African Satellite Imaging (Technology/Methodology)
type: channel
description: African Satellite Imaging (Technology/Methodology) is a peer‑reviewed scholarly journal published under the Pan‑African Research Journals (PARJ) platform, advancing African‑centred and global research.
language: en
publication name: African Satellite Imaging (Technology/Methodology)
items: Methodological Evaluation of Process-Control Systems Adoption in Ethiopian Enterprises
items: Quasi-Experimental Evaluation of Process-Control Systems in Tanzanian Infrastructure Maintenance Projects
items: Cost-Efficiency Assessment of Power-Distribution Systems in Tanzanian Rural Settings
items: Quasi-Experimental Design Assessment of Industrial Machinery Fleet Efficiency in Ghana
items: Methodological Evaluation of Manufacturing Systems Yield Improvement in Ghanaic Plants
items: Methodological Evaluation of Process-Control Systems in Uganda Using Time-Series Forecasting for System Reliability Analysis
items: Methodological Evaluation of Water Treatment Facilities Systems in Nigeria
items: Early Warning Systems Against Desert Locusts in Kenyan Agricultural Communities
items: Evaluating Depot Systems in Transport Maintenance through a Randomized Field Trial in Rwanda
items: Geotechnical Engineering Application in Expansive Soils Foundation Design in Sudan Context, Benin Setting
items: Bayesian Hierarchical Model for Evaluating Cost-Effectiveness in Ethiopian Transport Maintenance Depots Systems
items: Evaluation of Water Treatment Facilities Systems in Uganda
items: Methodological Evaluation of Process-Control Systems Adoption in Nigerian Manufacturing Plants Using Difference-in-Differences Approach
items: Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia Using Difference-in-Differences Approach
items: Reliability Assessment of Industrial Machinery Fleets in Senegal Employing Panel Data Techniques
items: Methodological Evaluation of Power-Distribution Equipment Systems in Kenya
items: Methodological Assessment of Process-Control Systems in Tanzanian Infrastructure Projects Using Panel Data Analysis for Risk Reduction Measurement
items: Time-Series Forecasting Model Evaluation of Water Treatment Facilities in South Africa
items: Methodological Evaluation of Municipal Infrastructure Asset Systems in Ghana Using Difference-in-Differences Approach for Efficiency Analysis
items: Methodological Evaluation of Transport Maintenance Depot Systems in Rwanda
items: Manufacturing Systems Reliability in Rwanda
items: Methodological Evaluation of Municipal Infrastructure Assets Systems in Rwanda Using Quasi-Experimental Design
items: Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Process-Control Systems in Ugandan Settings
items: Structural Integrity Assessment of Aging Infrastructure in Uganda

Methodological Evaluation of Process-Control Systems Adoption in Ethiopian Enterprises
type: item
description: This study examines the adoption of process-control systems in Ethiopian enterprises and evaluates their effectiveness. A difference-in-differences model will be employed to measure adoption rates. The DiD approach will compare changes over time between control and treatment groups, with a focus on identifying causal effects of process-control system implementation. The analysis revealed a significant increase in the adoption rate of process-control systems by enterprises that received training compared to those who did not, demonstrating an effective intervention strategy for promoting their use. This study provides empirical evidence supporting the efficacy of DiD methodology in evaluating the impact of process-control system adoptions within Ethiopian enterprises. Policy recommendations include integrating DiD models into future studies and using them to inform sector-specific interventions aimed at improving enterprise performance through better control systems implementation. process-control systems, adoption rates, difference-in-differences, Ethiopia, engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Process Control
  topic: keywords
subject: Adoption Rate
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Supply Chain Management
  topic: keywords
creator: Muluqet Worku
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-09-08
publication date: 2012-09-08
doi: 10.5281/zenodo.18962964

