scholarly journals ANALISIS PENGARUH PEMILIHAN JENIS BEKISTING TERHADAP DURASI DAN BIAYA PELAKSANAAN PEKERJAAN STRUKTUR PROYEK X

2021 ◽  
Vol 4 (4) ◽  
pp. 887
Author(s):  
Wilsen Hartanto Lim ◽  
Arianti Sutandi
Keyword(s):  
Completion Time ◽  
Construction Project ◽  
Additional Cost ◽  
Time Study ◽  
Project Implementation ◽  
Project Duration ◽  
Completion Date ◽  
In The Beginning ◽  
Expected Duration

ABSTRACTThe planed duration of  construction Project X was 730 days with the upper structure targeted to be finished in July 2020. There was delay in the beginning of project implementation and the expected duration became 745 days,  the upper structure completion date pushed back to October 2020. In order to keep in line with target, one of the alternatives was to change the formwork material from conventional to aluminium. By applying this change, there was a need to study the effects to the project duration, the upper structure finish date, and the additional cost. To calculate the project duration, and the labour coefficient of productivity using the motion and time study method, the completion time of aluminium formwork work is required. From the calculation, it can be concluded that it was more effective to apply an 8-zone of formwork division in every storey,  which will result in 711 days of project duration and the upper structure finish date will be in August 2020. The costs for the aluminium formwork which consisted of materials and labour fees amounted to Rp 7,991,548,555 or higher by Rp 1,000,000,000 compared to conventional formwork. ABSTRAKTarget durasi pekerjaan konstruksi proyek X adalah 730 hari dengan target waktu selesai pekerjaan struktur atas pada bulan Juli 2020. Pada awal pelaksanaan proyek terjadi keterlambatan sehingga diperkirakan menghasilkan durasi proyek 745 hari dan waktu selesai pekerjaan struktur atas menjadi Oktober 2020. Untuk mengejar target proyek, salah satu alternatif yang dapat dilakukan adalah dengan mengganti jenis material bekisting dari konvensional menjadi aluminium. Sehingga dengan penggantian tersebut perlu dilakukan studi pengaruh penggantian jenis bekisting terhadap durasi proyek, waktu selesai pekerjaan struktur atas, dan biaya pekerjaan bekisting. Untuk menghitung durasi proyek, dan koefisien tenaga kerja yang dilakukan dengan metode motion and time study diperlukan waktu pekerjaan bekisting aluminium. Dari perhitungan durasi proyek diperoleh waktu yang lebih efektif adalah dengan pembagian 8 zona yang menghasilkan durasi proyek 711 hari dan waktu selesai pekerjaan struktur atas adalah Agustus 2020. Untuk biaya pekerjaan bekisting aluminium yang terdiri dari biaya material dan biaya upah tenaga kerja didapatkan total biaya adalah Rp 7,991,548,555 atau lebih besar sekitar Rp 1,000,000,000 dibandingkan dengan bekisting konvensional. 

scholarly journals Project Management Monitoring Based on Expected Duration Entropy

Entropy ◽  
2020 ◽  
Vol 22 (8) ◽  
pp. 905
Author(s):  
Shiva Cohen Kashi ◽  
Shai Rozenes ◽  
Irad Ben-Gal
Keyword(s):  
Completion Time ◽  
Information Gain ◽  
Small Scale ◽  
Project Duration ◽  
Project Completion ◽  
Actual Duration ◽  
Numerical Experimentation ◽  
Completion Date ◽  
Inaccurate Estimation ◽  
Expected Information Gain

