And Private ◽  
Cost Forecasting ◽  
Conceptual Study ◽  
Public And Private Sector ◽  
Building Project

Monte Carlo Simulation is a mathematical technique that generates random variables for modelling risk. This technique is suitable and benefits to the various client such as public and private sector to evaluate the realistic costing proposed by the Quantity Surveyor. Through this approach, quality of life received by the client in investing budget without waste of propose funding in the construction project. The methodology used is a qualitative approach consist of case study and document analysis. The result shows through Monte Carlo simulation, can predict the worst return from the accuracy of the estimation and given absolute confidence for project development. Keywords: Monte Carlo, Risk Analysis, Cost Prediction, Qualitative Approach eISSN: 2398-4287 © 2020. The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BYNC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia. DOI: https://doi.org/10.21834/e-bpj.v5i13.2101

scholarly journals Monte Carlo Simulation for Cost Forecasting in the Green Building Project

2020 ◽  
Vol 5 (18) ◽  
pp. 33-42
Author(s):  
Faridah Muhamad Halil ◽  
Hafiszah Ismail ◽  
Mohamad Sufian Hasim ◽  
Halim Hashim
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Publishing House ◽  
Green Building ◽  
Qualitative Approach ◽  
Public And Private ◽  
International Publishing ◽  
Cost Forecasting ◽  
Public And Private Sector ◽  
Building Project

Monte Carlo Simulation is a mathematical technique that generates random variables for modelling risk. This technique is suitable and benefits to the various client such as public and private sector to evaluate the costing prepared by the Quantity Surveyor.  The methodology used is a qualitative approach consisting of a case study and document analysis. The result shows through Monte Carlo simulation, can predict the worst return from the accuracy of the estimation and given absolute confidence for project development.  Keywords: Monte Carlo, Risk Analysis, Cost Prediction, Qualitative Approach eISSN 2398-4279 ©2020 The Authors. Published for AMER ABRA cE-Bs by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.DOI:  https://doi.org/10.21834/ajqol.v5i18.204

scholarly journals ANALISIS PENJADWALAN PROYEK GEDUNG BERTINGKAT DENGAN METODE PERT DAN M-PERT MENGGUNAKAN SIMULASI MONTE CARLO

2020 ◽  
Vol 3 (3) ◽  
pp. 533
Author(s):  
Josua Guntur Putra ◽  
Jane Sekarsari
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Standard Deviation ◽  
Research Method ◽  
Probabilistic Approach ◽  
Deterministic Scheduling ◽  
Work Duration ◽  
The Mean ◽  
Building Project ◽  
Story Building

One of the keys to success in construction execution is timeliness. In fact, construction is often late than originally planned. It’s caused by project scheduling uncertainty. Deterministic scheduling methods use data from previous projects to determine work duration. However, not every project has same work duration. The PERT method provides a probabilistic approach that can overcome these uncertainties, but it doesn’t account for the increase in duration due to parallel activities. In 2017, the PERT method was developed into the M-PERT method. The purpose of this study is to compare the mean duration and standard deviation of the overall project between PERT and M-PERT methods and compare them in Monte Carlo simulation. The research method used is to calculate the mean duration of the project with the PERT, M-PERT, and Monte Carlo simulation. The study was applied to a three-story building project. From the results of the study, the standard deviation obtained was 5.079 for the M-PERT method, 8.915 for the PERT method, and 5.25 for the Monte Carlo simulation. These results show the M-PERT method can provide closer results to computer simulation result than the PERT method. Small standard deviation value indicates the M-PERT method gives more accurate results.ABSTRAKSalah satu kunci keberhasilan dalam suatu pelaksanaan konstruksi adalah ketepatan waktu. Kenyataannya, pelaksanaan konstruksi sering mengalami keterlambatan waktu dari yang direncanakan. Hal ini disebabkan oleh ketidakpastian dalam merencanakan penjadwalan proyek. Metode penjadwalan yang bersifat deterministik menggunakan data dari proyek sebelumnya untuk menentukan durasi pekerjaan. Akan tetapi, tidak setiap proyek memiliki durasi pekerjaan yang sama. Metode PERT memberikan pendekatan probabilistik yang dapat mengatasi ketidakpastian tersebut, tetapi metode ini tidak memperhitungkan pertambahan durasi akibat adanya kegiatan yang berbentuk paralel. Pada tahun 2017, metode PERT dikembangkan menjadi metode M-PERT. Tujuan dari penelitian ini adalah membandingkan mean durasi dan standar deviasi proyek secara keseluruhan antara metode PERT dan M-PERT dan membandingkan kedua metode tersebut dalam simulasi Monte Carlo. Metode penelitian yang dilakukan adalah menghitung mean durasi proyek dengan metode PERT, M-PERT, dan simulasi Monte Carlo. Penelitian diterapkan pada proyek gedung bertingkat tiga. Dari hasil penelitian, nilai standar deviasi diperoleh sebesar 5,079 untuk metode M-PERT, 8,915 untuk metode PERT, dan 5,25 untuk simulasi Monte Carlo. Hasil ini menunjukan metode M-PERT dapat memberikan hasil yang lebih mendekati hasil simulasi komputer daripada metode PERT. Nilai standar deviasi yang kecil menunjukan metode M-PERT memberikan hasil yang lebih akurat.

scholarly journals ‘Green’ Building as an Urban Branding Tool: The Israeli Example

