Mathematical model to optimally solve the lift planning problem in high-rise construction projects

Jalali Yazdi, A; Maghrebi, M; Bolouri Bazaz, J

Mathematical model to optimally solve the lift planning problem in high-rise construction projects

Jalali Yazdi, A

Maghrebi, M Bolouri Bazaz, J

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Publication Type:: Journal Article
Citation:: Automation in Construction, 2018, 92 pp. 120 - 132
Issue Date:: 2018-08-01

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Field	Value	Language
dc.contributor.author	Jalali Yazdi, A https://orcid.org/0000-0002-4419-9504	en_US
dc.contributor.author	Maghrebi, M	en_US
dc.contributor.author	Bolouri Bazaz, J	en_US
dc.date.issued	2018-08-01	en_US
dc.identifier.citation	Automation in Construction, 2018, 92 pp. 120 - 132	en_US
dc.identifier.issn	0926-5805	en_US
dc.identifier.uri	http://hdl.handle.net/10453/131691
dc.description.abstract	© 2018 Elsevier B.V. The availability of resources such as workforce and materials at each level of a high-rise construction project just before the commencement of building tasks is a crucial issue that might have direct impacts on project progress. To avoid delays caused by lack of human resources and construction materials, a construction management team always tries to find a better way to facilitate supply chain process specifically for construction projects facing a significant number of simultaneous and repetitive tasks. The other challenge in a high-rise construction project is vertical transportation that requires special machinery e.g. cranes or lifts, and also, maximizing their utilities. In this paper, it is tried to automate vertical transportation planning process in high-rise construction projects by introducing a platform that handles the entire lifting process. This platform considers (i) tasks attributes (e.g. required resources, location and commencement time) from the project schedule, (ii) lifting system specifications (e.g. travel speed, weight, and volume capacity) and (iii) project geometrics (e.g. current height of the project). In details, the introduced platform provides an optimized daily delivery plan by developing a Mixed-Integer Programming (MIP) model that covers workforce and construction materials. In this paper, the proposed platform is also tested using field data obtained from a 34-story construction project in Mashhad, Iran. The model could find a solution with 0% optimality gap in approximately 1 h, which is an acceptable amount of computational cost for the problem. The results show how the introduced platform can assist the construction management team to efficiently handle the supply process within stories while avoiding delays caused by a lack of resources required for each task.	en_US
dc.relation.ispartof	Automation in Construction	en_US
dc.relation.isbasedon	10.1016/j.autcon.2018.03.029	en_US
dc.subject.classification	Building & Construction	en_US
dc.title	Mathematical model to optimally solve the lift planning problem in high-rise construction projects	en_US
dc.type	Journal Article
utslib.citation.volume	92	en_US
utslib.for	1202 Building	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	09 Engineering	en_US
utslib.for	12 Built Environment and Design	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Built Environment
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US
pubs.volume	92	en_US

Abstract:

© 2018 Elsevier B.V. The availability of resources such as workforce and materials at each level of a high-rise construction project just before the commencement of building tasks is a crucial issue that might have direct impacts on project progress. To avoid delays caused by lack of human resources and construction materials, a construction management team always tries to find a better way to facilitate supply chain process specifically for construction projects facing a significant number of simultaneous and repetitive tasks. The other challenge in a high-rise construction project is vertical transportation that requires special machinery e.g. cranes or lifts, and also, maximizing their utilities. In this paper, it is tried to automate vertical transportation planning process in high-rise construction projects by introducing a platform that handles the entire lifting process. This platform considers (i) tasks attributes (e.g. required resources, location and commencement time) from the project schedule, (ii) lifting system specifications (e.g. travel speed, weight, and volume capacity) and (iii) project geometrics (e.g. current height of the project). In details, the introduced platform provides an optimized daily delivery plan by developing a Mixed-Integer Programming (MIP) model that covers workforce and construction materials. In this paper, the proposed platform is also tested using field data obtained from a 34-story construction project in Mashhad, Iran. The model could find a solution with 0% optimality gap in approximately 1 h, which is an acceptable amount of computational cost for the problem. The results show how the introduced platform can assist the construction management team to efficiently handle the supply process within stories while avoiding delays caused by a lack of resources required for each task.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/131691