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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).
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).
- Type: Journal Article
- Keywords: Construction and demolition waste; Multiperiod optimization; Reverse logistics network; Total costs;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001592
- Abstract:
Environmental pollution and resource consumption caused by construction and demolition waste (CDW) have become increasingly serious. As a result, it is urgent to focus on waste recycling, resource conservation, and environmental protection. To reduce environmental pollution and decrease waste disposal costs, this paper employs a reverse logistics network (RLN)-based multiperiod optimization for CDW recycling and disposal. To optimize the CDW disposal process, a dynamic mixed-integer linear programming (MILP) model is proposed to determine the optimal solutions. By making decisions about the disposal process and CDW disposal volumes, the overall network costs are controlled on the premise of protecting the environment. A case study from China is then introduced to demonstrate the effectiveness and efficiency of the proposed MILP model in selecting the disposal processes, determining waste disposal volumes, and controlling total costs. Scenario analyses for the collection and recycling ratios are conducted, and the influence of the government’s green tax is considered. Finally, practical policy suggestions are given to guide CDW disposal. The main contribution of this paper is that the learned CDW disposal network could strictly and efficiently regulate CDW recycling and provide a valid political instrument to dispose of CDW that can not only reduce environmental damage and construction activity resource consumption, but also convert the CDW into new construction materials to economically benefit the construction industries.
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).