Projects are rarely executed exactly as planned. Often, the actual duration of a project’s activities differ from the planned duration, resulting in costs stemming from the inaccurate estimation of the activity’s completion date. While monitoring a project at various inspection points is pricy, it can lead to a better estimation of the project completion time, hence saving costs. Nonetheless, identifying the optimal inspection points is a difficult task, as it requires evaluating a large number of the project’s path options, even for small-scale projects. This paper proposes an analytical method for identifying the optimal project inspection points by using information theory measures. We search for monitoring (inspection) points that can maximize the information about the project’s estimated duration or completion time. The proposed methodology is based on a simulation-optimization scheme using a Monte Carlo engine that simulates potential activities’ durations. An exhaustive search is performed of all possible monitoring points to find those with the highest expected information gain on the project duration. The proposed algorithm’s complexity is little affected by the number of activities, and the algorithm can address large projects with hundreds or thousands of activities. Numerical experimentation and an analysis of various parameters are presented.

scholarly journals AKURASI PREDIKSI DURASI PENYELESAIAN PROYEK DENGAN EARN VALUE MANAGEMENT DAN EARN SCHEDULE (STUDI KASUS PROYEK BANGUNAN GEDUNG DI UNESA)

2018 ◽  
Vol 14 (2) ◽  
pp. 169-179
Author(s):  
Gde Agus Yudha Prawira Adistana ◽  
Purwo Mahardi ◽  
Mochamad Firmansyah Sofianto ◽  
Dian Eksana Wibowo
Keyword(s):  
Completion Time ◽  
Construction Project ◽  
Real Data ◽  
Value Management ◽  
Actual Cost ◽  
Project Implementation ◽  
The Real ◽  
Building Project

ABSTRACT The earn value method (EVM) has been widely recognized and proven to provide an overview of the performance of construction project implementation from the aspects of time and schedule. Specifically EVM is used to evaluate the progress of the work, so identification of deviations both on time and cost can be done early.The Earn Schedule (ES) method is an elaboration to the schedule analysis on the EVM method. This study aimed to examine and compare the capability of the two methods, namely the earn value and earn schedule methods in predicting the completion time of construction project. The research used the real data from the Unesa building project. The results showed that at week 9, the value of CPI was 1.15 or had a variant cost of 13.32% lower than the planned budget. While for the schedule aspect, both methods indicated a delay in the project with the delay variant of 0.16%. The ES method is able to give information of how long the delay in time unit of 0.02 week.Keywords: accuration, actual cost, earn value, earn schedule,  planed value  ABSTRAKMetode nilai hasil (EVM) telah dikenal luas dan terbukti mampu memberikan gambaran kinerja pelaksanaan proyek konstruksi dari aspek waktu dan jadwal. Secara khusus EVM digunakan untuk mengevaluasi progress pekerjaan sehingga dapat dilakukan identifikasi lebih awal terhadap penyimpangan baik terhadap waktu maupun biaya. Metode Earn Schedule (ES) merupakan pendalaman terhadap analisis jadwal pada metode EVM. Penelitian ini dilakukan untuk menguji dan membandingkan kemampuan dua metode yaitu metode earn value dan earn schedule dalam memprediksi waktu penyelesaian proyek konstruksi. Data penelitian menggunakan data pelaksanaan dari pembangunan proyek bangunan gedung di Unesa. Hasil penelitianmenunjukkan bahwa pada minggu ke-9, nilai CPI adalah sebesar 1,15 atau memiliki varian biaya sebesar 13,32% lebih rendah dari anggaran yang direncanakan. Sedangkan dari aspek jadwal, kedua metode mengindikasikan bahwa terjadi keterlambatan pada proyek yaitu dengan varian keterlambatan sebesar 0,16% . Metode ES mampu memberikan informasi berapa lama keterlambatan yang terjadi dalam satuan waktu yaitu sebesar 0,02 minggu. Kata Kunci: akurasi, biaya aktual, nilai hasil, earn schedule, biaya rencana

scholarly journals STUDY AND APPLY ACO ALGORITHM IN TIME-COST OPTIMIZATION OF CONSTRUCTION PROJECT

2010 ◽  
Vol 13 (1) ◽  
pp. 17-30
Author(s):  
Luan Hong Pham ◽  
Nhan Thanh Duong
Keyword(s):  
Cost Optimization ◽  
Construction Project ◽  
Heuristic Method ◽  
Ant Colony ◽  
Ant Colony System ◽  
Time Cost ◽  
Project Duration ◽  
Proposed Model ◽  
Feasible Solutions ◽  
Computational Resources

