scholarly journals MINIMALISASI BIAYA PENYEDIAAN FRAME SCAFFOLDING DENGAN METODE LINEAR PROGRAMMING PADA PROYEK X

2020 ◽  
Vol 3 (2) ◽  
pp. 255
Author(s):  
Verian Fernando Christanto ◽  
Iwan B. Santoso

ABSTRACTIn the process of casting, we need a temporary structure that functions as a support or called scaffolding. Scaffolding frame is one type of modern scaffolding that is very commonly used today in high rise building construction. The amount of frame scaffolding needs on a project is not small so the amount of supply of frame scaffolding material can affect cost control on a project. In this study, the linear programming method is used to minimize the cost of providing frame scaffolding material in Project X. The study uses various combinations of frame scaffolding component sizes in casting beams and floor slabs with constraints or problem constraints such as storage of frame scaffolding components, load capacity the maximum that can be held by frame scaffolding, the supply of material quantities, and the casting cycle. By using the linear programming method, a cost savings of 4.3% can be made from the total cost of providing frame scaffolding in Project X if frame scaffolding material is provided with a volume of 3 floors, then 20.23% if frame scaffolding material is provided as much volume 2.5 floor, and 28.7% if frame scaffolding material is provided as much as the minimum floor volume.ABSTRAKDalam proses pengecoran, dibutuhkan struktur sementara yang berfungsi sebagai penyangga atau yang disebut perancah. Saat ini, frame scaffolding merupakan salah satu jenis perancah modern yang sangat umum digunakan pada konstruksi gedung bertingkat. Jumlah kebutuhan frame scaffolding pada suatu proyek tidaklah sedikit sehingga jumlah penyediaan material frame scaffolding ini dapat mempengaruhi pengendalian biaya pada suatu proyek. Pada penelitian ini, digunakan metode linear programming untuk dapat meminimalisasi biaya penyediaan material frame scaffolding pada Proyek X. Penelitian menggunakan berbagai kombinasi ukuran komponen frame scaffolding pada pengecoran balok dan pelat lantai dengan kendala berupa tempat penyimpanan komponen frame scaffolding, kapasitas beban maksimum yang dapat ditahan oleh frame scaffolding, penyediaan jumlah material, dan siklus pengecoran. Dengan menggunakan metode linear programming, dapat dilakukan penghematan biaya sebesar 4,3% dari total biaya penyediaan frame scaffolding pada Proyek X jika material frame scaffolding disediakan sebanyak volume 3 (tiga) lantai, dapat dilakukan penghematan sebesar 20,23% jika material frame scaffolding disediakan sebanyak volume 2,5 (dua setengah lantai), dan sebesar 28,7% jika material frame scaffolding disediakan sebanyak volume lantai yang paling minimal. Selain itu, dengan menggunakan metode linear programming dapat diketahui jumlah material frame scaffolding yang paling baik sesuai dengan kondisi-kondisi di lapangan.

2014 ◽  
Vol 513-517 ◽  
pp. 1026-1029
Author(s):  
Ling Sun ◽  
Ze Sheng Zhu

This study investigated a two-round linear programming method for optimizing online assignment of harvesting jobs to trans-regional combines. A two-round biding process was constructed to provide the competitive quotations for the two-round linear programming method. There was a 25 percent limitation of price difference in the second bid versus the first one. It was found that using the two-round linear programming method significantly decreased the cost to hire the trans-regional combines for harvesting jobs by 4% compared with one-round biding process. This indicates that there is a possibility of developing a better online optimal algorithm based on a multi-round biding process and suggests that it is possible to determine the optimal change limitation and round number.


2019 ◽  
Vol 6 (04) ◽  
Author(s):  
ASHUTOSH UPADHYAYA

A study was undertaken in Bhagwanpur distributary of Vaishali Branch Canal in Gandak Canal Command Area, Bihar to optimally allocate land area under different crops (rice and maize in kharif, wheat, lentil, potato in rabi and green gram in summer) in such a manner that maximizes net return, maximizes crop production and minimizes labour requirement employing simplex linear programming method and Multi-Objective Fuzzy Linear Programming (MOFLP) method. Maximum net return, maximum agricultural production, and minimum labour required under defined constraints (including 10% affinity level of farmers to rice and wheat crops) as obtained employing Simplex method were ` 3.7 × 108, 5.06 × 107 Kg and 66,092 man-days, respectively, whereas Multi-Objective Fuzzy Linear Programming (MOFLP) method yielded compromised solution with net return, crop production and labour required as ` 2.4 × 108, 3.3 × 107Kg and 1,79,313 man-days, respectively. As the affinity level of farmers to rice and wheat crops increased from 10% to 40%, maximum net return and maximum production as obtained from simplex linear programming method and MOFLP followed a decreasing trend and minimum labour required followed an increasing trend. MOFLP may be considered as one of the best capable ways of providing a compromised solution, which can fulfill all the objectives at a time.


2017 ◽  
Vol 51 (22) ◽  
pp. 13086-13094 ◽  
Author(s):  
Hajime Ohno ◽  
Kazuyo Matsubae ◽  
Kenichi Nakajima ◽  
Yasushi Kondo ◽  
Shinichiro Nakamura ◽  
...  

Author(s):  
Tayisa Vozniuk ◽  
Olga Mazur

In this article reveals an example of forecasting the volumes of sales goods through ways of implement optimization analysis, that is by linear programming method. For example, volume of production goods for realization her consumers no must to exceed of determined out maximum or to be lower by minimum, what can to foreseeing in this task. For decision tasks of linear programming with a large number of variables and constraints, decomposition methods are used, which allow instead of the original problem to solve tasks of little volume. In general methodology of linear programming together with simplex-method is considered on the example Nemyriv bakery, where determined out profit on unit bakery products, obtained through the optimal ratio of material resources and costs incurred. In analysis and treatment of economic activities the each enterprises, particularly at composition forecast as to volumes of sales goods with aim of receiving profit, linear programming maybe successfully used out for decision tasks with optimization of development and organization trade processes upon regarding the sale of its products. With point of view management a tasks of linear programming – this tasks of optimal using resources. In each event planning of production goods necessity have on attention, which different productions resources (workforce, raw, materials, means of production) are limited, and also which known norm of costs these resources on different kinds goods, or possible are multiples variants to separating production resources. In our work, we ascertained that in analysis, compliance is checked of demand for bakery products to stocks of most-important kinds raw and materials together with costs as most important conditions for receive profit on enterprises and avoiding of excessive and unforeseen losses. With aim of rise efficiency of enterprises activities necessary and further to look at question of renewing assortment goods and increase quality her, increasing volumes of production, maximum of loading production powers equipment, efficiency using of available resources.


2010 ◽  
Vol 27 (5) ◽  
pp. 985 ◽  
Author(s):  
Changjun Li ◽  
M. Ronnier Luo ◽  
Maeng-Sub Cho ◽  
Jin-Seo Kim

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