2020 ◽  
pp. 1-13
Author(s):  
Elise Machline ◽  
◽  
David Pearlmutter ◽  
Keyword(s):  
Energy Savings ◽  
Green Building ◽  
Developed Countries ◽  
Green Buildings ◽  
Public And Private ◽  
Environmentally Responsible ◽  
Additional Costs ◽  
Urban Branding ◽  
Greenhouse Gas Abatement ◽  
Public And Private Sector

Over the last two decades, greenhouse gas abatement through energy conservation has become a major goal in developed countries. This challenges the building sector to become more environmentally responsible and resource-efficient, especially since it represents a large potential source of energy savings. In recognition of the benefits of green building, an increasing number of countries are devising green strategies for both public and private sector construction. Studies have examined the construction cost “premium” involved in achieving green certification, suggesting that the additional costs are relatively low, around 2% on average. Evidence indicates, however, that “green premia” in terms of rental and sales prices of properties in certified green buildings are systematically higher than 2%. Thus, making ‘green’ buildings affordable to sectors of the population which “need” it the most, will likely depend on government funding.

scholarly journals Level Of ICT Usage and Perceived Attributes among Academicians

2017 ◽  
Vol 2 (2) ◽  
pp. 37
Author(s):  
Marlita Mat Yusof ◽  
Nurhazirah Hashim ◽  
Siti Noraini Mohd Tobi
Keyword(s):  
Structural Equation ◽  
Publishing House ◽  
Equation Model ◽  
Information Communication ◽  
Public And Private ◽  
The Public ◽  
International Publishing ◽  
The Difference ◽  
Public And Private Sector ◽  
Higher Institutions

This study applies Structural Equation Model for ICT usage in Higher Education (Usluel, Askar & Bass 2008) attempts to identify the level of ICT usage among academicians in UiTM and UNISEL, two higher institutions representing the public and private sector respectively. Subsequently, the relationship between the perceived attributes and the level of ICT usage among academicians is presented. This paper compares the difference and the most influential attributes of the aforementioned between the public and private learning institution. This paper concludes that there is a significant relationship between perceived attributes and the level of ICT usage among UITM and UNISEL academicians. However, UiTM registers compatibility whilst UNISEL records observability as their most influential perceived attribute that leads to the level of ICT usage. The findings of this research were made through questionnaire distributed to academicians from both institutions and the analysis was carried out to verify the hypotheses. Keywords: Level of Usage, Information Communication and Technology (ICT), Perceived Attributes, Academician © 2017 The Authors. Published for AMER ABRA by e-International Publishing House, Ltd., UK. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer–review under responsibility of AMER (Association of Malaysian Environment-Behaviour Researchers), ABRA (Association of Behavioural Researchers on Asians) and cE-Bs (Centre for Environment-Behaviour Studies), Faculty of Architecture, Planning & Surveying, Universiti Teknologi MARA, Malaysia.

Electron Scattering in Solids

1990 ◽  
Vol 48 (2) ◽  
pp. 4-5
Author(s):  
Ryuichi Shimizu ◽  
Ze-Jun Ding
Keyword(s):  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Angular Distribution ◽  
Elastic Scattering ◽  
Electron Scattering ◽  
Cross Sections ◽  
Expansion Method ◽  
Electron Excitation ◽  
Partial Wave Expansion ◽  
Backscattered Electrons

Monte Carlo simulation has been becoming most powerful tool to describe the electron scattering in solids, leading to more comprehensive understanding of the complicated mechanism of generation of various types of signals for microbeam analysis.The present paper proposes a practical model for the Monte Carlo simulation of scattering processes of a penetrating electron and the generation of the slow secondaries in solids. The model is based on the combined use of Gryzinski’s inner-shell electron excitation function and the dielectric function for taking into account the valence electron contribution in inelastic scattering processes, while the cross-sections derived by partial wave expansion method are used for describing elastic scattering processes. An improvement of the use of this elastic scattering cross-section can be seen in the success to describe the anisotropy of angular distribution of elastically backscattered electrons from Au in low energy region, shown in Fig.l. Fig.l(a) shows the elastic cross-sections of 600 eV electron for single Au-atom, clearly indicating that the angular distribution is no more smooth as expected from Rutherford scattering formula, but has the socalled lobes appearing at the large scattering angle.

Determination of Stoichiometry of GaAs Component in (Gaas)Ge Epitaxially Grown Thin Films by Electron Microprobe X-Ray Analysis

1990 ◽  
Vol 48 (2) ◽  
pp. 264-265
Author(s):  
D. R. Liu ◽  
S. S. Shinozaki ◽  
R. J. Baird
Keyword(s):  
Thin Film ◽  
Thin Films ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Compound Semiconductors ◽  
Energy Dispersive Analysis ◽  
X Ray ◽  
Metastable Alloys ◽  
Lower Voltage

The epitaxially grown (GaAs)Ge thin film has been arousing much interest because it is one of metastable alloys of III-V compound semiconductors with germanium and a possible candidate in optoelectronic applications. It is important to be able to accurately determine the composition of the film, particularly whether or not the GaAs component is in stoichiometry, but x-ray energy dispersive analysis (EDS) cannot meet this need. The thickness of the film is usually about 0.5-1.5 μm. If Kα peaks are used for quantification, the accelerating voltage must be more than 10 kV in order for these peaks to be excited. Under this voltage, the generation depth of x-ray photons approaches 1 μm, as evidenced by a Monte Carlo simulation and actual x-ray intensity measurement as discussed below. If a lower voltage is used to reduce the generation depth, their L peaks have to be used. But these L peaks actually are merged as one big hump simply because the atomic numbers of these three elements are relatively small and close together, and the EDS energy resolution is limited.

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