This paper presents a newly developed algorithm for selecting and locating mobile cranes on construction sites. The algorithm is incorporated into a computer system that integrates a selection module and three databases, dedicated respectively, for cranes, rigging equipment, and projects’ information. This paper focuses primarily on the selection module and its algorithm to support an efficient search for most suitable crane configurations and their associated lift settings. Data pertinent to crane lift configurations and settings are retrieved from the databases and processed to determine the near optimum selection of a crane configuration. The developed selection module features powerful graphics capabilities and a practical user‐friendly interface, designed to facilitate the considerations of user imposed lift and site constraints. The selection algorithm has been implemented within the crane selection module using MS‐Visual Basic programming language. A case example is presented in order to demonstrate the use of the developed selection module and to illustrate its essential features.
Article navigation
1 June 2001
Technical Paper|
June 01 2001
An algorithm for mobile crane selection and location on construction sites Available to Purchase
Mohamed Al‐Hussein;
Mohamed Al‐Hussein
Department of Civil & Environmental Engineering, University of Alberta, Canada
Search for other works by this author on:
Sabah Alkass;
Sabah Alkass
Professor and Chair, Department of Building Civil & Environmental Engineering, Concordia University, Canada
Search for other works by this author on:
Osama Moselhi
Osama Moselhi
Professor and Chair, Department of Building Civil & Environmental Engineering, Concordia University, Canada
Search for other works by this author on:
Publisher: Emerald Publishing
Online ISSN: 1477-0857
Print ISSN: 1471-4175
© MCB UP Limited
2001
Construction Innovation: Information Process Management (2001) 1 (2): 91–105.
Citation
Al‐Hussein M, Alkass S, Moselhi O (2001), "An algorithm for mobile crane selection and location on construction sites". Construction Innovation: Information Process Management, Vol. 1 No. 2 pp. 91–105, doi: https://doi.org/10.1108/14714170110814532
Download citation file:
Suggested Reading
Enhanced mining reports service
Structural Survey (March,1999)
Commercial property database
Facilities (May,1999)
New 'tables' feature for Chemical Business NewsBase
Pigment & Resin Technology (December,1998)
House sales prices
Structural Survey (September,2005)
The first standard for measuring occupier costs
Facilities (January,2000)
Related Chapters
The structures management information system (SMIS) database
Bridge Management 5: Inspection, maintenance, assessment and repair: Proceedings of the 5th International Conference on Bridge Management, organized by the University of Surrey, 11–13 April 2005
ANALYSIS OF A LARGE DATABASE OF REINFORCED CONCRETE BRIDGE INSPECTION RECORDS
Challenges of Concrete Construction: Volume 3, Repair, Rejuvenation and Enhancement of Concrete: Proceedings of the International Seminar held at the University of Dundee, Scotland, UK on 5–6 September 2002
Data Technology: Turning Business Data into Business Value
The Machine Age of Customer Insight
Recommended for you
These recommendations are informed by your reading behaviors and indicated interests.
