scholarly journals Multiple Resource Leveling using Re-Modified Minimum Moment Method to Construction Project

2016 ◽  
Vol 5 (6) ◽  
pp. 332-335
Keyword(s):  
Moment Method ◽  
Construction Project ◽  
Resource Leveling ◽  
Multiple Resource ◽  
Minimum Moment

Minimum Moment Method for Resource Leveling Using Entropy Maximization

2010 ◽  
Vol 136 (5) ◽  
pp. 518-527 ◽  
Author(s):  
Symeon E. Christodoulou ◽  
Georgios Ellinas ◽  
Anastasia Michaelidou-Kamenou
Keyword(s):  
Moment Method ◽  
Entropy Maximization ◽  
Resource Leveling ◽  
Minimum Moment

scholarly journals Generalized Resource-Constrained Critical Path Method to Improve Sustainability in Construction Project Scheduling

2020 ◽  
Vol 12 (21) ◽  
pp. 8918
Author(s):  
Kyunghwan Kim
Keyword(s):  
Construction Projects ◽  
Resource Constraints ◽  
Critical Path ◽  
Construction Project ◽  
Sustainable Construction ◽  
Prototype System ◽  
Critical Path Method ◽  
Resource Constrained ◽  
Additional Time ◽  
Multiple Resource

Delays by limited supply of resources are common in many construction projects and may cause serious monetary disputes between project participants. Since the dispute resolution may require unnecessary additional time and cost, preventing delays in advance is an important goal in sustainable construction project management. To prevent delays, a feasible plan must be implemented, which reflects limited resources and provides reliable activity information. For this purpose, this study proposes a generalized resource-constrained critical path method (eRCPM). It consists of three steps to identify resource-dependent activity relationships (resource links) based on the result of resource-constrained scheduling (RCS) under multiple resource constraints. Compared to the existing resource-constrained critical path methods, the eRCPM has the advantage of identifying resource links irrespective of the applied RCS technique because it is based on the result rather than the RCS process. Further, this study presents a Microsoft (MS) Excel-based half-automated prototype system that is linked using file export and import functions to both P6 and MS Project software packages. The detailed process of the eRCPM algorithm and the operation process of the prototype system are described using an example schedule. Through a case study, it was demonstrated that eRCPM appropriately identifies the necessary resource links and provides reliable total floats.

scholarly journals Resource leveling in construction projects with activity splitting and resource constraints: a simulated annealing optimization

2019 ◽  
Vol 46 (2) ◽  
pp. 81-86 ◽  
Author(s):  
S. Madeh Piryonesi ◽  
Mehran Nasseri ◽  
Abdollah Ramezani
Keyword(s):  
Simulated Annealing ◽  
Resource Management ◽  
Computer Program ◽  
Resource Utilization ◽  
Construction Projects ◽  
Resource Constraints ◽  
Construction Project ◽  
Resource Leveling ◽  
Different Types ◽  
Management Techniques

Overtime and over-budget construction projects are not pleasant to any stakeholder. Stakeholders want construction projects to be completed without delay and excessive cost. It is possible to meet these objectives by using resource management techniques such as resource leveling. Due to the limitation of resources and different types of them in a construction project, optimizing the resource utilization is crucial. In this paper, a meta-heuristic simulated annealing resource leveling model is presented. The novelty of this model lies not only in the type of modeling and optimization but also in its assumptions. Our model simultaneously allows activities to split and considers a limitation in resource availabilities. The developed model was implemented in a computer program. Then, it was applied to an example from the literature of resource leveling. The model successfully solved the problem. The results of our model are compared with those already available in the literature.

scholarly journals Analisa Penggunaan Sumber Daya Manusia Dengan Metode Resource Leveling Pada Pelaksanaan Proyek Konstruksi (Studi Kasus : Proyek Pembangunan Ruang Kelas Baru Ponpes Daarun Nahdah Thawalib Bangkinang)

2018 ◽  
Vol 18 (1) ◽  
pp. 39-47
Author(s):  
Deddy Purnomo Retno ◽  
Astuti Astuti ◽  
Zulfadli Tamimi
Keyword(s):  
Human Resources ◽  
Quality Factor ◽  
Human Resource ◽  
Resource Use ◽  
Construction Project ◽  
Work Force ◽  
Cost Effective ◽  
Resource Leveling ◽  
The Cost ◽  
Building Project

