Prioritizing Key Parameters for Sustainable Supply Chain Development in the Construction Industry Using a Copeland Hybrid Method

Over the past few decades, sustainability has attracted massive attention at the local, regional, and national levels. The building and construction industry is one of the main areas in which, due to its nature of activities, prioritizing and identifying its key supply chain parameters are core elements of sustainable development programs. In this paper, economic, social, and environmental indicators are investigated using a developed hybrid model based on BWM, AHP, and SWARA to identify and prioritize the significant parameters in this field. 21 different indicators are analyzed by the Likert scale according to their role in progress toward sustainable development. The criteria weights are achieved through a survey of 10 academic and industrial experts whose research interests are sustainability and supply chain management. The Copeland methodology has been used to integrate the output of three models and draw the final result. The results showed that from economic point of view ‘Tech-econ evaluation’, in social aspects ‘employees’ health and safety’, and in environmental aspects ‘Developing green technologies in supply chain’ have reported the highest final dominant scores in Copeland methodology respectively. The proposed model is expected to help industrial experts and managers to identify key sustainable parameters of supply chain in construction industry and set their goals toward sustainability accordingly.

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Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2024-10-01
DOI
https://doi.org/10.22097/eeer.2024.459674.1328
Citations
1
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.55
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article

Prioritizing Key Parameters for Sustainable Supply Chain Development in the Construction Industry Using a Copeland Hybrid Method

1 citations
SHILAP Revista de lepidopterología
Sustainable Supply Chain Management
0.55
article

Prioritizing Key Parameters for Sustainable Supply Chain Development in the Construction Industry Using a Copeland Hybrid Method

article en
1 citations

Abstract

Over the past few decades, sustainability has attracted massive attention at the local, regional, and national levels. The building and construction industry is one of the main areas in which, due to its nature of activities, prioritizing and identifying its key supply chain parameters are core elements of sustainable development programs. In this paper, economic, social, and environmental indicators are investigated using a developed hybrid model based on BWM, AHP, and SWARA to identify and prioritize the significant parameters in this field. 21 different indicators are analyzed by the Likert scale according to their role in progress toward sustainable development. The criteria weights are achieved through a survey of 10 academic and industrial experts whose research interests are sustainability and supply chain management. The Copeland methodology has been used to integrate the output of three models and draw the final result. The results showed that from economic point of view ‘Tech-econ evaluation’, in social aspects ‘employees’ health and safety’, and in environmental aspects ‘Developing green technologies in supply chain’ have reported the highest final dominant scores in Copeland methodology respectively. The proposed model is expected to help industrial experts and managers to identify key sustainable parameters of supply chain in construction industry and set their goals toward sustainability accordingly.

SHILAP Revista de lepidopterología
Missouri University of Science and Technology (US), University of Tehran (IR), Iran University of Science and Technology (IR)
Industry, innovation and infrastructure
Openalex Percentile: Top 18%
Sustainable Supply Chain Management
0.55
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Prioritizing Key Parameters for Sustainable Supply Chain Development in the Construction Industry Using a Copeland Hybrid Method · SHILAP Revista de lepidopterología (2024) | TGRS Research Map | TGRS