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Ballesteros-Pérez, P, Phua, F T T and Mora-Melià, D (2019) Human Resource Allocation to Multiple Projects Based on Members’ Expertise, Group Heterogeneity, and Social Cohesion. Journal of Construction Engineering and Management, 145(02).
Beltrão, L M P and Carvalho, M T M (2019) Prioritizing Construction Risks Using Fuzzy AHP in Brazilian Public Enterprises. Journal of Construction Engineering and Management, 145(02).
Carmichael, D G, Nguyen, T A and Shen, X (2019) Single Treatment of PPP Road Project Options. Journal of Construction Engineering and Management, 145(02).
Elmasry, M, Zayed, T and Hawari, A (2019) Multi-Objective Optimization Model for Inspection Scheduling of Sewer Pipelines. Journal of Construction Engineering and Management, 145(02).
- Type: Journal Article
- Keywords: Wastewater pipelines; Inspection scheduling; Multiobjective optimization; Risk assessment; Likelihood of failure; Consequences of failure;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001599
- Abstract:
Inspection activities play an important role in the operation and maintenance (O&M) strategy in municipalities. Efficient O&M strategies can help in making informed decisions based on the actual condition of pipelines collected from inspection activities. Municipalities are in dire need of optimizing inspection activities due to the competitive needs for the large number of deteriorated sewer pipelines and limited budget allocated for inspections. This paper presents an optimization model for inspection of deteriorated sewer pipelines using multiobjective optimization technique for which time, cost, and number of inspected sections are optimized using mixed integer linear programming (MILP). The general algebraic modeling system (GAMS) is used to reduce the computational complexity of the proposed optimization model. A case study for an existing sewage network in the city of Doha, Qatar, is used to demonstrate the capabilities of the optimization model. The results obtained from implementing the optimization model showed an enhancement of 25.7, 44.4, and 6.5% for time, cost, and number of sections inspected when compared with the results for the same model using the genetic algorithm (GA). Additionally, a cost-saving of 68% could be achieved if the proposed optimization model was deployed instead of the current inspection practices carried out by the municipalities in Doha, Qatar. It is expected that the proposed model could be used to reduce both the cost and time of inspection, especially in cases of limited budget and work forces.
Gurmu, A T (2019) Tools for Measuring Construction Materials Management Practices and Predicting Labor Productivity in Multistory Building Projects. Journal of Construction Engineering and Management, 145(02).
Hwang, B, Zhao, X and Yang, K W (2019) Effect of BIM on Rework in Construction Projects in Singapore: Status Quo, Magnitude, Impact, and Strategies. Journal of Construction Engineering and Management, 145(02).
Islam, M S, Nepal, M P and Skitmore, M (2019) Modified Fuzzy Group Decision-Making Approach to Cost Overrun Risk Assessment of Power Plant Projects. Journal of Construction Engineering and Management, 145(02).
Jafari, A, Valentin, V and Bogus, S M (2019) Identification of Social Sustainability Criteria in Building Energy Retrofit Projects. Journal of Construction Engineering and Management, 145(02).
Koskela, L, Ferrantelli, A, Niiranen, J, Pikas, E and Dave, B (2019) Epistemological explanation of lean construction. Journal of Construction Engineering and Management, 145(02), 04018131 .
Liang, R, Zhang, J, Wu, C, Sheng, Z and Wang, X (2019) Joint-Venture Contractor Selection Using Competitive and Collaborative Criteria with Uncertainty. Journal of Construction Engineering and Management, 145(02).
Noktehdan, M, Shahbazpour, M, Zare, M R and Wilkinson, S (2019) Innovation Management and Construction Phases in Infrastructure Projects. Journal of Construction Engineering and Management, 145(02).
Poleacovschi, C, Javernick-Will, A, Tong, T and Wanberg, J (2019) Engineers Seeking Knowledge: Effect of Control Systems on Accessibility of Tacit and Codified Knowledge. Journal of Construction Engineering and Management, 145(02).
Sakhakarmi, S, Park, J and Cho, C (2019) Enhanced Machine Learning Classification Accuracy for Scaffolding Safety Using Increased Features. Journal of Construction Engineering and Management, 145(02).
Tokdemir, O B, Erol, H and Dikmen, I (2019) Delay Risk Assessment of Repetitive Construction Projects Using Line-of-Balance Scheduling and Monte Carlo Simulation. Journal of Construction Engineering and Management, 145(02).
Trinh, M T, Feng, Y and Mohamed, S (2019) Framework for Measuring Resilient Safety Culture in Vietnam’s Construction Environment. Journal of Construction Engineering and Management, 145(02).
Valente, C P, Brandalise, F M P and Formoso, C T (2019) Model for Devising Visual Management Systems on Construction Sites. Journal of Construction Engineering and Management, 145(02).
Xu, J, Shi, Y and Zhao, S (2019) Reverse Logistics Network-Based Multiperiod Optimization for Construction and Demolition Waste Disposal. Journal of Construction Engineering and Management, 145(02).
Yao, H, Chen, Y, Chen, Y and Zhu, X (2019) Mediating Role of Risk Perception of Trust and Contract Enforcement in the Construction Industry. Journal of Construction Engineering and Management, 145(02).
Yoo, W, Ozer, H and Ham, Y (2019) System-Level Approach for Identifying Main Uncertainty Sources in Pavement Construction Life-Cycle Assessment for Quantifying Environmental Impacts. Journal of Construction Engineering and Management, 145(02).