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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.

  • Type: Journal Article
  • Keywords: Construction management; Project management; Scheduling;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-10-2016-0229
  • Abstract:
    The purpose of this paper is to propose a Non-Linear Integer Programming (NLIP) model that solves the resource leveling problem while reducing the negative effect of the total float loss on risk. Design/methodology/approach An NLIP model is formulated to solve the resource leveling optimization problem incorporating float loss cost (FLC). The proposed model is implemented using “What’s Best solver” for Excel. The FLC is calculated using the float commodity approach. An example is solved using the proposed model in order to illustrate its applicability. Sensitivity analysis is also performed. Findings The results confirmed that resource leveling reduces the available float of non-critical activities; decreases schedule flexibility and reduces the probability of project completion. The probability of timely completion dropped from 50 percent (for the normal schedule with 32 resource fluctuations) to 13.5 percent for leveled resources with zero fluctuations. Using the proposed method, the number of resource fluctuations is 8 but the probability of completing the project on time improved to 20 percent. Practical implications The proposed model allows project managers to exercise new trade-offs between resource leveling and schedule flexibility which will ultimately improve the chances of successful project delivery. Originality/value Resource leveling techniques result in reducing the available total float for the non-critical activities. Existing methods focus on moving noncritical activities within their available float and ignore the impact of the resulting float loss. This reduces the schedule flexibility and increase the risk of project delays. The proposed model incorporates the FLC into the resource leveling optimization problem resulting in more efficient schedules with improved resource utilization while keeping some schedule flexibility.

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.

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.