Issue |
E3S Web Conf.
Volume 422, 2023
2023 5th International Conference on Resources and Environment Sciences (ICRES 2023)
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Article Number | 02005 | |
Number of page(s) | 12 | |
Section | Environmental Protection, Life Cycle Assessment, and Sustainable Development | |
DOI | https://doi.org/10.1051/e3sconf/202342202005 | |
Published online | 06 September 2023 |
Building a Multi-Objective Flexible Optimal Decision Model for Green Supply Chains
Department of Business Management, Tatung University, Taipei, Taiwan
* Corresponding author: iwfang@gm.ttu.edu.tw
Due to climate change, the importance of environmental protection, and the operation of the global supply chain influenced by the pandemic, building a flexible green supply chain model can help enterprises keep operational sustainability and strengthen competitive advantages. However, it can be found from relevant literature that research on green supply chain flexibility is still insufficient. This study aims to fill the research gap, and attempts to develop a multi-objective mixed integer programming model for a flexible green supply chain network design to maximize the profit, the amicable production level. To our knowledge, this proposed model is the first effort to take economic factors, environmental factors, supply flexibility, manufacturing flexibility, distribution flexibility and reverse logistics flexibility into account simultaneously, and can be a reference for supporting effectively management of the green supply chain network design. The research result and findings can be a reference for related academic researches and also can be used to guide the development of a green supply chain model for making better decision.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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