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Li, H, Chen, Z, Wong, C T C and Love, P E D (2002) A quantitative approach to construction pollution control based on resource levelling. Construction Innovation, 2(02), 71–81.

  • Type: Journal Article
  • Keywords: Genetic algorithm; Pollution control; Resource levelling
  • ISBN/ISSN: 1471-4175
  • URL: http://www.emeraldinsight.com/10.1108/14714170210814694
  • Abstract:
    A quantitative approach for construction pollution control that is based on construction resource levelling is presented. The parameters of construction pollution index (CPI) and hazard magnitude (hi) are treated as a pseudo resource and integrated with a project’s construction schedule. When the level of pollution for site operations exceeds the permissible limit identified by a regulatory body, a Genetic Algorithm (GA) enhanced levelling technique is used to re-schedule project activities so that the level of pollution can be re-distributed and thus reduced. The GA enhanced resource levelling technique is demonstrated using 20 on-site construction activities in a project. Experimental results indicate that the proposed GA enhanced resource levelling method performs better than the traditional resource levelling method used in MS Project©. The proposed method is an effective tool that can be used by project managers to reduce the level of pollution at a particular period of time; when other control methods fail. Record 108.

Omar, E A A and Mangin, J-C (2002) A new cost control model and indicators to measure productivity on building sites. Construction Innovation, 2(02), 83–101.

Pilgrim, M, Bouchlaghem, D, Loveday, D and Holmes, M (2002) Towards best practice in building analysis data representation. Construction Innovation, 2(02), 117–30.

Weippert, A, Kajewski, S L and Tilley, P A (2002) Internet-based information and communication systems on remote construction projects: a case study analysis. Construction Innovation, 2(02), 103–16.