Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia: Quasi-Experimental Design for Cost-Effectiveness Assessment

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Main Author: Kassaye, Mekuria
Format: Recurso digital
Language:English
Published: Zenodo 2003
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author Kassaye, Mekuria
author_facet Kassaye, Mekuria
contents <p>The industrialization of Ethiopia has led to an increasing demand for machinery in various sectors such as mining, manufacturing, and construction. A mixed-method approach was employed, incorporating surveys, interviews, and financial data analysis to assess the performance and costs of existing fleets. The analysis revealed that a specific fleet management system reduced operational costs by approximately 15% compared to traditional methods. This study provides evidence for the potential cost savings in industrial machinery fleets through optimised management strategies, which can be replicated across Ethiopia's industries. Industrial stakeholders should consider implementing similar fleet optimization systems to enhance their operations and reduce costs. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18772064
institution Zenodo
language eng
publishDate 2003
publisher Zenodo
record_format zenodo
spellingShingle Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia: Quasi-Experimental Design for Cost-Effectiveness Assessment
Kassaye, Mekuria
Ethiopia
Fleet Management
Methodology
Cost-Effectiveness
Quasi-Experimental Design
Resource Allocation
Supply Chain Optimization
<p>The industrialization of Ethiopia has led to an increasing demand for machinery in various sectors such as mining, manufacturing, and construction. A mixed-method approach was employed, incorporating surveys, interviews, and financial data analysis to assess the performance and costs of existing fleets. The analysis revealed that a specific fleet management system reduced operational costs by approximately 15% compared to traditional methods. This study provides evidence for the potential cost savings in industrial machinery fleets through optimised management strategies, which can be replicated across Ethiopia's industries. Industrial stakeholders should consider implementing similar fleet optimization systems to enhance their operations and reduce costs. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p>
title Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia: Quasi-Experimental Design for Cost-Effectiveness Assessment
topic Ethiopia
Fleet Management
Methodology
Cost-Effectiveness
Quasi-Experimental Design
Resource Allocation
Supply Chain Optimization
url https://doi.org/10.5281/zenodo.18772064