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Application of Artifical Intelligence in Construction Waste Management

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dc.contributor.author Ali, Tauha Hussain
dc.contributor.author Akhund, Muhammad Akram
dc.contributor.author Memon, Nafees Ahmed
dc.contributor.author Memon, Aftab Hamed
dc.contributor.author Imad, Hafiz Usama
dc.contributor.author Khahro, Shabir Hussain
dc.date.accessioned 2019-11-14T06:52:39Z
dc.date.available 2019-11-14T06:52:39Z
dc.date.issued 2019-03-02
dc.identifier.uri http://142.54.178.187:9060/xmlui/handle/123456789/1263
dc.description.abstract Nowadays, the construction industry faces numerous problems, among which, managing construction and demolition waste are of key concern. As this waste is a threat to the environment and it demands significant financial resources to be tackled. Though human being can think in multi-dimension, but to consider all the contributing attributes for waste management is beyond its limit. For this purpose, there has been always a need of a artificial intelligence (AI) which could help in directing towards the management of the produced waste. Generation of construction and demolition (C&D) waste is unavoidable in any circumstance and handling this waste is always a menace to the managers. This requires high technicalities and a huge amount of resources to be spent on proper waste control. This paper aims to develop a conceptual framework for an effective construction waste management system (EMS) by application of artificial intelligence (AI), which could decide a suitable technique to be implemented on the produced waste. A comprehensive review of waste generation attributes, waste management techniques, and adaptability & feasibility is carried out to identify loopholes and limitations of each technique. The proposed EMS will help the construction practitioners to apply the most suitable, most viable, most feasible and most economical waste management technique to control on-site construction and demolition waste, based on its own capacity and type of waste. en_US
dc.language.iso en_US en_US
dc.publisher 8th International Conference on Industrial Technology and Management (ICITM) en_US
dc.subject Engineering and Technology en_US
dc.subject Waste management en_US
dc.subject Artificial intelligence en_US
dc.subject Construction industry en_US
dc.subject Production en_US
dc.subject Solids en_US
dc.subject Sociology en_US
dc.title Application of Artifical Intelligence in Construction Waste Management en_US
dc.type Proceedings en_US


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