A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements
Pavement maintenance and rehabilitation (M&R) plan for maintaining the pavement quality in an acceptable level has direct influence on the required budget. Deterministic budgeting is an unrealistic assumption, so, in this study, a two-stage stochastic model using integer programming is developed...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2019-01-01
|
Series: | Mathematical Problems in Engineering |
Online Access: | http://dx.doi.org/10.1155/2019/3971791 |
id |
doaj-d1cfc88a6f624acc8bd2c175dce813b5 |
---|---|
record_format |
Article |
spelling |
doaj-d1cfc88a6f624acc8bd2c175dce813b52020-11-24T23:54:40ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472019-01-01201910.1155/2019/39717913971791A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of PavementsMahmoud Ameri0Armin Jarrahi1Farshad Haddadi2Mohammad Hasan Mirabimoghaddam3School of Civil Engineering, Iran University of Science and Technology, Narmak, 16846, Tehran, IranSchool of Civil Engineering, Iran University of Science and Technology, Narmak, 16846, Tehran, IranDepartment of Civil Engineering, Florida International University, Miami, Florida, USADepartment of Civil Engineering, University of Sistan and Baluchestan, Zahedan, IranPavement maintenance and rehabilitation (M&R) plan for maintaining the pavement quality in an acceptable level has direct influence on the required budget. Deterministic budgeting is an unrealistic assumption, so, in this study, a two-stage stochastic model using integer programming is developed to address uncertainty in budgeting. Another aim of this study is to develop an executive model that considers a broad range of parameters at network level maintenance and rehabilitation planning. While having too many details in planning problems makes them more complicated, some restrictions called “technical constraints” were considered to reduce solution time of solving procedure as well as improve M&R activities assignment efficiency. Comparing results of the stochastic model with a deterministic model for a case study revealed that the two-stage stochastic model led to increased total cost compared to the deterministic one due to considering probability in budgeting. However, the developed model provides several M&R plans that are compatible with budget variation.http://dx.doi.org/10.1155/2019/3971791 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mahmoud Ameri Armin Jarrahi Farshad Haddadi Mohammad Hasan Mirabimoghaddam |
spellingShingle |
Mahmoud Ameri Armin Jarrahi Farshad Haddadi Mohammad Hasan Mirabimoghaddam A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements Mathematical Problems in Engineering |
author_facet |
Mahmoud Ameri Armin Jarrahi Farshad Haddadi Mohammad Hasan Mirabimoghaddam |
author_sort |
Mahmoud Ameri |
title |
A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements |
title_short |
A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements |
title_full |
A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements |
title_fullStr |
A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements |
title_full_unstemmed |
A Two-Stage Stochastic Model for Maintenance and Rehabilitation Planning of Pavements |
title_sort |
two-stage stochastic model for maintenance and rehabilitation planning of pavements |
publisher |
Hindawi Limited |
series |
Mathematical Problems in Engineering |
issn |
1024-123X 1563-5147 |
publishDate |
2019-01-01 |
description |
Pavement maintenance and rehabilitation (M&R) plan for maintaining the pavement quality in an acceptable level has direct influence on the required budget. Deterministic budgeting is an unrealistic assumption, so, in this study, a two-stage stochastic model using integer programming is developed to address uncertainty in budgeting. Another aim of this study is to develop an executive model that considers a broad range of parameters at network level maintenance and rehabilitation planning. While having too many details in planning problems makes them more complicated, some restrictions called “technical constraints” were considered to reduce solution time of solving procedure as well as improve M&R activities assignment efficiency. Comparing results of the stochastic model with a deterministic model for a case study revealed that the two-stage stochastic model led to increased total cost compared to the deterministic one due to considering probability in budgeting. However, the developed model provides several M&R plans that are compatible with budget variation. |
url |
http://dx.doi.org/10.1155/2019/3971791 |
work_keys_str_mv |
AT mahmoudameri atwostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT arminjarrahi atwostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT farshadhaddadi atwostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT mohammadhasanmirabimoghaddam atwostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT mahmoudameri twostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT arminjarrahi twostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT farshadhaddadi twostagestochasticmodelformaintenanceandrehabilitationplanningofpavements AT mohammadhasanmirabimoghaddam twostagestochasticmodelformaintenanceandrehabilitationplanningofpavements |
_version_ |
1725465334284025856 |