A BIM-based automated site layout planning framework for congested construction sites

2015 ◽  
Vol 59 ◽  
pp. 24-37 ◽  
Author(s):  
Srinath S. Kumar ◽  
Jack C.P. Cheng
Keyword(s):  
Construction Sites ◽  
Layout Planning ◽  
Site Layout ◽  
Planning Framework

scholarly journals The constructs of site layout modeling: an overview

2015 ◽  
Vol 42 (3) ◽  
pp. 199-212 ◽  
Author(s):  
Farnaz Sadeghpour ◽  
Mohsen Andayesh
Keyword(s):  
Construction Sites ◽  
Layout Planning ◽  
Holistic View ◽  
Advantages And Disadvantages ◽  
Levels Of Detail ◽  
Site Layout ◽  
Planning Models ◽  
Efficient Planning ◽  
The Common ◽  
Different Levels

The efficient planning of site space through the course of a construction project is referred to as site layout planning. Due to its impact on safety, productivity and security on construction sites, several site layout planning models have been developed in the past decades. These models have the common aim of generating best layouts considering the defined constraints and conditions. However, the underlying assumptions that were made during the development of these models seem disparate and often implicit. This study provides an overview of the existing models and aims to draw a holistic view of variables that have been considered at different levels of detail and using different approaches in the site layout literature. Through close examination and comparative analysis of existing models, this study identifies the components that need to be considered for site layout modeling, referred to as constructs. Possible approaches that can be used to realize each construct are presented, and the advantages and disadvantages of these approaches are discussed. It is hoped that this study contributes to a better understanding of site layout modeling, and provide an outline for the development of new site layout planning models.

scholarly journals Probabilistic Fire Risk Framework for Optimizing Construction Site Layout

2020 ◽  
Vol 12 (10) ◽  
pp. 4065
Author(s):  
Rani El Meouche ◽  
Mohammed Abunemeh ◽  
Ihab Hijazi ◽  
Ahmed Mebarki ◽  
Fadi Fatayer ◽  
...  
Keyword(s):  
Fire Risk ◽  
Probability Of Failure ◽  
Construction Site ◽  
Construction Sites ◽  
Layout Planning ◽  
Fire Hazards ◽  
Site Layout ◽  
Planning Models ◽  
Risk Framework ◽  
Construction Site Layout

Purpose: This paper aims to develop an efficient model able to reduce catastrophic consequences and the significant number of victims resulting from fires at construction sites. The paper proposes probabilistic modeling aimed to minimize the probability of failure of a construction site. Methodology: The developed model in this paper consists of modeling fire hazards, the vulnerability of the potential targets, and the risk within construction sites. The optimization algorithm called “differential evolution” is used in order to determine the optimal site layout, which is characterized by having the smallest overall probability of failure. A numerical simulation is performed to delineate an appropriate probability density function of the failure of the site. In addition, a geographic information system (GIS) is used to display the spatial variability of fire risk on a construction site. Findings: The paper provides an efficient model to enhance site layout planning and assign locations for supporting temporary facilities at appropriate positions within a construction site. The model is examined through applying it on a simple case study containing numerous facilities. All these facilities are considered vulnerable targets and some of them are potential fire hazards, with different intensity values. Value: Most of the previous research focuses on travel cost distance in developing site layout planning models. This paper fulfills the development of a valuable model able to generate an optimized construction site layout by minimizing the probability of failure of the whole site. It will assist the decision makers and the risk managers in identifying the riskiest zones on a construction site.

