Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimal Construction Facilities Location Selection for Linear Infrastructure Projects
Planning an efficient construction site layout increases safety and productivity of operations. As opposed to considering only confined construction sites, this paper optimizes site layout for linear infrastructure projects in congested inner cities roads (i.e., road maintenance). The construction site location of these projects dynamically changes as the work progresses. Therefore, selecting construction facilities locations (CFL) is a major problem prior to organizing these facilities. The presented work optimizes CFL selection in inner-cities congested roads, using uniform-cost search (UCS) as an optimization tool, through minimizing the (1) resources transportation cost, (2) land renting cost, and (3) facilities relocation cost. The proposed model is coded in Java using NetBeans IDE 8.1 platform. A hypothetical case study with a solution space of 243 solutions was conducted to demonstrate the model’s benefits. The model succeeded in finding the optimal CFL for road segments in under 1,100 milliseconds using an 8 GB RAM, 2.00 GHz machine.
Optimal Construction Facilities Location Selection for Linear Infrastructure Projects
Planning an efficient construction site layout increases safety and productivity of operations. As opposed to considering only confined construction sites, this paper optimizes site layout for linear infrastructure projects in congested inner cities roads (i.e., road maintenance). The construction site location of these projects dynamically changes as the work progresses. Therefore, selecting construction facilities locations (CFL) is a major problem prior to organizing these facilities. The presented work optimizes CFL selection in inner-cities congested roads, using uniform-cost search (UCS) as an optimization tool, through minimizing the (1) resources transportation cost, (2) land renting cost, and (3) facilities relocation cost. The proposed model is coded in Java using NetBeans IDE 8.1 platform. A hypothetical case study with a solution space of 243 solutions was conducted to demonstrate the model’s benefits. The model succeeded in finding the optimal CFL for road segments in under 1,100 milliseconds using an 8 GB RAM, 2.00 GHz machine.
Optimal Construction Facilities Location Selection for Linear Infrastructure Projects
Mansour, Amr G. (Autor:in) / Eid, Mohamed S. (Autor:in) / Elbeltagi, Emad E. (Autor:in)
ASCE International Conference on Computing in Civil Engineering 2019 ; 2019 ; Atlanta, Georgia
Computing in Civil Engineering 2019 ; 482-490
13.06.2019
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Optimal Construction Facilities Location Selection for Linear Infrastructure Projects
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