Application Of Lean Construction Principles To Reduce Construction Process Waste Using Computer Simulation: A Case Study
Keywords
Arena; Computer simulation; Construction process waste; Lean construction
Abstract
Waste in the construction industry has been the subject of several research projects around the world in recent years. Researchers implement different methods to reduce the amount of waste in the construction industry. One of the effective methods for reducing waste is the application of lean approaches. Lean construction is a result of the introduction of a new form of production management. Although lean construction is still evolving, its generic principles, techniques and tools can already be applied. Waste reduction is one of the basic concepts of lean thinking. In general, project managers tend to conceptualise 'waste' as physical construction waste, but lean thinking believes that there are noticeable wastes hidden in construction processes (such as non-value-adding activities and waiting time). We aim at examining the ability of lean construction principles to reduce construction process waste through a case study (reinforcement process). Computer simulation is utilised to reveal the results of lean principles application prior to real implementation. Results show that different kinds of waste in a construction process can be reduced via adopting lean construction principles using computer simulation.
Publication Date
1-1-2015
Publication Title
International Journal of Services and Operations Management
Volume
20
Issue
4
Number of Pages
461-480
Document Type
Article
Personal Identifier
scopus
DOI Link
https://doi.org/10.1504/IJSOM.2015.068528
Copyright Status
Unknown
Socpus ID
84926466024 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84926466024
STARS Citation
Nikakhtar, Amin; Hosseini, Alireza Abbasian; Wong, Kuan Yew; and Zavichi, Amir, "Application Of Lean Construction Principles To Reduce Construction Process Waste Using Computer Simulation: A Case Study" (2015). Scopus Export 2015-2019. 891.
https://stars.library.ucf.edu/scopus2015/891