A quantitative approach to construction pollution control based on resource levelling
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.
Keywords: GENETIC ALGORITHM; POLLUTION CONTROL; RESOURCE LEVELLING
Document Type: Research Article
Affiliations: 1: Department of Building and Real Estate, The Hong Kong Polytechnic University 2: Yau Lee Construction Company Limited, Kowloon, Hong Kong 3: School of Architecture and Building, Deakin University, Australia
Publication date: 01 September 2002
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