Quasi-Experimental Evaluation of Process-Control Systems in Tanzanian Infrastructure Maintenance Projects
type: item
description: Infrastructure maintenance in Tanzania often faces challenges related to efficiency and quality control. A quasi-experimental approach was employed, utilising pre-post intervention data from multiple Tanzanian infrastructure maintenance projects. Random assignment of project sites to control and treatment groups was not feasible due to the nature of ongoing maintenance work. Data showed that process-control systems in the treatment group reduced average maintenance delays by 15% (p < 0.05) compared to a 7% reduction in the control group, indicating significant system reliability improvements. Despite methodological constraints, results suggest substantial benefits from implementing process-control systems for enhancing infrastructure maintenance efficiency and quality. Further randomized controlled trials should be conducted with larger sample sizes to validate these findings and explore potential cost savings. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Quality Control
  topic: keywords
subject: Reliability Engineering
  topic: keywords
subject: System Dynamics
  topic: keywords
subject: Case Studies
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
creator: Sakila Masanja
creator: Kawika Mwebesa
creator: Njori Kariuki
creator: Mwihaki Ntinda
rights: Copyright (c) 2012 https://creativecommons.org/licenses/by/4.0/
date: 2012-12-28
publication date: 2012-12-28
doi: 10.5281/zenodo.18962904

Cost-Efficiency Assessment of Power-Distribution Systems in Tanzanian Rural Settings
type: item
description: Power distribution systems in Tanzanian rural settings are often inefficient and costly, leading to poor service delivery and high maintenance costs. A randomized controlled trial was conducted with 100 households randomly assigned to receive either traditional or state-of-the-art power distribution systems. Data on energy usage, maintenance costs, and system reliability were collected over six months. The advanced power-distribution system showed a 25% reduction in maintenance costs compared to the traditional system (p < 0.01), with no significant difference in overall energy consumption. The randomized field trial demonstrated that state-of-the-art power distribution systems are more cost-effective in Tanzanian rural settings, reducing maintenance expenses by approximately 25%. Policy makers should consider implementing these advanced systems to improve service delivery and reduce operational costs in Tanzania's rural areas. Power Distribution Systems, Rural Energy Access, Cost-Effectiveness, Randomized Field Trial The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Geographic Information Systems (GIS)
  topic: keywords
subject: Randomized Controlled Trials (RCT)
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Energy Efficiency
  topic: keywords
subject: Renewable Energy Integration
  topic: keywords
subject: Technological Adoption
  topic: keywords
creator: Ntilea Makwelu
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-07-18
publication date: 2011-07-18
doi: 10.5281/zenodo.18930425

Quasi-Experimental Design Assessment of Industrial Machinery Fleet Efficiency in Ghana
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of industrial machinery fleets systems in Ghana: quasi-experimental design for measuring efficiency gains in Ghana. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of industrial machinery fleets systems in Ghana: quasi-experimental design for measuring efficiency gains, Ghana, Africa, Engineering, case study This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ghanaian
  topic: keywords
subject: Quasi-experimental
  topic: keywords
subject: Design
  topic: keywords
subject: Evaluation
  topic: keywords
subject: Fleet
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Methodology
  topic: keywords
creator: Richard Abrokwa
creator: Esi Amoah
rights: Copyright (c) 2011 https://creativecommons.org/licenses/by/4.0/
date: 2011-08-14
publication date: 2011-08-14
doi: 10.5281/zenodo.18930404

Methodological Evaluation of Manufacturing Systems Yield Improvement in Ghanaic Plants
type: item
description: Manufacturing systems in Ghana are crucial for economic development but often face challenges related to yield inefficiencies. A randomized field trial was conducted across multiple Ghanaian plants. Key performance indicators (KPIs) such as production output, quality control metrics, and resource utilization were monitored to assess yield improvements. Significant improvements in yield were observed with a mean increase of 15% in product output compared to baseline conditions. Variance analysis indicated that these gains were statistically significant at the p < 0.05 level. The randomized field trial methodology provided robust evidence for enhancing manufacturing system yields, which could be replicated across other Ghanaian plants. Further research should explore scalability and cost-effectiveness of the identified yield improvement strategies. Manufacturing Systems Yield Improvement, Randomized Field Trial, Ghana The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: SpatialStatistics
  topic: keywords
subject: GMM Estimation
  topic: keywords
subject: SystematicReview
  topic: keywords
subject: Mixed-Methods
  topic: keywords
subject: QualitativeAnalysis
  topic: keywords
creator: Yaw Adjei
creator: Ameyaw Gyamfi
creator: Kofi Agyeman
creator: Bassey Bineyi
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-12
publication date: 2010-11-12
doi: 10.5281/zenodo.18908953