Facility Closeness Relationship Determination in the Construction Site

2011 ◽  
Vol 71-78 ◽  
pp. 476-479
Author(s):  
Xin Ning
Keyword(s):  
Fuzzy Rule ◽  
Construction Site ◽  
Construction Sites ◽  
Construction Planning ◽  
Layout Planning ◽  
Rule Based ◽  
Rule Based System ◽  
Site Layout ◽  
Manufacture Industry ◽  
Construction Site Layout

Construction site layout planning (CSLP) is one of the critical activities in construction planning conducted by the managers on the construction sites. CSLP is significantly influenced by the interaction flows and distance between the facilities. The paper aims to apply fuzzy rule-based system developed in the manufacture industry to determine the facility closeness relationship in the construction site. Facility closeness relationship with consideration of quantitative and qualitative factors can be successfully determined by the procedure based on fuzzy rule-based system.

scholarly journals 4D BIM for Construction Logistics Management

CivilEng ◽  
2021 ◽  
Vol 2 (2) ◽  
pp. 325-348
Author(s):  
Kane Whitlock ◽  
Fonbeyin Henry Abanda ◽  
Marcelline Blanche Manjia ◽  
Chrispin Pettang ◽  
George Elambo Nkeng
Keyword(s):  
Three Dimensional ◽  
Qualitative Interview ◽  
Logistics Management ◽  
Project Delivery ◽  
Building Information Modelling ◽  
Layout Planning ◽  
Information Efficiency ◽  
Site Layout ◽  
Building Information ◽  
Common User

This study presents an investigation into the extent to which emerging building information modelling (BIM) can be applied to construction logistics management (CLM). Given the specialist nature of the domains, the study employed an in-depth qualitative interview, whereby six experts were interrogated about their experiences of BIM for CLM. The study found the main applications of BIM on CLM to be the creation of three-dimensional (3D) site layout plans and four-dimensional (4D) coordination of site processes and common user plant, updating the 4D logistics plan as the project progressed and collaboration in BIM-based logistics coordination. Furthermore, there was a consensus amongst interviewees on improvement in site safety, comprehension of logistics information, efficiency on site, and effectiveness of layout planning as the main benefits. Lastly, the lack of training with implications on understanding was one of the main barriers to applying BIM to CLM. The findings from this study have the potential to stimulate the uptake of BIM by construction logistics practitioners. By so doing, the performance construction project delivery can be improved, and waste can be minimised or eliminated.

Dynamic construction site layout planning: an application of branch and bond algorithm

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Michael C.P. Sing ◽  
Ivan W.H. Fung ◽  
David John Edwards ◽  
Henry Liu
Keyword(s):  
Comparative Analysis ◽  
Material Handling ◽  
Unit Cost ◽  
Real Life ◽  
Layout Planning ◽  
Content Type ◽  
Site Layout ◽  
Site Planning ◽  
Material Handling Costs ◽  
Construction Works

PurposeThis paper develops a platform that can be used to determine how to effectively and efficiently deal with a large number of temporary facilities under a constrained site condition(s). The ultimate goal is to reduce the material handling costs between transformation phases of construction works occurring during the project's development period.Design/methodology/approachEmpirical and deductive research is first adopted to mathematical model dynamic site layout planning using the branch and bond algorithm (B&B). Second, a real-life construction project is examined to illustrate how dynamic site layout planning (using the aforementioned B&B algorithm and a computer software program called LINGO) can reduce the material handling costs. The application of the proposed methodology is then showcased against a case study that utilizes a comparative analysis between the “dynamic” and “statistic” site planning approaches.FindingsBy dividing the construction period into different phases, the developed model is shown to be capable of optimizing the material handling costs between the phases of transformation during construction works. Optimal costs are also considered using the site boundary and unit cost for moving construction materials between two facilities. The comparative analysis results illustrate that the B&B algorithm reduces material handling costs by 33%.Practical implicationsThe proposed model offers an effective planning algorithm for the site layout and location of temporary facilities. More specifically, it can make a substantial improvement in reducing the travel time and material handling cost between the temporary facilities in the construction sites.Originality/valueThe primary knowledge contribution of this study to the site layout is successfully deal with the unequal area problem of temporary site facilities and incorporates the concept of dynamics site planning into the algorithm.

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