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...

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Main Authors: Mahmoud Ameri, Armin Jarrahi, Farshad Haddadi, Mohammad Hasan Mirabimoghaddam
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
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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
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