Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model
Sustainable management of construction and demolition wastes (CDWs) has become a pressing global issue in social, environmental, and economic contexts, involving complex technological, engineering, management, and regulatory challenges. Recently, many CDW management strategies have been developed ba...
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2024
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| Online Access: | https://bspace.buid.ac.ae/handle/1234/2749 |
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| author | GHAILANI, HEND |
| author_facet | GHAILANI, HEND |
| author_role | author |
| dc.contributor.none.fl_str_mv | Professor Piyush Maheshwari |
| dc.creator.none.fl_str_mv | GHAILANI, HEND |
| dc.date.none.fl_str_mv | 2024-04 2025-01-22T12:31:24Z 2025-01-22T12:31:24Z |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | 20170149 https://bspace.buid.ac.ae/handle/1234/2749 |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | The British University in Dubai (BUiD) |
| dc.subject.none.fl_str_mv | construction and demolition waste, FDOSM, FWZIC, MULTIMOORA, multiple attribute decision-making |
| dc.title.none.fl_str_mv | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| dc.type.none.fl_str_mv | Thesis |
| description | Sustainable management of construction and demolition wastes (CDWs) has become a pressing global issue in social, environmental, and economic contexts, involving complex technological, engineering, management, and regulatory challenges. Recently, many CDW management strategies have been developed based on the barrier attributes of reuse distribution. However, no strategy can simultaneously address all barrier attributes of reuse distribution. Furthermore, no research has assessed and modelled the identified CDW management strategies to determine optimality. On this basis, the presence of multiple barrier attributes, varying attribute priority, and a wide range of data allow for the modelling of CDW management strategies under complex multiple-attribute decision-making problems. This study develops the fuzzy-weighted zero inconsistency (FWZIC) and fuzzy decision by opinion score method (FDOSM)-based multiplicative multiple objective optimizations by ratio analysis (MULTIMOORA) with the q-rung orthopair probabilistic hesitant fuzzy set (q-ROPHFS) to address this problem. The developed q-ROPHFS–FWZIC method prioritized and weighed the main and sub-barrier attributes of reuse distribution in CDW management strategies. The developed q-ROPHFS–FDOSM is used to score the CDW management strategies. Then, the MULTIMOORA method is used to model 51 CDW management strategies to determine the optimum one. Results showed that Strategy46 modelled first in six q values because it had the most essential attributes (i.e. cost, market, value-for-money, experience, infrastructure, management, risk, and trust). Strategy17 and Strategy20 are the least sustainable strategies because they had only one attribute (i.e. experience). Sensitivity analysis, systematic modelling, and comparison analysis are conducted to validate and evaluate the stability and robustness of the proposed methods. The implications of this study would likely benefit a variety of stakeholders involved in the construction industry, including construction companies, architects, engineers, policymakers, and members of the public. |
| id | budr_50293db631c8c637c59f45ccf5c41a1e |
| identifier_str_mv | 20170149 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/2749 |
| publishDate | 2024 |
| publisher.none.fl_str_mv | The British University in Dubai (BUiD) |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision ModelGHAILANI, HENDconstruction and demolition waste, FDOSM, FWZIC, MULTIMOORA, multiple attribute decision-makingSustainable management of construction and demolition wastes (CDWs) has become a pressing global issue in social, environmental, and economic contexts, involving complex technological, engineering, management, and regulatory challenges. Recently, many CDW management strategies have been developed based on the barrier attributes of reuse distribution. However, no strategy can simultaneously address all barrier attributes of reuse distribution. Furthermore, no research has assessed and modelled the identified CDW management strategies to determine optimality. On this basis, the presence of multiple barrier attributes, varying attribute priority, and a wide range of data allow for the modelling of CDW management strategies under complex multiple-attribute decision-making problems. This study develops the fuzzy-weighted zero inconsistency (FWZIC) and fuzzy decision by opinion score method (FDOSM)-based multiplicative multiple objective optimizations by ratio analysis (MULTIMOORA) with the q-rung orthopair probabilistic hesitant fuzzy set (q-ROPHFS) to address this problem. The developed q-ROPHFS–FWZIC method prioritized and weighed the main and sub-barrier attributes of reuse distribution in CDW management strategies. The developed q-ROPHFS–FDOSM is used to score the CDW management strategies. Then, the MULTIMOORA method is used to model 51 CDW management strategies to determine the optimum one. Results showed that Strategy46 modelled first in six q values because it had the most essential attributes (i.e. cost, market, value-for-money, experience, infrastructure, management, risk, and trust). Strategy17 and Strategy20 are the least sustainable strategies because they had only one attribute (i.e. experience). Sensitivity analysis, systematic modelling, and comparison analysis are conducted to validate and evaluate the stability and robustness of the proposed methods. The implications of this study would likely benefit a variety of stakeholders involved in the construction industry, including construction companies, architects, engineers, policymakers, and members of the public.The British University in Dubai (BUiD)Professor Piyush Maheshwari2025-01-22T12:31:24Z2025-01-22T12:31:24Z2024-04Thesisapplication/pdf20170149https://bspace.buid.ac.ae/handle/1234/2749enoai:bspace.buid.ac.ae:1234/27492025-01-22T23:00:34Z |
| spellingShingle | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model GHAILANI, HEND construction and demolition waste, FDOSM, FWZIC, MULTIMOORA, multiple attribute decision-making |
| title | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| title_full | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| title_fullStr | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| title_full_unstemmed | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| title_short | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| title_sort | Strategic Management Approaches for Sustainable Handling of Construction and Demolition Wastes Through a Q-Rung Orthopair Probabilistic Hesitant Fuzzy Set Decision Model |
| topic | construction and demolition waste, FDOSM, FWZIC, MULTIMOORA, multiple attribute decision-making |
| url | https://bspace.buid.ac.ae/handle/1234/2749 |