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Ammar, M A (2020) Resource optimisation in line of balance scheduling. Construction Management and Economics, 38(08), 715–25.

Benjaoran, V and Peansupap, V (2020) Grid-based construction site layout planning with Particle Swarm Optimisation and Travel Path Distance. Construction Management and Economics, 38(08), 673–88.

Hammad, A W A (2020) A multi-objective construction site layout planning problem solved through integration of location and traffic assignment models. Construction Management and Economics, 38(08), 756–72.

Hessami, A R, Faghihi, V, Kim, A and Ford, D N (2020) Evaluating planning strategies for prioritizing projects in sustainability improvement programs. Construction Management and Economics, 38(08), 726–38.

  • Type: Journal Article
  • Keywords: Project prioritization; system dynamics; sustainability improvement; revolving fund; energy efficiency;
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2019.1608369
  • Abstract:
    Programs to improve the sustainability of building infrastructures often consist of project portfolios that need to be prioritized in an appropriate chronological fashion to maximize the program’s benefits. This is particularly important when a revolving-fund approach is used to leverage savings from the initial projects to pay for later improvements. The success of the revolving-fund approach is dependent on the appropriate prioritization of projects. Competing performance measures and scarce resources make this task of project prioritization during the planning stage a complex and challenging endeavour. The current study examined the impact of different project prioritization strategies for revolving-fund sustainability program performance. A novel modeling approach for sustainability decision-analysis was developed using the system dynamics method, and the model was calibrated using a campus sustainability improvement program at a major university. The model was applied to evaluate the effects of five common project-prioritization strategies on three program-performance measures, across a wide range of initial investment levels. For the university case study, we found that the strategy of prioritizing projects according to decreasing benefit/cost ratio performed best. The research demonstrated that using a system dynamics model can allow sustainability program managers to make better-informed sequencing decisions, leading to a financially and environmentally successful program implementations.

Matar, M, Osman, H, Georgy, M, Abou-Zeid, A and Elsaid, M (2020) Evaluating the environmental performance of pipeline construction using systems modelling. Construction Management and Economics, 38(08), 689–714.

Zhang, J, Chen, F and Yuan, X (2020) Comparison of cost and schedule performance of large public projects under P3 and traditional delivery models: a Canadian study. Construction Management and Economics, 38(08), 739–55.