Sustainable Global Supply Chain Management: From an International Perspective

Dear Colleagues,

In the last decade, sustainable supply chain management (SSCM) has become very pronounced topic and has received increasing attention from different communities. The implementation of SSCM is in line with the role of organizational factors in the adoption of economic, environmental, and social innovations. On the other hand, with the increasing globalization of markets and company operations, the relationships between the various agents in supply chains have become more important with suppliers and are crucial for the successful development of business. In fact, the growing interest in global supply chain management (GSC) has been strongly stimulated by the potential competitive advantages of a global market. Today, GSC forms a key pillar of the business strategy of companies that want to operate successfully in the foreign market. The academic and business community has a growing interest in studying how GSC and SSCM approaches can help improve the performance of companies that act or want to current in global markets. For different reasons, today, the adoption of sustainable practices in the management of companies is a reality, and this requirement is increasingly becoming a priority when it comes to managing global supply chains. Many retail and manufacturing companies operating on a global scale have already started to modernize their supply chain activities by incorporating Industry 4.0 technologies, such as Internet of Things (IoT), artificial intelligence (AI), blockchain, and big data. These technologies will play a key role in the future of supply chain management.

Despite a variety of research studies in this field, the critical factors affecting the provision of SSCM in a global environment, which is now called “sustainable global supply chain (SGSC)”, are still in an embryonic stage. Therefore, there is need for new insight and research into the field that will allow practitioners, decision-makers, and policy-makers to improve decision-making in global and sustainable supply chains. Authors are cordially invited to submit high-quality original research papers, review articles, quantitative and empirical studies, and case studies (for teaching and training) to the Special Issue of Sustainability up until 31 December 2021. Topics include, but are not limited to, the following:

• Sustainable development of GSCs;
• Collaborative approaches to sustainability within GSCs;
• Uncertainty and disruption control in SGSCs;
• Application of operational research (OR) to design SGSCs;
• Application of Internet of Things (IoT) in SGSCs;
• Application of Machine Learning (ML) tools in SGSCs;
• Application of data analytics in SGSCs;
• Enhancement of SGSCs during pandemics;
• Case studies in the field of SGSCs.

We look forward to receive your submissions.

References

• Golpîra, H., Khan, S. A. R., & Safaeipour, S. (2021). A Review of Logistics Internet-of-Things: Current Trends and Scope for Future Research. Journal of Industrial Information Integration, 100194.
• Tirkolaee, E. B., Abbasian, P., & Weber, G. W. (2021). Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. Science of The Total Environment, 143607.
• Pahlevan, S. M., Hosseini, S. M. S., & Goli, A. (2021). Sustainable supply chain network design using products’ life cycle in the aluminum industry. Environmental Science and Pollution Research, 1-25.
• Alinaghian, M., Tirkolaee, E. B., Dezaki, Z. K., Hejazi, S. R., & Ding, W. (2021). An augmented Tabu search algorithm for the green inventory-routing problem with time windows. Swarm and Evolutionary Computation, 60, 100802.
• Valderrama, C. V., Santibanez-González, E., Pimentel, B., Candia-Vejar, A., & Canales-Bustos, L. (2020). Designing an environmental supply chain network in the mining industry to reduce carbon emissions. Journal of Cleaner Production, 254, 119688.
• Goli, A., Zare, H. K., Tavakkoli‐Moghaddam, R., & Sadegheih, A. (2020). Multiobjective fuzzy mathematical model for a financially constrained closed‐loop supply chain with labor employment. Computational Intelligence, 36(1), 4-34.
• Khan, S. A. R., Yu, Z., Golpîra, H., Sharif, A., & Mardani, A. (2020). A state-of-the-art review and meta-analysis on sustainable supply chain management: Future research directions. Journal of Cleaner Production, 123357.
• Tirkolaee, E. B., Mardani, A., Dashtian, Z., Soltani, M., & Weber, G. W. (2020). A novel hybrid method using fuzzy decision making and multi-objective programming for sustainable-reliable supplier selection in two-echelon supply chain design. Journal of Cleaner Production, 250, 119517.
• Golpîra, H. (2020). Optimal integration of the facility location problem into the multi-project multi-supplier multi-resource Construction Supply Chain network design under the vendor managed inventory strategy. Expert systems with applications, 139, 112841.
• Tirkolaee, E. B., Goli, A., Faridnia, A., Soltani, M., & Weber, G. W. (2020). Multi-objective optimization for the reliable pollution-routing problem with cross-dock selection using Pareto-based algorithms. Journal of Cleaner Production, 276, 122927.
• Mardani, A., Kannan, D., Hooker, R. E., Ozkul, S., Alrasheedi, M., & Tirkolaee, E. B. (2020). Evaluation of green and sustainable supply chain management using structural equation modelling: A systematic review of the state of the art literature and recommendations for future research. Journal of cleaner production, 249, 119383.

Dr. Erfan Babaee Tirkolaee
Dr. Hêriş Golpîra
Dr. Alireza Goli
Prof. Ernesto D.R. Santibanez-Gonzalez
Guest Editors

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• sustainable development
• global supply chain
• sustainable supply chain
• uncertainty
• disruption
• supply chain 4.0
• Internet of Things
• Machine Learning