Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 28 results ...
Aibinu, A A, Ling, F Y Y and Ofori, G (2011) Structural equation modelling of organizational justice and cooperative behaviour in the construction project claims process: contractors' perspectives. Construction Management and Economics, 29(05), 463–81.
Alemu, S K (2022) Construction time prediction model for public building projects. Engineering, Construction and Architectural Management, 29(05), 2183-206.
Cole, R J (2001) Lessons learned, future directions and issues for GBC. Building Research & Information, 29(05), 355–73.
Deal, B (2001) Ecological urban dynamics: the convergence of spatial modelling and sustainability. Building Research & Information, 29(05), 381–93.
Elkabalawy, M and Moselhi, O (2022) Optimized resource-constrained method for project schedule compression. Engineering, Construction and Architectural Management, 29(05), 2106-29.
- Type: Journal Article
- Keywords: fuzzy set theory; nsga-ii; resource-constrained scheduling under uncertainty; schedule optimization
- ISBN/ISSN:
- URL: https://doi.org/10.1108/ECAM-12-2020-1019
- Abstract:
Purpose: This paper aims to present an integrated method for optimized project duration and costs, considering the size and cost of crews assigned to project activities’ execution modes. Design/methodology/approach: The proposed method utilizes fuzzy set theory (FSs) for modeling uncertainties associated with activities’ duration and cost and genetic algorithm (GA) for optimizing project schedule. The method has four main modules that support two optimization methods: modeling uncertainty and defuzzification module; scheduling module; cost calculations module; and decision-support module. The first optimization method uses the elitist non-dominated sorting genetic algorithm (NSGA-II), while the second uses a dynamic weighted optimization genetic algorithm. The developed scheduling and optimization methods are coded in python as a stand-alone automated computerized tool to facilitate the developed method’s application. Findings: The developed method is applied to a numerical example to demonstrate its use and illustrate its capabilities. The method was validated using a multi-layered comparative analysis that involves performance evaluation, statistical comparisons and stability evaluation. Results indicated that NSGA-II outperformed the weighted optimization method, resulting in a better global optimum solution, which avoided local minima entrapment. Moreover, the developed method was constructed under a deterministic scenario to evaluate its performance in finding optimal solutions against the previously developed literature methods. Results showed the developed method’s superiority in finding a better optimal set of solutions in a reasonable processing time. Originality/value: The novelty of the proposed method lies in its capacity to consider resource planning and project scheduling under uncertainty simultaneously while accounting for activity splitting.
Gambatese, J A and Hallowell, M (2011) Factors that influence the development and diffusion of technical innovations in the construction industry. Construction Management and Economics, 29(05), 507–17.
Garay, A, Ruiz, A and Guevara, J (2022) Dynamic evaluation of thermal comfort scenarios in a Colombian large-scale social housing project. Engineering, Construction and Architectural Management, 29(05), 1909-30.
Gunduz, M and Al-Naimi, N H (2022) Construction projects delay mitigation using integrated balanced scorecard and quality function deployment. Engineering, Construction and Architectural Management, 29(05), 2073-105.
Hon, C K H, Sun, C, Xia, B, Jimmieson, N L, Way, K A and Wu, P P Y (2022) Applications of Bayesian approaches in construction management research: a systematic review. Engineering, Construction and Architectural Management, 29(05), 2153-82.
Hou, W and Wang, L (2022) Research on the refinancing capital structure of highway PPP projects based on dynamic capital demand. Engineering, Construction and Architectural Management, 29(05), 2047-72.
Jarkas, A and Horner, M (2011) Revisiting the applicability of learning curve theory to formwork labour productivity. Construction Management and Economics, 29(05), 483–93.
John, S T, Mohan, A, Philip, M S, Sarkar, P and Davis, R (2022) An IoT device for striking of vertical concrete formwork. Engineering, Construction and Architectural Management, 29(05), 1991-2010.
Kim, Y W, Han, S, Shin, S and Choi, K (2011) A case study of activity‐based costing in allocating rebar fabrication costs to projects. Construction Management and Economics, 29(05), 449–61.
Koc, K and Gurgun, A P (2022) Ambiguity factors in construction contracts entailing conflicts. Engineering, Construction and Architectural Management, 29(05), 1946-64.
Larsson, N K and Cole, R J (2001) Green building challenge: the development of an idea. Building Research & Information, 29(05), 45.
Liou, F m, Yang, C h, Chen, B and Chen, W (2011) Identifying the Pareto‐front approximation for negotiations of BOT contracts with a multi‐objective genetic algorithm. Construction Management and Economics, 29(05), 535–48.
Luo, L, Zhang, L, Zheng, X and Wu, G (2022) A hybrid approach for investigating impacts of leadership dynamics on project performance. Engineering, Construction and Architectural Management, 29(05), 1965-90.
Mackley, C J and Milonas, S (2001) Knowledge transfer and Green Building Challenge. Building Research & Information, 29(05), 54.
Pemsel, S and Widén, K (2011) Bridging boundaries between organizations in construction. Construction Management and Economics, 29(05), 495–506.
Plessis, C d (2001) Sustainability and sustainable construction: the African context. Building Research & Information, 29(05), 374–80.
Rahmani, F, Scott-Young, C, Tadayon, A and van der Walt, J D (2022) Team composition in relational contracting (RC) in large infrastructure projects: a Belbin’s team roles model approach. Engineering, Construction and Architectural Management, 29(05), 2027-46.
Said, H, Mali, A and Deshmukh, A (2022) Identification and assessment of the unionization factors of the US electrical construction trade. Engineering, Construction and Architectural Management, 29(05), 2207-31.
Shah, R K and Dawood, N (2011) An innovative approach for generation of a time location plan in road construction projects. Construction Management and Economics, 29(05), 435–48.
Theaker, I G and Cole, R J (2001) The role of local governments in fostering 'green' buildings: a case study. Building Research & Information, 29(05), 394–408.
Thomas Ng, S, Fan, R Y C and Wong, J M W (2011) An econometric model for forecasting private construction investment in Hong Kong. Construction Management and Economics, 29(05), 519–34.
Todd, J A, Crawley, D, Geissler, S and Lindsey, G (2001) Comparative assessment of environmental performance tools and the role of the Green Building Challenge. Building Research & Information, 29(05), 324–35.
Wang, P, Fenn, P, Wang, K and Huang, Y (2022) A Bayesian belief network predictive model for construction delay avoidance in the UK. Engineering, Construction and Architectural Management, 29(05), 2011-26.
Zhang, N, Deng, X, Hwang, B G, Bi, M and Mahmoudi, A (2022) A novel approach to selecting the best partner for high-speed rail firms. Engineering, Construction and Architectural Management, 29(05), 2130-52.