Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 16 results ...
Alkaissy, M, Arashpour, M, Zeynalian, M and Li, H (2022) Worksite Accident Impacts on Construction and Infrastructure: Nondeterministic Analysis of Subsectors and Organization Sizes. Journal of Construction Engineering and Management, 148(06).
Aroke, O, Hasanzadeh, S, Esmaeili, B, Dodd, M D and Brock, R (2022) Using Worker Characteristics, Personality, and Attentional Distribution to Predict Hazard Identification Performance: A Moderated Mediation Analysis. Journal of Construction Engineering and Management, 148(06).
Candaş, A B and Tokdemir, O B (2022) Automating Coordination Efforts for Reviewing Construction Contracts with Multilabel Text Classification. Journal of Construction Engineering and Management, 148(06).
Chen, G, Chen, J, Tang, Y, Li, Q and Luo, X (2022) Identifying Effective Collaborative Behaviors in Building Information Modeling–Enabled Construction Projects. Journal of Construction Engineering and Management, 148(06).
Dou, Y and Bo, Q (2022) Characteristics and Dynamics of BIM Adoption in China: Social Network Analysis. Journal of Construction Engineering and Management, 148(06).
Hussein, M, Darko, A, Eltoukhy, A E E and Zayed, T (2022) Sustainable Logistics Planning in Modular Integrated Construction Using Multimethod Simulation and Taguchi Approach. Journal of Construction Engineering and Management, 148(06).
Jiang, S, Ma, G, Jia, J, Wu, M and Wu, Z (2022) Mobile ICT Overuse in the Construction Industry: Effects on Job Burnout of Project Managers. Journal of Construction Engineering and Management, 148(06).
Liu, G, Huang, R, Li, K, Shrestha, A and Fu, X (2022) Greenhouse Gas Emissions Management in Prefabrication and Modular Construction Based on Earned Value Management. Journal of Construction Engineering and Management, 148(06).
Liu, K and El-Gohary, N (2022) Bridge Deterioration Knowledge Ontology for Supporting Bridge Document Analytics. Journal of Construction Engineering and Management, 148(06).
Liu, T, Chong, H, Zhang, W, Lee, C and Tang, X (2022) Effects of Contractual and Relational Governances on BIM Collaboration and Implementation for Project Performance Improvement. Journal of Construction Engineering and Management, 148(06).
Lv, L, Wang, Z, Li, H, Zhang, C and Qiao, R (2022) Tournament Incentive Mechanisms Design for Long-Distance Water Diversion Projects Incorporating Preference Heterogeneity. Journal of Construction Engineering and Management, 148(06).
Shen, K, Li, X, Cao, X and Zhang, Z (2022) Prefabricated Construction Process Optimization Based on Rework Risk. Journal of Construction Engineering and Management, 148(06).
Wang, S, Ni, Z, Qu, T, Wang, H and Pan, Q (2022) A Novel Index to Evaluate the Workability of Conditioned Coarse-Grained Soil for EPB Shield Tunnelling. Journal of Construction Engineering and Management, 148(06).
Yang, Y, Pan, M and Pan, W (2022) Integrated Offsite Logistics Scheduling Approach for High-Rise Modular Building Projects. Journal of Construction Engineering and Management, 148(06).
Zhan, W, Pan, W and Hao, G (2022) Productivity Measurement and Improvement for Public Construction Projects. Journal of Construction Engineering and Management, 148(06).
Zhong, S and Elzarka, H (2022) A Hybrid Grey System Theory–Based Subcontractor Selection Model for High-Stakes Construction Projects. Journal of Construction Engineering and Management, 148(06).
- Type: Journal Article
- Keywords: Subcontractor selection; Multitype criteria; Grey entropy relational analysis (GERA); Proximity degree; Equilibrium degree;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002294
- Abstract:
Proper selection of subcontractors should consider multiple criteria such as cost, schedule, quality, and effective project management and control capabilities. Several multiple-criteria decision-making (MCDM) models that utilize a weighted score have been developed to help contractors select subcontractors. Although such models are capable of considering multiple evaluation criteria, they may unintentionally cover up some subcontractors’ deficiencies that can significantly impact project success. Considering such deficiencies is particularly important for high-stakes construction projects. The paper proposes a hybrid grey entropy relational analysis (GERA) model for subcontractor selection that integrates grey relational analysis (GRA) and the grey entropy model (GEM). The proposed GERA model evaluates subcontractors’ performance from two perspectives; proximity degree and equilibrium degree. The proximity degree is used to aggregate a subcontractor’s attributes into a comprehensive score, while the equilibrium degree is used to expose subcontractors’ deficiencies that should exclude them from selection. A case study is used to demonstrate the feasibility of the proposed model. The proposed model can be easily adapted to various decision-making scenarios with similar requirements.