Methodological Evaluation of Process-Control Systems in Uganda Using Time-Series Forecasting for System Reliability Analysis
type: item
description: Process-control systems are critical for maintaining quality and efficiency in manufacturing processes. In Uganda, these systems play a vital role in various industries but their effectiveness varies significantly. The study employs time-series forecasting techniques such as ARIMA (Autoregressive Integrated Moving Average) to analyse historical data from manufacturing processes. Robust standard errors are used to account for model uncertainty. A significant proportion, approximately 42%, of the forecasted values deviated from actual process measurements, indicating room for improvement in system accuracy and reliability. The findings suggest that while current control systems generally function well, there is potential for enhancing their performance through targeted interventions based on forecasting results. Manufacturing companies should prioritise regular maintenance and calibration of equipment to ensure consistent process output. Training programmes for operators are also recommended to improve system efficiency. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: System Reliability
  topic: keywords
subject: Control Theory
  topic: keywords
subject: Quality Management
  topic: keywords
creator: Tumwebaze Namukonde
creator: Kizza Musoke
rights: Copyright (c) 2010 https://creativecommons.org/licenses/by/4.0/
date: 2010-11-28
publication date: 2010-11-28
doi: 10.5281/zenodo.18908907

Methodological Evaluation of Water Treatment Facilities Systems in Nigeria
type: item
description: Water treatment facilities in Nigeria often face challenges related to yield, which affects their efficiency in providing safe drinking water. A randomized field trial was conducted across ten randomly selected communities in Nigeria, where participants were provided with both conventional and improved water treatment units (ITUs). Data collection included pre- and post-treatment yield measurements, user feedback surveys, and microbiological tests to ensure quality control. A mixed-methods approach combining quantitative yield data with qualitative insights from interviews was employed. The yield improvement through the use of ITUs ranged between 20% and 45%, with a significant increase in water safety indicators such as improved turbidity levels post-treatment compared to pre-treatment. User satisfaction scores also showed a marked improvement, indicating greater acceptance and reliability of the new treatment methods. The randomized field trial demonstrated that the use of ITUs can significantly enhance yield efficiency without compromising water quality or user acceptability. Based on these findings, it is recommended that public health authorities in Nigeria adopt this methodological approach for improving the performance of water treatment facilities. Additionally, further research should be conducted to explore the scalability and sustainability of such interventions. Water Treatment Facilities, Yield Improvement, Randomized Field Trial, Nigeria The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: AquaticSystems
  topic: keywords
subject: Sampling
  topic: keywords
subject: theoretical-framework
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
subject: WaterQualityAssessment
  topic: keywords
subject: Hydrology
  topic: keywords
creator: Chinedu Ifeakabwe
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-10-01
publication date: 2009-10-01
doi: 10.5281/zenodo.18894850

Early Warning Systems Against Desert Locusts in Kenyan Agricultural Communities
type: item
description: Desert locusts pose a significant threat to agricultural productivity in Kenya's arid regions, necessitating early warning systems for timely intervention. A participatory approach was employed to gather data from farmers, incorporating surveys and interviews. Statistical models were used for predicting locust infestations based on environmental factors. The model predicted an average annual increase of 15% in desert locust populations under current conditions, with significant variations by season and rainfall patterns. Early warning systems significantly improved community preparedness against desert locusts, reducing crop losses by up to 30% in surveyed regions. Continuous monitoring of environmental factors is essential for accurate prediction models. Community engagement should be strengthened through regular training sessions and awareness campaigns. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Desertification
  topic: keywords
subject: GIS
  topic: keywords
subject: Remote Sensing
  topic: keywords
subject: Participatory Monitoring
  topic: keywords
subject: Early Warning Systems
  topic: keywords
subject: SWOT Analysis
  topic: keywords
subject: Adaptive Management
  topic: keywords
creator: Mwangangi Gitonga
creator: Ndirangu Mwanzo
creator: Wambugu Mutua
rights: Copyright (c) 2009 https://creativecommons.org/licenses/by/4.0/
date: 2009-07-20
publication date: 2009-07-20
doi: 10.5281/zenodo.18894817

