SIMULATING LABOR PRODUCTIVITY IN A WASTE WATER TREATMENT PLANT USING SYSTEM DYNAMIC MODELING

Labor productivity is principal for economic efficiency and competitiveness, reflecting the ability of human resources to generate goods and services. Accurate measurement aids in comparing industries and regions, guiding businesses and policymakers. Previous research often lacks detailed data on the impacts of payment delays, overtime fatigue, and material shortages, hindering strategy development. This research addresses these gaps through analyzing factors affecting labor productivity in construction using AnyLogic simulation software. It aims to provide a comprehensive understanding of these factors' quantitative impacts and offer practical recommendations to enhance productivity, reduce costs, and shorten project completion times. AnyLogic models complex systems, facilitating process optimization and strategic planning. Key findings include that a 10-day payment delay reduces productivity by 2 units, a 20% skill level increase significantly enhances productivity, each hour of overtime reduces productivity by 5.08%, a 20% material shortage decreases productivity by 20%, and Boosting management efficiency by 10% improves productivity by 4.88%. The COVID-19 pandemic led to a 16.43% productivity reduction.

Authors

Institutions

Publication Details

Journal
Journal of Al-Azhar University Engineering Sector
Published
2024-10-01
DOI
https://doi.org/10.21608/auej.2024.312595.1700
Primary Topic
Industrial Automation and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SIMULATING LABOR PRODUCTIVITY IN A WASTE WATER TREATMENT PLANT USING SYSTEM DYNAMIC MODELING

Mohamed Badawy, Khaled Hamdy, Omar Essam
Journal of Al-Azhar University Engineering Sector
Industrial Automation and Control Systems
article

SIMULATING LABOR PRODUCTIVITY IN A WASTE WATER TREATMENT PLANT USING SYSTEM DYNAMIC MODELING

Mohamed Badawy, Khaled Hamdy, Omar Essam
article en

Abstract

Labor productivity is principal for economic efficiency and competitiveness, reflecting the ability of human resources to generate goods and services. Accurate measurement aids in comparing industries and regions, guiding businesses and policymakers. Previous research often lacks detailed data on the impacts of payment delays, overtime fatigue, and material shortages, hindering strategy development. This research addresses these gaps through analyzing factors affecting labor productivity in construction using AnyLogic simulation software. It aims to provide a comprehensive understanding of these factors' quantitative impacts and offer practical recommendations to enhance productivity, reduce costs, and shorten project completion times. AnyLogic models complex systems, facilitating process optimization and strategic planning. Key findings include that a 10-day payment delay reduces productivity by 2 units, a 20% skill level increase significantly enhances productivity, each hour of overtime reduces productivity by 5.08%, a 20% material shortage decreases productivity by 20%, and Boosting management efficiency by 10% improves productivity by 4.88%. The COVID-19 pandemic led to a 16.43% productivity reduction.

Journal of Al-Azhar University Engineering SectorVol. 19(73)
Ain Shams University (EG)
Clean water and sanitation
Openalex Percentile: Top 76%
Industrial Automation and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SIMULATING LABOR PRODUCTIVITY IN A WASTE WATER TREATMENT PLANT USING SYSTEM DYNAMIC MODELING — Mohamed Badawy, Khaled Hamdy, et al. · Journal of Al-Azhar University Engineering Sector (2024) | TGRS Research Map | TGRS