| Title |
From linear to circular sustainable supply chain network optimisation: towards a conceptual framework |
| ID_Doc |
5672 |
| Authors |
Echefaj, K; Charkaoui, A; Cherrafi, A; Tiwari, S; Sharma, P; Jabbour, CJC |
| Title |
From linear to circular sustainable supply chain network optimisation: towards a conceptual framework |
| Year |
2024 |
| Published |
|
| DOI |
10.1080/09537287.2024.2302479 |
| Abstract |
Circular economy has the potential to counter sustainability challenges by moving towards a circular flow that enhances the efficiency of resource use. Government directives and stakeholders' pressures are forcing organisations to redesign their global supply chain network to fit sustainability and circularity aims. To fulfil this need, many models are proposed to integrate sustainability objectives in supply chain optimisation. However, designing a sustainable supply chain within the circular economy framework is lacking. This is a barrier for organisations to provide a circular and sustainable product. To fill this gap, descriptive and content analysis are used in this paper to scrutinise literature and develop a conceptual framework incorporating sustainability objectives and circular economy strategies to assist supply network design. The developed framework is a useful tool that helps in a better transition from a linear to a sustainable circular economy. Based on the results, research opportunities are identified and suggestions for future research are proposed. The findings are useful for researchers and managers to implement circular economy practices in a sustainable supply chain. |
| Author Keywords |
Supply chain; sustainability; circular economy; quantitative model; mathematical programming; literature review |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:001142352000001 |
| WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
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