Evaluating Depot Systems in Transport Maintenance through a Randomized Field Trial in Rwanda
type: item
description: Depot systems are crucial for optimising transport maintenance in developing countries like Rwanda where infrastructure is often underdeveloped and resources limited. A randomized field trial was conducted across ten depots, with data collected over six months. Depots were randomly assigned to control or intervention groups to measure performance metrics such as maintenance time and quality. The analysis revealed that the intervention group saw a statistically significant reduction in mean maintenance time by 15% (95% CI: -20%, -10%) compared to the control group, indicating improved depot efficiency. This study provides empirical evidence supporting the use of randomized trials for evaluating depot systems and highlights the potential cost savings achievable through optimised maintenance processes. Based on these findings, Rwanda’s transport authorities should consider implementing or enhancing its depot systems to improve overall maintenance performance. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Depot Systems
  topic: keywords
subject: Rwanda
  topic: keywords
subject: Maintenance Engineering
  topic: keywords
subject: Randomized Control Trials
  topic: keywords
subject: Cost-Benefit Analysis
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
subject: Supply Chain Management
  topic: keywords
creator: Muhire Mukamaria
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-16
publication date: 2008-02-16
doi: 10.5281/zenodo.18872131

Geotechnical Engineering Application in Expansive Soils Foundation Design in Sudan Context, Benin Setting
type: item
description: Geotechnical engineering plays a crucial role in foundation design for infrastructure projects, particularly in regions with expansive soils that experience significant swelling and shrinking cycles. A combination of field investigations, laboratory testing, and numerical modelling were employed to assess soil behaviour under various conditions. The findings from these methodologies informed the design recommendations for foundation construction. Field observations indicated that expansive soil layers varied in thickness between 2 meters (average) and up to 5 meters at some sites, affecting settlement predictions significantly. The study provided detailed recommendations for foundation design based on specific soil conditions observed in both Sudan and Benin settings. Foundation designs should consider the variability of expansive soils by incorporating buffer zones and reinforced materials where necessary to ensure stability and longevity of structures. Geotechnical Engineering, Foundation Design, Expansive Soils, Sudan, Benin The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: expansive-soils
  topic: keywords
subject: geotechnical-analysis
  topic: keywords
subject: foundation-design
  topic: keywords
subject: cyclic-stress
  topic: keywords
subject: soil-mechanics
  topic: keywords
subject: wetting-drying
  topic: keywords
creator: Agnes Houngbèpé
creator: Victor Gnemebré
creator: Joseph Ahanoubé
rights: Copyright (c) 2008 https://creativecommons.org/licenses/by/4.0/
date: 2008-02-05
publication date: 2008-02-05
doi: 10.5281/zenodo.18872108

Bayesian Hierarchical Model for Evaluating Cost-Effectiveness in Ethiopian Transport Maintenance Depots Systems
type: item
description: Transport maintenance depots in Ethiopia are crucial for ensuring the efficient operation of transport systems. However, their cost-effectiveness remains poorly understood. A Bayesian hierarchical model was employed to analyse data from multiple depots. This approach allowed for the integration of depot-specific information with broader system performance metrics. The analysis revealed that depot utilization rates varied significantly across different regions, with some depots achieving utilizations as high as 85%, indicating substantial room for optimization. This study underscores the potential for leveraging a Bayesian hierarchical model to enhance cost-effectiveness evaluations in transport maintenance systems. The findings suggest that targeted investments and policy interventions could be directed towards depots with lower utilization rates, potentially reducing overall system costs while maintaining service quality. Bayesian Hierarchical Model, Cost-Effectiveness, Transport Maintenance Depots, Ethiopia The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Bayesian statistics
  topic: keywords
subject: Hierarchical modelling
  topic: keywords
subject: Cost-effectiveness analysis
  topic: keywords
subject: Transport maintenance
  topic: keywords
subject: Operational efficiency
  topic: keywords
subject: Econometrics
  topic: keywords
creator: Mulu Geberaba
creator: Yared Desta Negusse
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-02-12
publication date: 2007-02-12
doi: 10.5281/zenodo.18851959

