Abstracts – Browse Results
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Ahmed, K, Leung, M and Ojo, L D (2022) An Exploratory Study to Identify Key Stressors of Ethnic Minority Workers in the Construction Industry. Journal of Construction Engineering and Management, 148(05).
Atasoy, G, Ertaymaz, U, Dikmen, I and Talat Birgonul, M (2022) Empowering Risk Communication: Use of Visualizations to Describe Project Risks. Journal of Construction Engineering and Management, 148(05).
Babaeian Jelodar, M, Yiu, T W and Wilkinson, S (2022) Empirical Modeling for Conflict Causes and Contractual Relationships in Construction Projects. Journal of Construction Engineering and Management, 148(05).
Hosseinian, S M, Younesi, S, Razini, S and Carmichael, D G (2022) Intelligent Stochastic Agent-Based Model for Predicting Truck Production in Construction Sites by Considering Learning Effect. Journal of Construction Engineering and Management, 148(05).
Kaminsky, J A (2022) Improving Public–Private Partnerships for Renewable Electricity Infrastructure in Lower- and Middle-Income Countries. Journal of Construction Engineering and Management, 148(05).
Keskin, B, Salman, B and Koseoglu, O (2022) Architecting a BIM-Based Digital Twin Platform for Airport Asset Management: A Model-Based System Engineering with SysML Approach. Journal of Construction Engineering and Management, 148(05).
Mrazovic, N and Fischer, M (2022) Assessment Framework for Additive Manufacturing in the AEC Industry. Journal of Construction Engineering and Management, 148(05).
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002272
- Abstract:
Additive manufacturing (AM), popularly known as three-dimensional (3D) printing, is starting to coexist with conventional manufacturing (CM) in architecture-engineering-construction (AEC) industry. However, AEC practitioners do not have validated systematic means to rapidly and consistently assess AM for the production of building components through transparent metrics such as cost and environmental impact. We developed a semiautomated assessment framework to rapidly and consistently evaluate the applicability (A), schedule (S), environmental impact (E), and cost (C) of AM compared with CM to produce building components. The validation of the framework showed that it reduced the effort required for the ASEC analyses, specifically the time for the assessment by 97%, and provided consistent A, S, and C results in comparison with the assessment without the framework. The consistency of the E results was improved fourfold. An uncertainty source analysis of the E results showed the reduction of inconsistencies by 68% in the formalized assessment and proposed mitigations. Future work includes framework’s further automation such as development of direct links to design and life cycle assessment (LCA) tools.
Nasirian, A, Abbasi, B, Cheng, T C E and Arashpour, M (2022) Multiskilled Workforce Planning: A Case from the Construction Industry. Journal of Construction Engineering and Management, 148(05).
Nickdoost, N, Choi, J, AbdelRazig, Y and Sobanjo, J (2022) A Project Life-Cycle Approach to Managing Procrastination in Construction Projects: State-of-the-Art Review. Journal of Construction Engineering and Management, 148(05).
Salhab, D, Møller, D E, Lindhard, S M, Hamzeh, F, Randrup, M and Pilgaard, A (2022) Accounting for Variability: Identifying Critical Activities as a Supplement to the Critical Path. Journal of Construction Engineering and Management, 148(05).
Yuan, Z, Fang, Y, Hong, J, Zhang, Q, Zhang, Z and Ni, G (2022) Coupling Relationship between Capabilities and Benefits of Lean Construction for Precast Buildings from a Multivariable Moderation Perspective. Journal of Construction Engineering and Management, 148(05).
Zarghami, S A (2022) Forecasting Project Duration in the Face of Disruptive Events: A Resource-Based Approach. Journal of Construction Engineering and Management, 148(05).