Optimization in Green Transformation for Advanced Manufacturing and Modern Service Industry

Dear Colleagues,

Environmental degradation and the excessive use of natural resources have become global concerns. Thus, stringent legislative measures, such as laws, regulations, public policies, and carbon taxes, have been proposed to promote green transformation. However, with the economy contracting due to COVID-19 and regional conflicts, there is a growing realization that we need to find the best trade-off between environmental protection and economic growth, especially in developing countries, to achieve a sustainable environmentally friendly economy. Therefore, adopting optimization methods to realize an optimal complete transmission belt from global policies to operational activities is absolutely necessary. As an important pillar of basic industry, the manufacturing and service industry has become the main object of attention with regard to achieving green transformation. Some advanced research methods, such as operation research, computer science, simulation technology, big data technology, etc., have a wide range of applications in these industries. Therefore, in this Special Issue, we invite cutting-edge researchers to submit original and review articles on the theme of optimization in green transformation for advanced manufacturing and the modern service industry, especially those combining a high academic standard coupled with a practical focus on providing optimal solutions for green transformation. Topics of interest include, but are not limited to:

• Resource-oriented integrated supply chain management
• Green scheduling model and algorithms;
• Sharing economy in manufacturing and service industry;
• Green finance and sustainable development;
• Consumer’s preferences for low carbon products;
• Corporate environmental performance optimization;
• Technological approaches to enhance ecosystem carbon sinks;

We look forward to receiving your contributions.

Prof. Dr. Xin Feng
Guest Editor

Manuscript Submission Information

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