[ID] Tenaga kerja merupakan salah satu sumber daya manusia yang penting, karena seringkali penyediaannya terbatas, baik karena faktor kualitas maupun hal-hal lain. Kemudian kelebihan tenaga keja akan mengakibatkan pemborosan biaya serta kekurangan tenaga kerja akan mengakibatkan keterlambatan pelaksanaan proyek yang telah dijadwalkan. Tujuan tugas akhir ini adalah untuk menentukan sumber daya manusia yang efektif dalam pelaksanaan proyek Pembangunan Ruang Kelas Baru Ponpes Daarun Nahdah Thawalib Bangkinang, dan untuk mengetahui berapa banyak biaya yang diperlukan untuk kebutuhan penggunaan sumber daya manusia. Metode Perataan Sumber Daya (Resource Leveling) dapat digunakan untuk mendapatkan histogram penggunaan tenaga kerja yang efektif dalam pelaksanaan proyek konstruksi sehingga tidak terjadi penurunan dan peningkatan penggunaan tenaga kerja diawal, ditengah dan diakhir jadwal pelaksanaan pekerjaan. Proses Resource Leveling dilakukan menggunakan bantuan aplikasi Microsoft Project 2013. Dari hasil penelitian diperoleh penggunaan tenaga kerja rencana dan tenaga keja setelah perataan (leveling) yaitu sebanyak 790 orang dengan biaya sebesar Rp. 375.270.000,00 yang terdiri dari 470 orang pekerja dengan biaya sebesar Rp. 207.270.000,00 dan 320 orang tukang dengan biaya sebesar Rp. 168.000.000,00. Sedangkan tenaga kerja realisasi atau lapangan sebanyak 831 orang dengan biaya sebesar Rp. 382.011.000,00 yang terdiri dari 646 orang pekerja dengan biaya sebesar Rp. 284.886.000,00  dan 185 orang tukang dengan biaya sebesar Rp. 97.125.000,00. Dengan demikian tenaga kerja rencana dan setelah perataan lebih hemat biaya sebesar Rp. 6.741.000,00 dibandingkan tenaga kerja realisasi. [EN] Labor is one of the most important human resources, because it is often limited in provision, both because of the quality factor and other things. Then the excess work force will lead to waste of costs and labor shortages will result in delays in the implementation of projects that have been scheduled. The purpose of this thesis is to determine the effective human resources in the implementation of the New Classroom Building Project Ponpes Daarun Nahdah Thawalib Bangkinang, and to find out how much cost is needed for the needs of human resource use. Resource Leveling Methods can be used to obtain an effective employment histogram in the implementation of a construction project so that there is no decrease and increased use of labor at the beginning, middle and end of the job execution schedule. The Resource Leveling process is done using Microsoft Project 2013 help. From the result of the research, it is found that the use of workforce of plan and work force after leveling is 790 people with the cost of Rp. 375,270,000.00, consisting of 470 workers at a cost of Rp. 207.270.000,00 and 320 craftsmen at a cost of Rp. 168,000,000.00. While the labor realization or field as many as 831 people with a fee of Rp. 382.011.000,00 consisting of 646 workers with a fee of Rp. 284,886,000,00 and 185 carpenters at a cost of Rp. 97.125.000,00. Thus the workforce of the plan and after smoothing is more cost effective at Rp. 6,741,000.00 compared to realization workforce.

Potential of artificial neural networks for resource scheduling

1997 ◽  
Vol 11 (3) ◽  
pp. 171-185 ◽  
Author(s):  
Nabil Kartam ◽  
Tanit Tongthong
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Optimization Problems ◽  
Construction Project ◽  
Hopfield Network ◽  
Ann Model ◽  
Hopfield Networks ◽  
Resource Leveling ◽  
Artificial Neural ◽  
Optimum Solution

AbstractIn a construction project, resource leveling techniques are necessary as a primary schedule-improvement tool to reduce overall project cost by decreasing day-to-day fluctuation in resource usage and resource idleness. There are, however, some limitations in traditional resource leveling techniques. Conventional heuristic approaches cannot guarantee a near-optimum solution for every construction project; a given heuristic may perform well on one project and poorly on another. The existing optimization approaches, such as linear programming and enumeration methods, are best applicable only to small size problems. Recently, there has been success in the use of Artificial Neural Networks (ANNs) for solving some optimization problems. The paper discusses how state-of-the-art ANNs can be a functional alternative to traditional resource leveling techniques. It then investigates the application of different ANN models (such as backpropagation networks, Hopfield networks, Boltzmann machines, and competition ANNs) to resource leveling problems. Because the development of ANNs involves not only science but also experience, the paper presents various intuitive yet effective ways of mapping resource leveling problems on different applicable ANN architectures. To demonstrate the application of ANNs to resource leveling, a simple ANN model is developed using a Hopfield network. The conclusion highlights the usefulness and the limitations of ANNs when applied to resource leveling problems.

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