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Aziz, A M A (2007) A survey of the payment mechanisms for transportation DBFO projects in British Columbia. Construction Management and Economics, 25(05), 529–43.

Cameron, I and Duff, R (2007) A critical review of safety initiatives using goal setting and feedback. Construction Management and Economics, 25(05), 495–508.

Che Ibrahim, C K I, Costello, S B and Wilkinson, S (2018) Making sense of team integration practice through the “lived experience” of alliance project teams. Engineering, Construction and Architectural Management, 25(05), 598–622.

Cooper, I (1997) The UK's changing research base for construction: the impact of recent government policy. Building Research & Information, 25(05), 292–300.

Courtney, R (1997) Building Research Establishment: past, present and future. Building Research & Information, 25(05), 285–91.

Davidson, C H (1997) The Building Centres: CIB's information allies. Building Research & Information, 25(05), 313–7.

El-Sayegh, S (2018) Resource levelling optimization model considering float loss impact. Engineering, Construction and Architectural Management, 25(05), 639–53.

Gann, D M (1997) Should governments fund construction research?. Building Research & Information, 25(05), 257–67.

Harty, C, Goodier, C I, Soetanto, R, Austin, S, Dainty, A R J and Price, A D F (2007) The futures of construction: a critical review of construction future studies. Construction Management and Economics, 25(05), 477–93.

Kose, S (1997) Building Research Institute in Japan: past, present and future. Building Research & Information, 25(05), 268–71.

Krima, N A, Wood, G, Aouad, G F and Hatush, Z (2007) Assessing the performance of Libyan supervising engineers. Construction Management and Economics, 25(05), 509–18.

Lansley, P R (1997) The impact of BRE's commercialization on the research community. Building Research & Information, 25(05), 301–12.

Leppavuori, E K M (1997) Commercial building research: threat or opportunity for customer satisfaction?. Building Research & Information, 25(05), 272–8.

Ling, F Y Y, Ning, Y, Chang, Y H and Zhang, Z (2018) Human resource management practices to improve project managers’ job satisfaction. Engineering, Construction and Architectural Management, 25(05), 654–69.

Mason, J R (2007) The views and experiences of specialist contractors on partnering in the UK. Construction Management and Economics, 25(05), 519–27.

Prakash, A and Phadtare, M (2018) Service quality for architects: scale development and validation. Engineering, Construction and Architectural Management, 25(05), 670–86.

Seaden, G (1997) The future of national construction research organizations. Building Research & Information, 25(05), 250–6.

Skitmore, M and Cheung, F K T (2007) Explorations in specifying construction price forecast loss functions. Construction Management and Economics, 25(05), 449–65.

Tran, D H and Long, L D (2018) Project scheduling with time, cost and risk trade-off using adaptive multiple objective differential evolution. Engineering, Construction and Architectural Management, 25(05), 623–38.

  • Type: Journal Article
  • Keywords: Optimization; Scheduling; Risk management; Project management; Construction planning;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-05-2017-0085
  • Abstract:
    As often in project scheduling, when the project duration is shortened to reduce total cost, the total float is lost resulting in more critical or nearly critical activities. This, in turn, results in reducing the probability of completing the project on time and increases the risk of schedule delays. The objective of project management is to complete the scope of work on time, within budget in a safe fashion of risk to maximize overall project success. The purpose of this paper is to present an effective algorithm, named as adaptive multiple objective differential evolution (DE) for project scheduling with time, cost and risk trade-off (AMODE-TCR). Design/methodology/approach In this paper, a multi-objective optimization model for project scheduling is developed using DE algorithm. The AMODE modifies a population-based search procedure by using adaptive mutation strategy to prevent the optimization process from becoming a purely random or a purely greedy search. An elite archiving scheme is adopted to store elite solutions and by aptly using members of the archive to direct further search. Findings A numerical construction project case study demonstrates the ability of AMODE in generating non-dominated solutions to assist project managers to select an appropriate plan to optimize TCR problem, which is an operation that is typically difficult and time-consuming. Comparisons between the AMODE and currently widely used multiple objective algorithms verify the efficiency and effectiveness of the developed algorithm. The proposed model is expected to help project managers and decision makers in successfully completing the project on time and reduced risk by utilizing the available information and resources. Originality/value The paper presented a novel model that has three main contributions: First, this paper presents an effective and efficient adaptive multiple objective algorithms named as AMODE for producing optimized schedules considering time, cost and risk simultaneously. Second, the study introduces the effect of total float loss and resource control in order to enhance the schedule flexibility and reduce the risk of project delays. Third, the proposed model is capable of operating automatically without any human intervention.

Tsai, H, Wang, L and Lin, L (2007) A study on improving the ranking procedure for determining the most advantageous tender. Construction Management and Economics, 25(05), 545–54.

Watts, G (1997) The National Centre for Construction in the UK. Building Research & Information, 25(05), 279–84.

Widén, K and Hansson, B (2007) Diffusion characteristics of private sector financed innovation in Sweden. Construction Management and Economics, 25(05), 467–75.