Construction Equipment Selection through Scenario-Based FDEA: Truck-Mixer Drums

2021 ◽  
Author(s):  
Serdar Ulubeyli ◽  
Volkan Arslan ◽  
Ozer Uygun ◽  
Ismail Hakki Demir
Keyword(s):  
Construction Equipment ◽  
Equipment Selection

scholarly journals Software Product Development for the Construction Equipment Selection

2016 ◽  
Vol 165 ◽  
pp. 1184-1191 ◽  
Author(s):  
Zalina Tuskaeva ◽  
Gevork Aslanov
Keyword(s):  
Product Development ◽  
Construction Equipment ◽  
Equipment Selection ◽  
Software Product

Optimized Construction Equipment Allocation Method for Highway Construction Projects

2013 ◽  
Vol 671-674 ◽  
pp. 3120-3125
Author(s):  
Jaeh Yun Choi ◽  
Ho Jeong Song
Keyword(s):  
Construction Projects ◽  
Planning Process ◽  
Selection Process ◽  
Highway Construction ◽  
Construction Equipment ◽  
Equipment Selection ◽  
Factors Affecting ◽  
Key Factor ◽  
Equipment Utilization ◽  
Major Factors

Highway construction projects are divided into new roadway construction and rehabilitation projects. In Korea total contract value of highway construction projects was over $2 Billion in 2011, which took over 24% of the total budget of the Korea Highway Corporation, and the volume is expected to be increase due to many rehabilitation projects for the existing roadways. Highway construction is known as a collection of linear and repetitive operations that are highly equipment intensive. Typically, construction equipment costs made up to 40% of the total construction costs on the highway construction projects. Therefore, construction cost and time for the highway construction projects are highly dependent upon the effective usage of construction equipment. In other words, the utilization of construction equipment has a great impact on the entire construction process and the optimal selection of the equipment becomes the key factor to the project success. However, most construction projects rely on experience or intuition without proper consideration or planning when it comes to select construction equipment. This research involves analyzing current equipment utilization to identify the major factors affecting equipment selection process for the asphalt pavement operation with the help of a computer simulation technique. The methodology developed can replace educated-guessing in the planning process for the equipment selection process.

Process design and equipment selection for optimized steam and power concepts – the “zero” process steam sugar factory

2020 ◽  
pp. 40-50
Author(s):  
Boris Morgenroth ◽  
Thomas Stark ◽  
Julian Pelster ◽  
Harjeet Singh Bola
Keyword(s):  
Process Design ◽  
Sugar Industry ◽  
Electrical Power ◽  
Power Requirement ◽  
Equipment Selection ◽  
Good Potential ◽  
Set Up ◽  
The Right ◽  
Key Aspects ◽  
Steam Drying

Optimization of process steam requirement in order to maximize sugar recovery and export power along with manpower optimization is a must for sugar factories to survive under difficult conditions and to earn additional revenues. The process steam demand of greenfield and revamped plants has been reduced to levels of 32–38% from originally more than 50% steam on cane in the case of the brownfield plants. In addition, significant improvement in the power requirement of the plants has been achieved. Bagasse drying offers a good potential to improve the power export. Different available concepts are compared with a focus on bagasse steam drying and low temperature bagasse drying. In order to set up an optimized highly efficient plant or to optimize an existing plant to achieve competitive benchmarks, good process design and the right equipment selection are very important. Experience has been gained with multiple stage or double effect crystallization in the beet sugar industry offering further steam optimization potential. Vapour recompression is also an option to substitute live steam by electrical power. This even provides options to reduce the steam demand from the power plant for the sugar process down to zero. Key aspects concerning the process design and equipment selection are described.

Network-based Simulation in Water Construction – a Flexible Tool for Equipment Selection

2016 ◽  
Vol 26 (1) ◽  
pp. 55-58
Author(s):  
Gerhard Höfinger ◽  
Stefan Brunner
Keyword(s):  
Flexible Tool ◽  
Equipment Selection
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