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An Integrated Environment–Cost–Time Optimisation Method for Construction Contractors Considering Global Warming
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Industrilized and sustainable construction. Department of Construction Management, Harbin Institute of Technology, Harbin, China.ORCID iD: 0000-0002-9310-9093
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Industrilized and sustainable construction.ORCID iD: 0000-0002-4695-5369
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Structural and Fire Engineering. Department of Construction Management, Harbin Institute of Technology, Harbin, China.
Department of Construction Management, Harbin Institute of Technology, Harbin, China.
2018 (English)In: Sustainability, ISSN 2071-1050, E-ISSN 2071-1050, Vol. 10, no 11, article id 4207Article in journal (Refereed) Published
Abstract [en]

Construction contractors play a vital role in reducing the environmental impacts during the construction phase. To mitigate these impacts, contractors need to develop environmentally friendly plans that have optimal equipment, materials and labour configurations. However, construction plans with optimal environment may negatively affect the project cost and duration, resulting in dilemma for contractors on adopting low impacts plans. Moreover, the enumeration method that is usually used needs to assess and compare the performances of a great deal of scenarios, which seems to be time consuming for complicated projects with numerous scenarios. This study therefore developed an integrated method to efficiently provide contractors with plans having optimal environment-cost-time performances. Discrete-event simulation (DES) and particle swarm optimisation algorithms (PSO) are integrated through an iterative loop, which remarkably reduces the efforts on optimal scenarios searching. In the integrated method, the simulation module can model the construction equipment and materials consumption; the assessment module can evaluate multi-objective performances; and the optimisation module fast converges on optimal solutions. A prototype is developed and implemented in a hotel building construction. Results show that the proposed method greatly reduced the times of simulation compared with enumeration method. It provides the contractor with a trade-off solution that can average reduce 26.9% of environmental impact, 19.7% of construction cost, and 10.2% of project duration. The method provides contractors with an efficient and practical decision support tool for environmentally friendly planning.

Place, publisher, year, edition, pages
MDPI, 2018. Vol. 10, no 11, article id 4207
Keywords [en]
construction contractor, environment-cost-time optimisation, particle swarm optimisation, discrete-event simulation, construction planning
National Category
Infrastructure Engineering Construction Management
Research subject
Construction Management and Building Technology; Structural Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-71814DOI: 10.3390/su10114207ISI: 000451531700381Scopus ID: 2-s2.0-85056598920OAI: oai:DiVA.org:ltu-71814DiVA, id: diva2:1266847
Note

Validerad;2018;Nivå 2;2018-11-29 (svasva)

Available from: 2018-11-29 Created: 2018-11-29 Last updated: 2019-02-27Bibliographically approved

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Feng, KailunLu, WeizhuoChen, Shiwei

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