Optimization of municipal solid waste management system in landfill using response surface methodology - a case study of Ogbomoso South Local Government

In this study, Solid waste generation and collection assessment within the study area was undertaken with the view of formulating an optimization model that helped identify the important variables influencing the overall cost of solid waste management and also determine their optimum values. Some of the important variables used in formulating the model include; The number of solid waste collection trips (X1), Number of manpower (Persons) (X2), Fuel consumption per day (X3), Weight of solid waste collection per trip (X4). To determine the model, Statistical design of experiment (DOE) using central composite design method (CCD) was employed. The number of experimental runs based on the CCD method was determined and thirty (30) experimental runs were thereafter generated and optimized. Result of the optimization model revealed that; the number of solid waste collection trips per month (X1 = 47), Number of manpower (persons) (X2 = 3), Fuel consumption per day (X3 = 18.20liters) and Weight of solid waste collection per trip (X4 = 6.33tons). The optimal solution of selected variables produced an overall cost of N162,300. The solution was selected by the Design Expert software with a desirability value of 1 that is 100% reliability.

Authors

Institutions

Publication Details

Published
2024-09-20
DOI
https://doi.org/10.36108/laujet/4202.81.0360
Primary Topic
Waste Management and Recycling
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Optimization of municipal solid waste management system in landfill using response surface methodology - a case study of Ogbomoso South Local Government

O. S. Oladejo, Tolu Adeniji, M. O . Oruamen, E. A . Obisesan et al.
Waste Management and Recycling
article

Optimization of municipal solid waste management system in landfill using response surface methodology - a case study of Ogbomoso South Local Government

O. S. Oladejo, Tolu Adeniji, M. O . Oruamen, E. A . Obisesan, I. O . Adeleye
article en

Abstract

In this study, Solid waste generation and collection assessment within the study area was undertaken with the view of formulating an optimization model that helped identify the important variables influencing the overall cost of solid waste management and also determine their optimum values. Some of the important variables used in formulating the model include; The number of solid waste collection trips (X1), Number of manpower (Persons) (X2), Fuel consumption per day (X3), Weight of solid waste collection per trip (X4). To determine the model, Statistical design of experiment (DOE) using central composite design method (CCD) was employed. The number of experimental runs based on the CCD method was determined and thirty (30) experimental runs were thereafter generated and optimized. Result of the optimization model revealed that; the number of solid waste collection trips per month (X1 = 47), Number of manpower (persons) (X2 = 3), Fuel consumption per day (X3 = 18.20liters) and Weight of solid waste collection per trip (X4 = 6.33tons). The optimal solution of selected variables produced an overall cost of N162,300. The solution was selected by the Design Expert software with a desirability value of 1 that is 100% reliability.

Vol. 18(3)
Ladoke Akintola University of Technology (NG)
Openalex Percentile: Top 79%
Waste Management and Recycling
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.

Optimization of municipal solid waste management system in landfill using response surface methodology - a case study of Ogbomoso South Local Government — O. S. Oladejo, Tolu Adeniji, et al. · (2024) | TGRS Research Map | TGRS