EconPapers    
Economics at your fingertips  
 

How to increase productivity with simulation practices in underground projects?

Mehmet Enes Aksüllü and Gürkan Emre Gürcanlı

International Journal of Productivity and Quality Management, 2025, vol. 46, issue 3, 310-344

Abstract: The efficient allocation and use of resources is crucial in large and complex construction projects. However, in many countries including Turkey, planning, control, and efficiency have been approached through past experience and simplistic mathematical models. This lack of integration in project scheduling has resulted in cost overruns and inefficiencies. This paper presents a study based on real field observations and practices, aiming to simulate repetitive construction operations in four different construction sites in Istanbul. The focus is on the relationship between lean construction and simulation. The study utilises the EZStrobe simulation tool. Four cases are examined, including a pipe jacking operation, a dry batch and delivery placement operation, and three tunnelling projects using the new Australian tunnelling method. The results demonstrate that real-time projects can be effectively simulated to assess resource productivity. The simulation system can also be used in ongoing or upcoming projects to optimise resource utilisation, minimise waste, and make informed decisions. Ultimately, the use of simulation models can lead to reduced resource requirements, lower costs, shorter cycle times, and higher productivity in construction operations.

Keywords: simulation; construction industry; productivity; lean construction; EzStrobe; new Australian tunnelling method; NATM. (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=149940 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijpqma:v:46:y:2025:i:3:p:310-344

Access Statistics for this article

More articles in International Journal of Productivity and Quality Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-11-25
Handle: RePEc:ids:ijpqma:v:46:y:2025:i:3:p:310-344