Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 24 results ...
Charkhakan, M H and Heravi, G (2023) Quantifying the predictability and preventability of conflicts between construction project parties. Engineering, Construction and Architectural Management, 30(05), 1932-50.
Chew, M Y L (2002) Resistance of polyurethane sealants to hot water. Building Research & Information, 30(05), 367–71.
Choy, L H T, Ho, W K O and Mak, S W K (2012) Housing attributes and Hong Kong real estate prices: a quantile regression analysis. Construction Management and Economics, 30(05), 359-66.
Jacobsson, M and Linderoth, H C J (2012) User perceptions of ICT impacts in Swedish construction companies: 'it's fine, just as it is'. Construction Management and Economics, 30(05), 339-57.
Kerali, A G and Thomas, T H (2002) Effect of mix retention and curing on low-cement walling blocks. Building Research & Information, 30(05), 362–6.
Khanh, H D, Kim, S Y and Linh, L Q (2023) Construction productivity prediction through Bayesian networks for building projects: case from Vietnam. Engineering, Construction and Architectural Management, 30(05), 2075-100.
Kohler, N and Lutzkendorf, T (2002) Integrated life-cycle analysis. Building Research & Information, 30(05), 338–48.
Liang, R, Li, R, Yan, X, Xue, Z and Wei, X (2023) Evaluating and selecting the supplier in prefabricated megaprojects using extended fuzzy TOPSIS under hesitant environment: a case study from China. Engineering, Construction and Architectural Management, 30(05), 1902-31.
- Type: Journal Article
- Keywords: hesitant fuzzy; multi-criterion group decision-making; prefabricated megaprojects; supplier selection; uncertainty
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-09-2021-0793
- Abstract:
Purpose: Prefabricated components sustainable supplier (PCSS) selection is critical to the success of prefabricated projects. However, limited studies have addressed the uncertainty and complexities during the selection process, particularly in multi-criterion group decision-making (MCGDM) circumstances. Hence, the research aims to develop a group decision-making model using a modified fuzzy MCGDM approach for PCSS selection under uncertain situation. Design/methodology/approach: The proposed study develops a framework for sorting decisions in PCSS selection by using the hesitant fuzzy technique for order preference by similarity to ideal solution (HF-TOPSIS) method. The maximum consistency (MC) model is used to calculate the weights of decision makers (DMs) based on the cardinality and sequence of decision data. Findings: The proposed framework has been successfully applied and illustrated in the case example of CB01 contract section in Hong Kong-Zhuhai-Macao Bridge (HZMB) megaproject. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The MC model is able to calculate the weights of DMs based on the cardinality and sequence of decision data. Originality/value: The research contributes to improving accuracy and reliability decision-making processes for PCSS selection, especially under hesitant and fuzzy situations in prefabricated megaprojects.
Lingard, H C, Cooke, T and Blismas, N (2012) Designing for construction workers' occupational health and safety: a case study of socio-material complexity. Construction Management and Economics, 30(05), 367-82.
Liu, L, Wang, X and Sheng, Z (2012) Achieving ambidexterity in large, complex engineering projects: a case study of the Sutong Bridge project. Construction Management and Economics, 30(05), 399-409.
Maharjan, S, Shrestha, P P and Srirangam, D (2023) Impact of mobilization costs on schedule performance of highway projects. Engineering, Construction and Architectural Management, 30(05), 2008-25.
Mansoori, S, Harkonen, J and Haapasalo, H (2023) Productization and product structure enabling BIM implementation in construction. Engineering, Construction and Architectural Management, 30(05), 2155-84.
Moshtaghian, F and Noorzai, E (2023) Integration of risk management within the building information modeling (BIM) framework. Engineering, Construction and Architectural Management, 30(05), 1951-77.
Osuizugbo, I C, Kukoyi, P O, Abisuga, A O and Ibrahim, K (2023) Choosing to be a craftsperson: factors influencing career decision-making among apprentices. Engineering, Construction and Architectural Management, 30(05), 2026-47.
Pham, H T, Pham, T, Truong Quang, H and Dang, C N (2023) Impact of transformational leadership on green learning and green innovation in construction supply chains. Engineering, Construction and Architectural Management, 30(05), 1883-901.
Qabaja, M and Tenekeci, G (2023) Nexus between construction sector and economic indicators for Turkey and European Union evidenced by panel data analysis. Engineering, Construction and Architectural Management, 30(05), 1978-2007.
Sena, T C and Fabricio, M M (2023) Framework proposal for BIM implementation in Brazilian construction and development companies. Engineering, Construction and Architectural Management, 30(05), 2101-23.
Sompolgrunk, A, Banihashemi, S, Hosseini, M R, Golzad, H and Hajirasouli, A (2023) An integrated model of BIM return on investment for Australian small- and medium-sized enterprises (SMEs). Engineering, Construction and Architectural Management, 30(05), 2048-74.
Stasinopoulos, T N (2023) Comparing insolation on building façades in five different climates. Engineering, Construction and Architectural Management, 30(05), 1835-63.
Straub, A (2002) Strategic technical management of housing stock: lessons from Dutch housing associations. Building Research & Information, 30(05), 372–81.
Tam, C M, Tam, V W Y and Zeng, S X (2002) Environmental Performance Evaluation (EPE) for construction. Building Research & Information, 30(05), 349–61.
Wuni, I Y, Shen, G Q and Saka, A B (2023) Computing the severities of critical onsite assembly risk factors for modular integrated construction projects. Engineering, Construction and Architectural Management, 30(05), 1864-82.
Zhang, Q, Oo, B L and Lim, B T H (2023) Key practices and impact factors of corporate social responsibility implementation: Evidence from construction firms. Engineering, Construction and Architectural Management, 30(05), 2124-54.
Zimina, D, Ballard, G and Pasquire, C (2012) Target value design: using collaboration and a lean approach to reduce construction cost. Construction Management and Economics, 30(05), 383-98.