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Improving Productivity of Concreting Equipment: Failure Modeling

Version 2 2024-06-05, 01:46
Version 1 2023-10-24, 23:52
conference contribution
posted on 2024-06-05, 01:46 authored by A Ghosh, Abid Hasan, Kumar Neeraj Jha
There is a growing reliance on concrete batching plants and ready-mix concrete presently due to faster work, uniform quality of concrete, eco-friendly nature and reduction in wastage. Rapid changes in the type of equipment and technological advancement has restructured the dynamics of the construction industry. Hence improving the productivity of Concrete Batching Plants and their supporting equipment will ensure better quality, durable and robust infrastructure development economically and sustainably. The high variability in site concreting operations, complex problems in logistical and combinational optimization are major hindrance factors that affect effective management strategies/procedures. Overall Reliability of the System (Concrete Batching Plant and Transit Mixer) is calculated using k out of n method algorithm developed by Barlow Heidman. A regression model is then developed for each of the equipment that tries to find out the factors on which the time to failure of a concrete batching plant depends upon and establishes a mathematical relationship with an acceptable level of accuracy. The model will act as a tool for future forecasting so that effective maintenance strategies can be duly formulated, and maintenance crew allotted/kept on standby just before the next failure to minimize loss of productivity due to equipment breakdown.

History

Location

Colombo, Sri Lanka

Start date

2018-07-02

End date

2018-07-04

Publication classification

E2.1 Full written paper - non-refereed / Abstract reviewed

Editor/Contributor(s)

Ahmed SM, Shah A, Azhar S

Title of proceedings

Proceedings of the 10th International Conference on Construction Industry in the 21st Century

Event

The Tenth International Conference on Construction in the 21st Century (CITC-10)

Publisher

East Carolina University

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