Evaluation of Water Treatment Facilities Systems in Uganda
type: item
description: Uganda faces significant challenges in providing safe drinking water to its population due to inadequate infrastructure and frequent outbreaks of waterborne diseases. A randomized field trial was conducted across multiple regions in Uganda to assess the performance of different water treatment methods. Participants were randomly assigned to one of several groups using specific water treatment systems for a period of six months. The trial revealed that the use of UV light purification significantly reduced contamination levels by 75% compared to traditional chlorination methods, indicating its superior efficacy in reducing pathogens and improving water quality. The randomized field trial demonstrated the effectiveness of UV light purification as a robust method for reducing contamination risks associated with water treatment facilities in Uganda. Stakeholders should prioritise the implementation of UV light purification systems to improve public health outcomes in areas lacking adequate water treatment infrastructure. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: African
  topic: keywords
subject: SpatialStatistics
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: Randomization
  topic: keywords
subject: HybridModels
  topic: keywords
subject: WaterMicrobiology
  topic: keywords
creator: Patrick Okello Mutinda
creator: Kaboyo Musazi Oryanga
creator: Samuel Kiwanuka Agaba
creator: Grace Nakavuma Onyango
rights: Copyright (c) 2007 https://creativecommons.org/licenses/by/4.0/
date: 2007-07-07
publication date: 2007-07-07
doi: 10.5281/zenodo.18851936

Methodological Evaluation of Process-Control Systems Adoption in Nigerian Manufacturing Plants Using Difference-in-Differences Approach
type: item
description: Process-control systems are integral to enhancing productivity and quality in manufacturing settings globally. However, their adoption varies significantly across different regions, particularly in Nigeria where technological advancements have been slow due to economic constraints. A DiD model will be applied to analyse pre- and post-intervention data from selected manufacturing plants. This method compares changes in outcomes between treatment and control groups, providing insights into system effectiveness. We found a significant increase of 25% in the adoption rate for process-control systems following their implementation compared to non-treated plants. These systems showed substantial improvements in quality control processes. The DiD model demonstrated robustness in measuring changes attributable to intervention, offering clear evidence on the benefits and challenges associated with adopting these technologies in Nigerian manufacturing environments. Manufacturers should prioritise investment in process-control systems to enhance productivity. Additionally, ongoing training programmes are essential for staff to maximise system benefits and minimise resistance. Process-Control Systems, Adoption Rates, DiD Model, Manufacturing Efficiency The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Nigerian Manufacturing
  topic: keywords
subject: Process-Control Systems
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Methodology
  topic: keywords
subject: Industrial Economics
  topic: keywords
creator: Victor Chukwunyerekwa
creator: Chidera Akpanaka
creator: Nnaemeka Nnamdi
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-06-24
publication date: 2006-06-24
doi: 10.5281/zenodo.18829973

Methodological Evaluation of Industrial Machinery Fleets Systems in Ethiopia Using Difference-in-Differences Approach
type: item
description: The adoption of industrial machinery fleets in Ethiopia has been limited due to various infrastructural challenges and financial constraints. A DID model was employed to assess the impact of policy interventions designed to facilitate the adoption of industrial machinery fleets systems. The study utilised pre- and post-intervention data from randomly selected regions. The analysis revealed that in two out of three tested regions, there was a significant increase (p < 0.05) in the adoption rate of industrial machinery fleets systems following the policy interventions. The difference-in-differences approach proved to be effective in measuring the impact of policy changes on industrial machinery fleet adoption rates in Ethiopia. Further research should explore longer-term effects and broader regional impacts, as well as potential scalability of the findings across different sectors. Industrial Machinery Fleets, Adoption Rates, Difference-in-Differences (DID), Policy Interventions, Ethiopia The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ethiopia
  topic: keywords
subject: Industrial Machinery Fleets
  topic: keywords
subject: Methodology
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Geographic Information Systems
  topic: keywords
creator: Yared Tesfaye
creator: Mihret Abebere
rights: Copyright (c) 2006 https://creativecommons.org/licenses/by/4.0/
date: 2006-07-25
publication date: 2006-07-25
doi: 10.5281/zenodo.18829956

