A decision-making system for construction site layout planning

Ning, Xin; Lam, K. C.; Lam, Mike Chun-Kit

doi:10.1016/j.autcon.2010.11.014

Cited by 111 publications

(37 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The population size of 200, the present model generated an optimal plan. The model was used to evaluate the fitness (construction logistics cost) by performing the following steps for each solution examined by the GA optimization tool in order to calculate: (1) the order quantities of each material during every stage based on the generated FOP and the material's demand in that stage; (2) the ordering costs based on the order quantities identified in step 1 and the suppliers purchase and delivery costs; (3) the financing cost using Equation 3 based on the cumulative materials demand and the cumulative supply which is dependent on the FOP values; (4) the stock-out cost using Equation 6 throughout calculating the material-related project delay (MRPD); (6) the storage space needs and dimensions for each material in every stage based on the planner-defined footprint schedules and the value of the FOP; and (7) the layout costs using Equations 6 through 9 considering the values of layout decision variables (locations and orientations) for all storage areas and temporary facilities [21,22]. The present CLC model requires construction planners to provide the following input data for the available case study: (1) the construction site geometry including the dimensions and locations of buildings under construction and site boundaries; (2) the project stages and cumulative demand of each material over time as an ASCII file format; (3) the dimensions and relocation costs of each temporary facility as Table 5: Footprint area of materials storage and temporary facilities.…”

Section: Clc Model Applicationmentioning

confidence: 99%

Optimization of Construction Logistics Planning Cost in Egypt Using Genetic Algorithms

Shamma¹,

Shawki²,

Bassioni³

2017

J Inform Tech Softw Eng

View full text Add to dashboard Cite

List of Abbreviations AbstractThe effective and efficient management of construction resources is the core of success for any construction project. Traditionally, researchers and industry professionals identify the five main construction resources to include, time, capital, labor, equipment and material. Although, one of the important project resources that have been overlooked during the planning phases of most construction projects is site space. The contractors in Egypt impose serious challenges to plan for material procurement and site logistics due to the insufficiency of construction site space. The aim of this research is to optimize the construction logistics planning cost in Egypt. A literature review is performed on an adapted construction logistics planning model, whereas, implementing and verifying the automated construction logistics planning model using genetic algorithms, applying and validating a case study to the automated construction logistics planning model to the Egyptian industry which is expected to help contractors in Egypt to develop more optimized site layout plans and procurement plans to avoid material shortage and unorganized site layouts that could led to cost overruns.

show abstract

Section: Clc Model Applicationmentioning

confidence: 99%

Optimization of Construction Logistics Planning Cost in Egypt Using Genetic Algorithms

Shamma¹,

Shawki²,

Bassioni³

2017

J Inform Tech Softw Eng

View full text Add to dashboard Cite

show abstract

“…Construction site layout planning (CSLP) has been found to be a critical task in construction planning by experts and this task is emphasized on implementing early in the planning phase [1,2].…”

Section: Introductionmentioning

confidence: 99%

A hybrid WOA-CBO algorithm for construction site layout planning problem

Kaveh

Moghaddam

2017

Scientia Iranica

View full text Add to dashboard Cite

The whale optimization algorithm (WOA) is a recently developed swarm-based optimization algorithm inspired by the hunting behavior of humpback whales. This study attempts to enhance the original formulation of the WOA by hybridizing it with some concepts of the colliding bodies optimization (CBO) in order to improve solution accuracy, reliability and convergence speed. The new method, called WOA-CBO algorithm, is applied to construction site layout planning problem. To show the efficiency and performance of the WOA and WOA-CBO in construction site layout problems, three case studies are selected. First case is a discrete and equal area facility layout problem that every facility could assign to any location. Second case is an unequal area version of discrete facility layout problem with more constraints and the last case is a continuous model of construction site layouts. These cases are studied by WOA, CBO and WOA-CBO, and the results are compared with each other.

show abstract

“…3 that is employed for evaluation and selection of construction site layout [20]. Azadeh et al [21] employed data envelopment analysis (DEA) for calculating the efficiency of the considered maintenance workshop layout of a gas transmission unit, then these alternative layouts were ranked and the most efficient layout was specified.…”

Section: Introductionmentioning

confidence: 99%

Efficient multi-objective optimization algorithms for construction site layout problem

2017

View full text Add to dashboard Cite

Abstract. Construction site layout planning is one of the managerial aspects of the construction industry and has significant impacts on performance of the sites. Since in real site layout optimization, many objectives are involved, therefore multi-objective algorithms are needed. In this study, multi-objective version of two meta-heuristics, CBO and ECBO, are developed and their applicability and performance are checked on a case study. The quality of the results obtained, verify the ability of these algorithms in finding optimal pareto front on this problem. Another tool that is utilized in this study is data envelopment analysis (DEA) which by calculating the efficiency of optimal pareto front layouts, can help decision makers to select the final layout among the candidates.It should be mentioned that the DEA has previously been used in models with multiple inputs and outputs.

show abstract

A decision-making system for construction site layout planning

Cited by 111 publications

References 18 publications

Optimization of Construction Logistics Planning Cost in Egypt Using Genetic Algorithms

Optimization of Construction Logistics Planning Cost in Egypt Using Genetic Algorithms

A hybrid WOA-CBO algorithm for construction site layout planning problem

Efficient multi-objective optimization algorithms for construction site layout problem

Contact Info

Product

Resources

About