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Abdullahi Ahmed, U, Noor Amila Wan Abdullah, Z and Abdul-Rashid, A-A (2021) Malaysian regulators' ranking of PPP contract governance skills. Built Environment Project and Asset Management, 11(1), 88-102.
Almarri, K and Boussabaine, H (2021) Re-evaluating the risk costing agenda in PPP projects. Built Environment Project and Asset Management, 11(1), 22-37.
Chileshe, N and Kavishe, N (2021) Readiness assessment of public-private partnerships adoption in developing countries: the case of Tanzania. Built Environment Project and Asset Management, 11(1), 71-87.
Conejos, S, Ubando, A and Lin Chew, M Y (2022) Design for maintainability tool for nano-façade coating applications on high-rise façades in the tropics. Built Environment Project and Asset Management, 12(1), 70-95.
Darlow, G, Rotimi, J O B and Wajiha Mohsin, S (2022) Automation in New Zealand's offsite construction: a status update. Built Environment Project and Asset Management, 12(1), 38-52.
Dolla, T, Devkar, G and Boeing, L (2021) Procurement governance and information asymmetry in waste management of India. Built Environment Project and Asset Management, 11(1), 38-51.
Jelodar, M B, Wilkinson, S, Kalatehjari, R and Zou, Y (2022) Designing for construction procurement: an integrated Decision Support System for Building Information Modelling. Built Environment Project and Asset Management, 12(1), 111-27.
- Type: Journal Article
- Keywords: procurement; sustainability; technological innovation; decision support systems; utility theory; ontology; case studies; decision theory; informatics; virtual reality; building management systems
- ISBN/ISSN:
- URL: http://dx.doi.org/10.1108/BEPAM-07-2020-0132
- Abstract:
Many applications of Building Information modelling (BIM) are already integrated into project management processes. However, the construction industry is suffering from poor decision-making, especially during procurement where fundamental decisions are made. To make the best decisions at earlier project stages, such as design, large amount of information needs to be processed and classified. Therefore, this study seeks to create a Decision Support System (DSS) for construction procurement through the application of existing informatics infrastructure and BIM applications. Literature review expert interviews and case studies with complex procurement considerations were used to identify and validate attributes and criterions for procurement decision-making. Accordingly, Multi-Attribute Utility Theory (MAUT) methodology was used and mathematical models were driven as the foundation for a DSS. Five major criterions of time, cost, relationship quality, sustainability and quality of work performed was identified for complex construction procurement decision-making. Accordingly, a DSS structure and mathematical model was proposed. Based on this a model architecture was developed for the integration of the DSS into Autodesk Revit as a BIM platform, and assist in pre-contract decision-making. The results can be used in pre-contract selection processes via currently used BIM applications. The model architecture can integrate DSS outputs to nD models, cloud systems and potentially virtual reality facilities to facilitate better construction operations and smarter more automated processes. This study formulates and captures complex and unstructured information on construction procurement into a practical DSS model. The study provides a link to integrate solutions with already available platforms and technologies. The study also introduces the concept of designing for procurement; which can be expanded to other challenging decisions during construction.
Khatibi, H, Wilkinson, S, Heiman, D, Baghersad, M, Ghaedi, K and Javanmardi, A (2022) Indicators bank for smart and resilient cities: design of excellence. Built Environment Project and Asset Management, 12(1), 5-19.
Liu, T, Mostafa, S, Sherif, M and Tuan Son, N (2021) Emerging themes of public-private partnership application in developing smart city projects: a conceptual framework. Built Environment Project and Asset Management, 11(1), 138-56.
Luane Assunção Paiva, M, Clara Beatriz Ferreira de, O and Reymard Savio Sampaio de, M (2022) Allocating scarce financial resources effectively through function analysis in social housing projects. Built Environment Project and Asset Management, 12(1), 96-110.
Mangu, S, Thillai Rajan, A and Deep, A (2021) Comparison of toll and annuity PPPs: a case study of highway projects in India. Built Environment Project and Asset Management, 11(1), 103-20.
Marinelli, M (2022) A DfX-based approach for incorporating sustainability in infrastructure project planning. Built Environment Project and Asset Management, 12(1), 20-37.
Nguyen, N, Almarri, K and Boussabaine, H (2021) A risk-adjusted decoupled-net-present-value model to determine the optimal concession period of BOT projects. Built Environment Project and Asset Management, 11(1), 4-21.
Nimesha Sahani, J, Chan, D W M and Kumaraswamy, M (2021) A systematic literature review and analysis towards developing PPP models for delivering smart infrastructure. Built Environment Project and Asset Management, 11(1), 121-37.
Raviv, G, Shapira, A and Sacks, R (2022) Empirical investigation of the applicability of constructability methods to prevent design errors. Built Environment Project and Asset Management, 12(1), 53-69.
Sarvari, H, Chan, D W M, Banaitiene, N, Norhazilan Md, N and Beer, M (2021) Barriers to development of private sector investment in water and sewage industry. Built Environment Project and Asset Management, 11(1), 52-70.