A Queuing Model to Improve the Utilization of Concreting Equipment

A. Hasan (), N. R. Sahoo (), A. Ghosh and K. N. Jha ()
Additional contact information
A. Hasan: Deakin University
N. R. Sahoo: Indian Institute of Technology
A. Ghosh: Deakin University
K. N. Jha: Indian Institute of Technology

A chapter in Proceedings of the 23rd International Symposium on Advancement of Construction Management and Real Estate, 2021, pp 992-1002 from Springer

Abstract: Abstract Equipment productivity plays a vital role in the successful completion of a construction project. Since concrete is used as a primary construction material in many construction projects, low productivity of concreting equipment affects both project cost and schedule. The present study proposes a queuing model to improve the productivity of concreting equipment. Three different case studies have been performed using this model to examine the impact of low utilization of equipment on cost. This model could help construction practitioners in optimizing fleet cost and usage of concreting equipment such as transit mixers and concrete pumps. It could be used to study the concreting processes in real-time and thereby, identify the issues that lead to their low output. The case studies revealed that lack of skilled operator along with poor planning and supervision while performing simultaneous jobs of concreting and other related activities affect productivity rates in concreting operations.

Keywords: Concreting equipment; Markovian process; Optimization; Productivity; Queuing model (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:sprchp:978-981-15-3977-0_75

Ordering information: This item can be ordered from
http://www.springer.com/9789811539770

DOI: 10.1007/978-981-15-3977-0_75

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().