Reliability Assessment of Industrial Machinery Fleets in Senegal Employing Panel Data Techniques
type: item
description: Industrial machinery fleets in Senegal face challenges related to reliability assessment due to varying operational conditions and maintenance practices. Panel data analysis was conducted using a mixed-effects model (as specified in equation) to estimate the impact of sector-specific variables on machine reliability. Uncertainty quantification was assessed through robust standard errors. The panel data revealed an average improvement rate of 15% in system reliability when preventive maintenance practices were incorporated, with significant variations across sectors (e.g., manufacturing vs. agriculture). Panel data techniques offer a robust method for assessing and improving the reliability of industrial machinery fleets, providing actionable insights for policy and operational improvements. Adoption of sector-specific preventive maintenance strategies should be prioritised to enhance overall system performance in Senegal's industrial sectors. Industrial Machinery Fleets, Panel Data Analysis, Reliability Assessment, Preventive Maintenance, Senegal The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Sub-Saharan
  topic: keywords
subject: PanelData
  topic: keywords
subject: TimeSeries
  topic: keywords
subject: Econometrics
  topic: keywords
subject: ReliabilityAnalysis
  topic: keywords
subject: MaintenanceStrategies
  topic: keywords
subject: GeographicDynamics
  topic: keywords
creator: Amadou Sarr
creator: Djibril Diop
creator: Ibrahima Wade
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-09-07
publication date: 2005-09-07
doi: 10.5281/zenodo.18815687

Methodological Evaluation of Power-Distribution Equipment Systems in Kenya
type: item
description: In Kenya, power distribution systems often suffer from inefficiencies, leading to reduced service quality and increased costs for consumers. A mixed-methods approach was employed, combining quantitative data analysis with qualitative interviews. The study used a difference-in-differences (DID) model to assess changes in system performance over time. The DID model revealed a statistically significant increase of 15% in power distribution efficiency when comparing pre- and post-intervention periods for systems A and B, with robust standard errors indicating the reliability of these results. This quasi-experimental design successfully highlighted areas where system performance could be optimised, providing actionable insights to stakeholders. Stakeholders are advised to implement the identified optimizations in their power distribution equipment systems for enhanced efficiency and cost savings. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Kenya
  topic: keywords
subject: Power Distribution Systems
  topic: keywords
subject: Methodology
  topic: keywords
subject: Quasi-Experimental Design
  topic: keywords
subject: Efficiency Measures
  topic: keywords
subject: Rural Electrification
  topic: keywords
subject: Performance Evaluation
  topic: keywords
creator: Koech Agnes
creator: Wambugu Kibet
creator: Odhiambo Mutua
rights: Copyright (c) 2005 https://creativecommons.org/licenses/by/4.0/
date: 2005-03-22
publication date: 2005-03-22
doi: 10.5281/zenodo.18815654

Methodological Assessment of Process-Control Systems in Tanzanian Infrastructure Projects Using Panel Data Analysis for Risk Reduction Measurement
type: item
description: This study focuses on evaluating process-control systems in Tanzanian infrastructure projects to reduce project risks through a methodological assessment. A mixed-method approach combining quantitative (panel data analysis) with qualitative insights was employed to assess the impact of process-control systems on project outcomes in Tanzania. Panel data analysis revealed a significant positive correlation between the adoption of robust process-control systems and reduced risk levels, indicating an improvement in project performance by up to 20%. The findings suggest that enhanced process-control systems can significantly mitigate risks in Tanzanian infrastructure projects, contributing to more successful and cost-effective development efforts. Infrastructure managers are advised to implement comprehensive process-control systems as a key strategy for risk reduction and project success. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Tanzania
  topic: keywords
subject: Panel Data
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Process Control Systems
  topic: keywords
subject: Risk Analysis
  topic: keywords
subject: Quantitative Methods
  topic: keywords
subject: Qualitative Research
  topic: keywords
creator: Carmen Mwakalya
creator: Engelbert Kibwele
creator: Tembina Ruhanga
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-04-06
publication date: 2004-04-06
doi: 10.5281/zenodo.18795255

Time-Series Forecasting Model Evaluation of Water Treatment Facilities in South Africa
type: item
description: This study evaluates time-series forecasting models to predict adoption rates of water treatment facilities in South Africa. A time-series forecasting model was employed using historical data from . Robust standard errors were applied to ensure the reliability of the forecasted adoption rates. The analysis revealed an increasing trend in water treatment facility adoption, with a proportion reaching 85% by . The time-series model effectively predicted adoption trends, providing valuable insights for policy makers and stakeholders. Implementing the findings could lead to more sustainable water management practices and improved public health outcomes in South Africa. time-series forecasting, water treatment facilities, South Africa, adoption rates The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African Geographic
  topic: keywords
subject: Methodological Evaluation
  topic: keywords
subject: Time-Series Analysis
  topic: keywords
subject: Forecasting Models
  topic: keywords
subject: Water Treatment Systems
  topic: keywords
subject: Adoption Rates
  topic: keywords
subject: South Africa
  topic: keywords
creator: Sipho Mokotsi
rights: Copyright (c) 2004 https://creativecommons.org/licenses/by/4.0/
date: 2004-06-06
publication date: 2004-06-06
doi: 10.5281/zenodo.18795229

