Dynamic construction site layout planning using max-min ant system

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

doi:10.1016/j.autcon.2009.09.002

Cited by 150 publications

(80 citation statements)

References 20 publications

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“…In this approach, the position of objects is identified by a unique location reference that is assigned to grid cells (Fig. 1b) (Cheung et al 2002;Elbeltagi 1999, 2000;Elbeltagi et al , 2004Osman et al 2003;Khalafallah and El-Rayes 2006a, 2006b, 2008Ning et al 2010;Yahya and Saka 2014). This approach facilitates the search process and the identification of space conflicts between objects during the search.…”

Section: Grid Systemmentioning

confidence: 99%

“…Here, the size of the grid unit is selected such that it can fit the largest object. In a more advanced form of grid representation, an object can occupy multiple grid cells (e.g., Osman et al 2003;Ning et al 2010;Khalafallah and El-Rayes 2011). Using multiple grids allow a more realistic representation of the size of the object in the search process.…”

Section: Grid Systemmentioning

confidence: 99%

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The constructs of site layout modeling: an overview

Sadeghpour

Andayesh

2015

Can. J. Civ. Eng.

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Abstract: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.Key words: construction site planning, site layout modeling, modeling constructs, site management, optimization models.Résumé : La planification de l'agencement d'un espace défini dans le cadre d'un chantier de construction est appelée « plan d'aménagement de site ». En raison de l'impact de ce dernier sur la sécurité, la productivité et la sûreté des sites de construction, de nombreux modèles de plans d'aménagement de site ont été développés au cours des dernières décennies. Ces modèles ont pour objectif commun de concevoir des aménagements optimaux en tenant compte de contraintes et de conditions précises. Cependant, les hypothèses de base émises lors de l'élaboration de ces modèles semblent nombreuses et souvent implicites. La présente étude fournit un aperçu des modèles existants et a pour but d'offrir une vision globale des variables qui ont été étudiées à différents niveaux de détail et sous diverses approches dans la littérature traitant de l'aménagement de site. Grâce à un examen attentif et à une analyse comparative des modèles existants, le présent article identifie les composants, nommés « structures », à prendre en compte dans la modélisation de l'aménagement de site. L'article décrit également les différentes approches pouvant être adoptées pour créer chaque structure ainsi que les avantages et désavantages de ces approches. Il est à espérer que la présente étude contribuera à une meilleure compréhension de la modélisation de l'aménagement de site et constituera un point de départ à l'élaboration de nouveaux modèles de plans d'aménagement de site. [Traduit par le Rédaction] Mots-clés : plan de site de construction, modélisation d'aménagement de site, structures de modélisation, gestion de site, modèles d'optimisation.

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Section: Grid Systemmentioning

confidence: 99%

Section: Grid Systemmentioning

confidence: 99%

The constructs of site layout modeling: an overview

Sadeghpour

Andayesh

2015

Can. J. Civ. Eng.

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“…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

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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.

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“…They used Ant Colony to solve a static site layout problem. Ning and Liu [22] employed Max-Min Ant System (MMAS), which is one of the standard variants of the ant colony optimization (ACO) algorithms to solve a dynamic construction site layout planning. Mixed integer programming [23], Tabu search [24] , harmony search [4] and colliding bodies optimization [25] are other methods that are used in this field.…”

Section: Introductionmentioning

confidence: 99%

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

Kaveh

Moghaddam

2017

Scientia Iranica

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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.

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Dynamic construction site layout planning using max-min ant system

Cited by 150 publications

References 20 publications

The constructs of site layout modeling: an overview

The constructs of site layout modeling: an overview

Optimization of Construction Logistics Planning Cost in Egypt Using Genetic Algorithms

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

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