Title | Sustainable supplier selection and order allocation for multinational enterprises considering supply disruption in COVID-19 era |
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Type | Journal article |
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Authors | Shao, Y., Barnes, D. and Wu, C. |
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Abstract | The unprecedented outbreak of COVID-19 has left many multinational enterprises facing extremely severe supply disruptions. Besides considering triple-bottom-line requirements, managers now also have to consider supply disruption due to the pandemic more seriously. However, existing research does not take these two key objectives into account simultaneously. To bridge this research gap, based on the characteristics of COVID-19 and similar global emergency events, this paper proposes a model that aims to solve the problem of sustainable supplier selection and order allocation considering supply disruption in the COVID-19 era. It does so by using a multi-stage multi-objective optimization model applied to the different stages of development and spread of the pandemic. Then, a novel nRa-NSGA-II algorithm is proposed to solve the high-dimensional multi-objective optimization model. The applicability and effectiveness of the proposed model is illustrated in a well-known multinational producer of shortwave therapeutic instruments. |
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Keywords | sustainable supplier selection |
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| order allocation |
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| supply disruption |
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| multi-stage multi-objective optimization |
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| nRa-NSGA-II |
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| COVID-19 |
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Journal | Australian Journal of Management |
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Journal citation | 48 (2), pp. 284-322 |
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ISSN | 0312-8962 |
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| 1327-2020 |
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Year | 2023 |
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Publisher | Sage |
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Accepted author manuscript | File Access Level Open (open metadata and files) |
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Digital Object Identifier (DOI) | https://doi.org/10.1177/03128962211066953 |
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Publication dates |
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Published online | 22 Jan 2022 |
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Published in print | 2023 |
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Funder | National Natural Science Foundation of China |
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