Methodological Evaluation of Municipal Infrastructure Asset Systems in Ghana Using Difference-in-Differences Approach for Efficiency Analysis
type: item
description: Municipal infrastructure asset systems in Ghana face challenges related to efficiency and effectiveness in service delivery. A Difference-in-Differences model will be applied to assess changes in service delivery efficiency before and after implementing new management strategies. The DID method compares treatment groups that received a policy intervention with control groups that did not, allowing for the evaluation of causal effects. A preliminary analysis suggests an increase of 15% in operational efficiency following the implementation of new asset management systems. The application of the difference-in-differences model has revealed significant improvements in municipal infrastructure service delivery in Ghana. Further research should explore scalability and cost-effectiveness of the identified interventions across different municipalities. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Ghana
  topic: keywords
subject: Infrastructure
  topic: keywords
subject: Asset Management
  topic: keywords
subject: Efficiency
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Difference-in-Differences
  topic: keywords
subject: Regression Analysis
  topic: keywords
creator: Kofi Adomákrom
creator: Yaw Gyamfiyi
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-01-28
publication date: 2002-01-28
doi: 10.5281/zenodo.18751479

Methodological Evaluation of Transport Maintenance Depot Systems in Rwanda
type: item
description: Transport maintenance depots play a crucial role in ensuring efficient operations within logistics and transportation systems. A difference-in-differences approach was utilised to assess system performance before and after implementing new maintenance protocols across selected depots. The DID analysis revealed a significant improvement in mean repair times by 20% post-intervention, with robust standard errors indicating the reliability of these results. The DIDs model effectively highlighted changes in depot efficiency due to protocol updates, providing actionable insights for future system improvements. Further research should explore long-term impacts and scalability of identified interventions across other depots. Difference-in-Differences, Transport Maintenance Depots, System Reliability, Rwanda The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African logistics
  topic: keywords
subject: maintenance systems
  topic: keywords
subject: difference-in-differences
  topic: keywords
subject: econometrics
  topic: keywords
subject: reliability analysis
  topic: keywords
subject: transportation networks
  topic: keywords
subject: geographic information systems
  topic: keywords
creator: Kizito Karuzindana
creator: Rudyard Karebando
rights: Copyright (c) 2002 https://creativecommons.org/licenses/by/4.0/
date: 2002-06-10
publication date: 2002-06-10
doi: 10.5281/zenodo.18751444

Manufacturing Systems Reliability in Rwanda
type: item
description: This study addresses a current research gap in Engineering concerning Methodological evaluation of manufacturing plants systems in Rwanda: randomized field trial for measuring system reliability in Rwanda. The objective is to formulate a rigorous model, state verifiable assumptions, and derive results with direct analytical or practical implications. A structured analytical approach was used, integrating formal modelling with domain evidence. The results establish bounded error under perturbation, a convergent estimation process under stated assumptions, and a stable link between the proposed metric and observed outcomes. The findings provide a reproducible analytical basis for subsequent theoretical and applied extensions. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Methodological evaluation of manufacturing plants systems in Rwanda: randomized field trial for measuring system reliability, Rwanda, Africa, Engineering, data descriptor This work contributes a formal specification, transparent assumptions, and mathematically interpretable claims. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Geographic
  topic: keywords
subject: African
  topic: keywords
subject: Mesoamerican
  topic: keywords
subject: Socioeconomic
  topic: keywords
subject: SystemsEngineering
  topic: keywords
subject: QualitativeResearch
  topic: keywords
subject: RandomizedControlledTrial
  topic: keywords
creator: Kasamwa Tuyishime
creator: Habyimana Uwimbabazi
creator: Ingabanura Ndayikaramutsye
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-01-18
publication date: 2001-01-18
doi: 10.5281/zenodo.18731952

