Abstract:
Utilizing construction equipment to complete a variety of tasks effectively and efficiently is a hallmark of
modern construction. Simple hand tools, basic machinery, and powerful construction tools are all
examples of equipment. Construction equipment planning and management practice lack the necessary
policy to meet the standard. As result, many road projects in Ethiopia experienced time overrun, cost
overrun and low quality.
High productivity is essential for every business to flourish and survive, thus this article will fill the
vacuum left by improper equipment management on construction sites and investigate the productivity of
heavy-duty construction equipment. Because equipment management has a significant impact on
productivity, cost, and quality, this study will also look at the key elements that contributed to productivity
loss in the case study of public road construction projects to identify crucial interventions for adjustments
and it impacts on run cost.
The data collection method is integrated questionnaire, site observation, interview and case study.
Samples for the study have considered the whole population of Grade one contractors, ERA own force
road construction department and equipment renting companies majorly participating in road
construction projects. In this thesis, a descriptive and inferential statistical data analysis has been used.
Interpretations and discussions were made on the basis of result from the analysis.
According to the result from the analysis, the research comes up with the following conclusions.
The OEE index shows that all of the machines under consideration had performance issues with
productivity that ranged from 51 to 65%. Only the quality rates for all machines in all research projects
have a result that is above 94%, which is acceptable. The most crucial variables influencing equipment
productivity were the management factors (MnF). This study further provides recommendations like
develop equipment planning and management policy to reduce problems on construction equipment loss
on equipment productivity loss.