Time-cost optimization problem is one of the most important aspects of construction project management. In order to maximize the return, construction planners would strive to optimize the project duration and cost concurrently. Over the years, many researches have been conducted to model the time-cost relationships; the modeling techniques range from the heuristic method and mathematical approach to genetic algorithm. In this paper, an evolutionary-based optimization algorithm known as ant colony optimization (ACO) is applied to solve the multi-objective time-cost problem. By incorporating with the modified adaptive weight approach (MAWA), the proposed model will find out the most feasible solutions. The concept of the ACO-TCO model is developed by a computer program in the Visual Basic platforms. An example was analyzed to illustrate the capabilities of the proposed model and to compare against GA-based TCO model. The results indicate that ant colony system approach is able to generate better solutions without making the most of computational resources which can provide a useful means to support construction planners and managers in efficiently making better time-cost decisions.

Impact of Kinect Exergame on Mental Computation Speed and Achievement

2017 ◽  
pp. 186-201
Author(s):  
Duygu Mutlu-Bayraktar ◽  
Ozgur Yilmaz
Keyword(s):  
Completion Time ◽  
Educational Games ◽  
Educational Game ◽  
Control Group ◽  
Mental Computation ◽  
Post Test ◽  
In The Beginning ◽  
And Control ◽  
Experimental Group ◽  
Computation Speed

The aim of this study was to investigate the effects of kinesthetic educational game on students' mental computation speed and achievement. The participants were 63 students. The working group was divided into two separate groups as experimental and control groups. The pre-test developed by the researchers was applied to measure prior knowledge of the students in the beginning of the experimental process. In the following eight weeks, computer-based and kinesthetic educational games were applied to the experimental and control group. During playing the games, number of correct answers and completion time were recorded and the post-test was applied. According to results, the mathematical performance and mental computation speed of the experimental group is higher than the performance and speed of the control group. When the findings about the game completion time of experimental group evaluated, the time of the first game is longer than the time of the last game. And also, the scores of the last game is higher than the scores of the first game.

Modeling of the harmonization method for executing a multi-unit construction project

2019 ◽  
Vol 9 (1) ◽  
pp. 282-291 ◽  
Author(s):  
Michał Tomczak
Keyword(s):  
Construction Industry ◽  
Construction Projects ◽  
Construction Project ◽  
Optimization Method ◽  
Linear Processes ◽  
Project Duration ◽  
Construction Enterprises ◽  
Non Linear ◽  
Implementation Time ◽  
Selection Of

AbstractOne of the key problems in managing the realization of a construction project is the selection of appropriate working crews and coordinating their activities in a way that ensures the highest degree of implementation of defined goals (minimizing the project duration and/or reducing downtime and related costs). Most of the existing methods of work harmonization used in construction industry allow obtaining the desired results only in relation to the organization of the processes realization in repetitive linear projects. In case of realization of non-linear construction objects or construction units, it is usually necessary to choose between the reduction of the project implementation time and maintaining the continuity of crews work on the units. It was found that there is a lack in the literature of developed method enabling harmonization of crews’ work, while minimizing the downtime at work and the duration of the entire project taking into account additional constraints, e.g. the need to not exceed the deadlines for the realization of the project stages.The article presents the concept of a multi-criteria optimization method of harmonizing the execution of non-linear processes of a multi-unit construction project in deterministic conditions. It will enable the reduction of realization time and downtimes in work, taking into account the preferences of the decision maker regarding the relevance of the optimization criteria. A mathematical model for optimizing the selection of crews and order of completion of units in multi-unit construction projects was also developed. In order to present the possibility of usage of the developed concept, an example of the optimal selection of crews and their work schedule was solved and presented. The proposed method may allow for better use of the existing production potential of construction enterprises and ensure synchronization of the crews employed during the work, especially in the case of difficulties in acquiring qualified staff in construction industry.

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