Decision support system for tower crane location and material supply point in construction sites using an integer linear programming model

PurposeThe site layout has a significant impact on the efficiency of construction operations. Planning an effective site layout partly involves identifying and positioning temporary facilities such as tower cranes and areas on the jobsite for materials storage. This study proposes an approach to opt...

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Veröffentlicht in:Engineering, construction, and architectural management Jg. 30; H. 4; S. 1444 - 1462
Hauptverfasser: Amiri, Roya, Majrouhi Sardroud, Javad, Momenaei Kermani, Vahid
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Bradford Emerald Publishing Limited 08.05.2023
Emerald Group Publishing Limited
Schlagworte:
Algorithms
Construction industry
Construction management
Construction planning
Construction sites
Cost control
Cranes & hoists
Decision support systems
Energy consumption
Integer programming
Layouts
Linear programming
Mathematical models
Operating costs
Optimization
Planning
Productivity
Supply & demand
Tower cranes
Tower crane
Integer linear programming
Material supply point
Decision making
Construction site
Optimization
ISSN:0969-9988, 1365-232X
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Zusammenfassung:PurposeThe site layout has a significant impact on the efficiency of construction operations. Planning an effective site layout partly involves identifying and positioning temporary facilities such as tower cranes and areas on the jobsite for materials storage. This study proposes an approach to optimizing the type and location of the tower crane and material supply point on construction sites.Design/methodology/approachThe problem is formulated into an integer linear programming (ILP) model considering the total cost of material transportation as the objective function and site conditions as constraints. The efficacy of the approach is demonstrated by finding the optimum site layout for a numerical example. The proposed model is validated and verified using two methods.FindingsResults indicate that the proposed model successfully identifies the type and location of the tower crane and the location of material supply point, leading to approximately 20% cost reduction compared with when such features of a site layout are decided solely based on experience and educated guesses of the construction manager.Originality/valueThe primary contribution of this study is to present a modified linear mathematical model for site layout optimization that exhibits improved performance compared with previous models. The type and location of the tower crane and the material supply point as decision variables are extracted directly from solving the proposed model. The proposed model will help enhance time and cost efficiency on construction sites.
Bibliographie:ObjectType-Article-1
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ISSN:0969-9988
1365-232X
DOI:10.1108/ECAM-06-2021-0517