Recent Advances in Sustainability and Supply Chain Management: Mathematical Modelling, Optimization and Applications
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "E1: Mathematics and Computer Science".
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5726
Special Issue Editor
Interests: complex system modeling, optimization, and decision making; supply chain optimization; low carbon and sustainability management and optimization; data mining and analytics; engineering optimization
Special Issue Information
Dear Colleagues,
Sustainability factors have been key considerations in recent literature on supply chain management to promote information and capital flow and establish highly efficient, reliable, and competitive supply chains with characteristics including but not limited to economic profitability, low carbon emissions, and social fairness. Mathematical-optimization-based methodologies have been widely applied to obtain sustainable supply chains with significantly successful outcomes in various areas and industrial/business sectors. Novel and advanced mathematical models, algorithms, approaches, and tools have strong theoretical and application potentials and research opportunities for sustainability and supply chain management, which attract strong interest from academia and industry.
This Special Issue of Mathematics focusing on the topic of “Recent Advances in Sustainability and Supply Chain Management: Mathematical Modeling, Optimization, and Applications” aims to address the major sustainability concerns of supply chain management in this era of smart technologies, such as big data, machine learning, artificial intelligence, and blockchain, and collect state-of-the-art research works on the development and applications of novel mathematical models, algorithms, approaches, and tools for supply chain management to achieve supply chain sustainability. Interdisciplinary works across a range of fields, such as management, economics, engineering, health, are particularly welcome.
Dr. Songsong Liu
Guest Editor
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Keywords
- supply chain
- sustainability
- optimization
- mathematical model
- carbon neutrality
- social fairness
- big data
- machine learning
- artificial intelligence
- blockchain
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