Call for Papers
Recent Advances of Intelligent Approaches in Circular Supply Chain Management: From Energy and Environmental Perspectives
Since the last decade, a rising research trend has been covering the evolution of environmental and energy awareness in light of the requirements imposed by the main climate change consensus. Accordingly, a variety of strict rules have been laid down on individual companies and supply chains operating in both the manufacturing and service sectors. Based on these requirements, supply systems have been affected by sustainability issues, the impact of environmental management strategies, and the new opportunities provided to sustainable supply systems in terms of energy and environmental aspects.
Circular Supply Chain Management (CSCM) is a new approach in the corporation of production and distribution companies dealing with sustainability issues as well as resource consumption efficiency. In this regard, energy consumption management is one of the most critical issues. Energy efficiency stands for a pivotal resource for economic and social development, yielding critical benefits to different stakeholders. In addition to cost-savings, multiple benefits can be obtained by providing a better balance between energy/environmental issues and strategic business priorities.
According to these points of view, new concepts began to spread in the body of literature, namely circular economy, sustainable development, green design, resiliency, and energy awareness. Recently, many researchers have worked on these concepts in different phases of supply chain management using operations research techniques.
The growth in this research direction has been exponential, and this trend is likely to be sustained for at least another decade or more. However, proving the best possible decision for circular supply chains is more complex than in the traditional supply chain management that requires novel intelligence methods. In this regard, there is still room for advancing and enhancing the intelligence approaches and designing new ones for promoting the circular supply chain.
The objective of this Special Issue is to specifically explore and advance the latest achievements of Artificial Intelligence (AI), Data Science (DS) and Computational Optimization (CO) in circular supply chains. This Special Issue offers a scientific venue catered for researchers who wish to make a rapid exchange of their ideas and innovative research findings that leverage on AI, DS and CO-Analytics and other topics covered in the call. The reason for this attitude is that tangible results can save time and prevent future damage. Therefore, the proposed intelligent methods can significantly contribute to real-world projects. The results also provide a prospective prediction of the technical performance of the systems under study.
We invite researchers and experts worldwide to submit their high-quality innovative research papers and critical review articles on the possible topics below. Due to the on-going COVID-19 pandemic, priority will be given to manuscripts that contribute to the application of circular supply chain in addressing the current situation.
- Application of Brain-Machine Interface in CSCM
- Application of Deep Learning in CSCM
- Application of machine learning in CSCM
- Game theory and its application in CSCM
- Novel heuristic and meta-heuristic algorithms
- Intelligent methods based on rough sets theory to design a circular supply chain
- Intelligent methods based on grey/fuzzy theory to design a circular supply chain
- Intelligent methods based on stochastic control to design a circular supply chain
- Big data analysis and its application in CSCM
- Fuzzy interface systems and their application in CSCM
Leading guest editor
Dr. Alireza Goli
Department of Industrial Engineering and Future Studies, Faculty of Engineering, University of Isfahan, Iran
Prof. Jose Arturo Garza-Reyes
Professor of Operations Management, Head of the Centre for Supply Chain Improvement, College of Business, Law and Social Sciences, The University of Derby, Kedleston Road Campus
Dr. Huchang Liao
Business School, Sichuan University, Chengdu 610064, China
Dr. Mehdi Jahangiri
Department of Mechanical Engineering, Shahrekord Branch, Islamic Azad University, Shahrekord, Iran
Prof. Mamdouh El Haj Assad
Sustainable and Renewable Energy Engineering Department, University of Sharjah, Sharjah, UAE
Deadline for submission: 30 April 2022
How to submit?
Submit your article via Editorial Manager or by clicking on the Submit manuscript button on the home page of Environment, Development and Sustainability. Please check the Instructions for authors before submitting and select "S.I. Intelligent Approaches in Circular Supply Chain Management” as Article type. In general, manuscripts should be submitted in Word and not exceed 7000 words.
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