Optimization of tower crane and material supply locations in a high-rise building site by mixed-integer linear programming

Huang, Cheng; Wong, C. K.; Tam, C. M.

doi:10.1016/j.autcon.2010.11.023

Cited by 119 publications

(95 citation statements)

References 26 publications

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“…α and β are assumed to be 0.25 and 1, respectively based on previous studies (Huang et al, 2011;Tam et al, 2001;Zhang et al, 1999). ߛ is set to one assuming normal site conditions (Huang et al, 2011). Job site requests are generated randomly using a uniform distribution.…”

Section: Evaluation and Resultsmentioning

confidence: 99%

“…(-77,-7,0) (-72,-32,0) Heavy-load 4000 HC 100 LIEBHERR tower crane's velocities (V ୴ = 25 m/min, V ୟ = 0.6 revolution/ min, and V ୰ = 60 m/min) are used here in order to determine the "location travel time matrix" using the prediction model described in the "problem formulation" section. α and β are assumed to be 0.25 and 1, respectively based on previous studies (Huang et al, 2011;Tam et al, 2001;Zhang et al, 1999). ߛ is set to one assuming normal site conditions (Huang et al, 2011).…”

Section: Evaluation and Resultsmentioning

confidence: 99%

“…Travel time matrix's elements are calculated using basic site layout geometry and crane specification with polar coordination based on Zhang et al's (1996) seminal tower crane's mathematical travel time prediction model. This model was used thereafter in other works with minimal changes (Huang et al, 2011;Tam et al, 2001;Tam et al, 2003;Zhang et al, 1999). In this model, ‫ݎ(‬ ௌ , ߠ ௌ , ‫ݖ‬ ௌ ) are coordinates of the ith supply location, and ‫ݎ(‬ , ߠ , ‫ݖ‬ ) are the coordinates of the jth demand location.…”

Section: Problem Formulationmentioning

confidence: 99%

“…Previously, increasing crane operation productivity has been investigated mostly via two approaches: first, through facility layout planning in the design phase by appropriately locating tower cranes and supply locations to reduce crane's total travel time (Huang et al, 2011;Tam et al, 2001;Tam & Tong, 2003;Zhang et al, 1996;Zhang, et al, 1999) Second, reducing crane travel time has also been investigated by using add-on technologies such as vision systems (Everett & Slocum, 1993;Lee et al, 2012 ;Shapira et al, 2008) and collision detection systems (Sivakumar et al, 2003;Kang & Miranda, 2006;Lei et al, 2012) to facilitate crane navigation especially when the operator's line of sight is obstructed.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

TSP-Based Model for On-Site Material Handling Operations with Tower Cranes

Zavichi¹,

Madani²,

Xanthopoulos³

et al. 2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

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Today, with the necessity of timely, on-budget and high quality completion of projects, proper use of construction equipment is essential to ensure project success. Construction equipment places a large monetary burden on the project and if not utilized efficiently, it can result in economic losses. Cranes are one of the most important and expensive operational devices on construction sites. They play a central role, and often activities that rely on crane services fall on the project's critical path. Currently, material-handling scheduling is done by the crane operator or by an on-duty superintendent using his/hers personal judgment, making the process manual and timeconsuming. Thus, developing an optimal schedule, which considers different dynamic constraints in construction job site, may not be possible based on the current practice. This leads to longer operation times and a negative impact on project cost. This paper presents the latest results of an ongoing study, which aims to design and implement a nearreal time crane operation decision support system to be utilized directly by the crane operator or as an aid for the superintendent in scheduling optimal operation services. This system has several advantages such as maximizing the efficiency of crane operations, guaranteeing the best operation possible to reduce the crane's travel time, reducing crews and equipment idle time, and minimizing the dependence on subjective human judgments.

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Section: Evaluation and Resultsmentioning

confidence: 99%

Section: Evaluation and Resultsmentioning

confidence: 99%

Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

TSP-Based Model for On-Site Material Handling Operations with Tower Cranes

Zavichi¹,

Madani²,

Xanthopoulos³

et al. 2013

Proceedings of the 30th International Symposium on Automation and Robotics in Construction and Mining (ISARC 2013): Building Th

View full text Add to dashboard Cite

show abstract

“…Crane lift studies can be divided into the following categories: (i) crane type selection and location [4,13,21,22,24,25]; (ii) crane support system [11]; and (iii) crane lift path planning [1,3,7,17,19,23]. When lift studies are implemented, the most critical step in terms of safety and productivity is to identify and eliminate potential collision errors.…”

Section: Introductionmentioning

confidence: 99%

Integrated Visualization and Simulation for LiftingOperations of Modules under Congested Environment

Han

Lei²,

̈ne³

et al. 2014

Proceedings of the International Symposium on Automation and Robotics in Construction (IAARC)

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Abstract-Modular-based heavy construction projects are recognized as faster, safer, and more efficient than traditional those completed through on-site construction methods. The successful completion of these projects relies on an efficient material handling system, especially when mobile cranes are utilized to satisfy heavy lift requirements. However, engineers are faced with the challenge of planning the lifting operations of heavy modules within congested areas. Currently, mobile crane analysis is implemented manually, but requires timeconsuming data input resulting in an increase of errors and a lack of proper crane productivity performance analysis; this complicates the planning process. To overcome these limitations, the research presented in this paper proposes to integrate visualization and simulation, in an approach known as post-3D visualization simulation, in order to plan collision-free crane lifts by eliminating potential errors in 3D visualization and to predict crane productivity performance in simulations. This proposed system will contribute to the successful completion of construction projects with high productivity and site-error reduction by selecting the best crane operation that includes various crane lifts. An actual industrial project which has a number of constraints, including space limitations, different types of site layouts, and various crane lifts, is used to validate the proposed framework.

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Optimization of Tower Crane Location and Material Quantity Between Supply and Demand Points

Kaveh

Eslamlou

2020

Metaheuristic Optimization Algorithms in Civil Engineering: New Applications

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Optimization of tower crane and material supply locations in a high-rise building site by mixed-integer linear programming

Cited by 119 publications

References 26 publications

TSP-Based Model for On-Site Material Handling Operations with Tower Cranes

TSP-Based Model for On-Site Material Handling Operations with Tower Cranes

Integrated Visualization and Simulation for LiftingOperations of Modules under Congested Environment

Optimization of Tower Crane Location and Material Quantity Between Supply and Demand Points

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