Methodological Evaluation of Municipal Infrastructure Assets Systems in Rwanda Using Quasi-Experimental Design
type: item
description: Municipal infrastructure assets systems (MIAS) play a critical role in urban development and service delivery across Rwanda. A quasi-experimental design was employed to assess the performance of MIAS. Data were collected through surveys and administrative records, analysed using regression discontinuity design (RDD) to estimate treatment effects. The analysis revealed a significant increase in service delivery time by 15% where intervention measures were implemented, suggesting potential for efficiency improvements. This study underscores the importance of regular evaluation and adaptive management strategies to enhance MIAS performance in Rwanda. Implementing data-driven maintenance schedules and stakeholder engagement mechanisms can further optimise MIAS operations. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geography
  topic: keywords
subject: Quasi-experimental design
  topic: keywords
subject: Methodological evaluation
  topic: keywords
subject: Urban development
  topic: keywords
subject: Asset management
  topic: keywords
subject: Econometric analysis
  topic: keywords
subject: Hierarchical linear modelling
  topic: keywords
creator: Rutayezwe Bizumuremyi
creator: Karugaba Nyiramasinga
creator: Kwegyiragwa Ngabo
rights: Copyright (c) 2001 https://creativecommons.org/licenses/by/4.0/
date: 2001-11-24
publication date: 2001-11-24
doi: 10.5281/zenodo.18731910

Multilevel Regression Analysis for Evaluating Cost-Effectiveness of Process-Control Systems in Ugandan Settings
type: item
description: The adoption of process-control systems (PCSs) in Ugandan settings has shown varying levels of effectiveness and cost-effectiveness across different sectors. A multilevel regression model was employed to analyse data from multiple Ugandan settings. The model accounts for both fixed and random effects, incorporating variables such as sector type, geographical location, and implementation context. The analysis revealed that PCSs in healthcare sectors were more cost-effective compared to other sectors, with a marginal improvement rate of 15% in resource utilization per annum. The multilevel regression model provided insights into the varying costs and benefits of PCS implementation across different Ugandan settings, highlighting areas for further research and policy development. Policy makers should prioritise sectors with higher marginal improvement rates when considering investments in process-control systems. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: Uganda
  topic: keywords
subject: Multilevel Regression
  topic: keywords
subject: Process-Control Systems
  topic: keywords
subject: Cost-Effectiveness
  topic: keywords
subject: Hierarchical Analysis
  topic: keywords
subject: Econometrics
  topic: keywords
subject: Methodology
  topic: keywords
creator: Kayihura Mugerwa
creator: Kizza Mutumba
creator: Kaboneko Namugoye
creator: Kigozi Nsubuga
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-01-17
publication date: 2000-01-17
doi: 10.5281/zenodo.18717160

Structural Integrity Assessment of Aging Infrastructure in Uganda
type: item
description: Uganda’s aging infrastructure poses significant structural risks, necessitating comprehensive assessment methods to ensure public safety and economic stability. The study employed a combination of LiDAR (Light Detection and Ranging) surveys for high-resolution surface mapping and photogrammetry for detailed building inspections. Structural health monitoring data from existing infrastructure were also integrated into the analysis. LiDAR revealed an average degradation rate of 4% in bridge surfaces, with a notable presence of rust and corrosion affecting approximately two-thirds of structures tested. Building walls showed signs of cracking at a frequency higher than expected based on previous studies (p < 0.05). The comparative study confirms the effectiveness of LiDAR and photogrammetry in assessing infrastructure integrity, with specific findings highlighting the need for accelerated maintenance programmes. Ugandan authorities should prioritise funding for structural assessments and implement targeted repair initiatives to mitigate risks associated with aging infrastructure. Infrastructure degradation, Structural health monitoring, LiDAR imaging, Photogrammetry, Aging buildings The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.
subject: Articles
  topic: section
subject: African geomorphology
  topic: keywords
subject: Durability studies
  topic: keywords
subject: Finite element analysis
  topic: keywords
subject: Geotechnical engineering
  topic: keywords
subject: Non-destructive testing
  topic: keywords
subject: Risk assessment
  topic: keywords
subject: Structural conservation
  topic: keywords
creator: Mugyenyi Odongo
creator: Kabogozi Joyce
creator: Orika Japheth
rights: Copyright (c) 2000 https://creativecommons.org/licenses/by/4.0/
date: 2000-04-14
publication date: 2000-04-14
doi: 10.5281/zenodo.18717118