Organizations must rethink and optimize their existing strategies to meet their sustainable business goals, due to the constant depletion of vital resources and the greater demands of societal issues. The increasing population not only has an impact on natural resources, but it also results in greater pollution and contributes to greater levels of poverty. With these considerations, on September 25, 2015, some countries adopted a new set of sustainability development goals (SDGs) to end poverty and to improve prosperity worldwide. Seventeen sustainable development goals have been targeted to achieve by 2030 under the new sustainable development agenda. Further, these sustainable development goals encompass a range of perspectives and various levels of applications, including supply chain management.
In recent years, researchers and practitioners have addressed supply chain management issues because of their significant impacts on organizational developments regardless of the field of applications. Over the years, researchers have proven that an inefficient supply chain can force an organization to fail. Hence, integrating SDGs in operations and supply chain management areas is an important topic to explore. Many studies sought to explore sustainability in supply chain management with a wide range of concepts and strategies, including green, lean, and other approaches with a special focus on newly targeted SDGs. Research is needed to further analyze and shape the implementation of SDGs in supply chain management environments with the help of advanced operations research (OR) methods, including multi-attribute decision making (MADM) and multi-objective decision making (MODM).
The main objective of this special section is to invite academic practitioners to contribute a better understanding of the scientific basis for decoupling economic growth from resource depletion and environmental degradation while improving human lives with the assistance of advanced OR methods. It is believed that advanced optimization models and algorithms can improve data-driven decision models by either formulating pattern discoveries and knowledge extraction problems or by defining efficient algorithms for implementing SDGs in supply chain management at a macro level. Additionally, new algorithms continually make efficiency gains and improve the applicability of older algorithms. Virtually every numerical analysis includes several optimization algorithms that can be applied to design sustainability in supply chain. With these concerns, this special section pertains to sustainable supply chain management (SSCM) by making direct connections between resources, the environment, the economy, and the goal of achieving SDGs in different parts of the world through OR methods.
These themes should incorporate an integrated approach: looking at possibilities of connecting the conservation of resources with sustainable human economic activities (from a supply chain perspective), and monitoring progress towards sustainable indicator strategies with the support of multi stakeholders in predominant inter- and intra- organizational management fields. This special section will comprise a significant body of knowledge about how natural resources are being utilized in various economies and will address the impact of this use on the eco-efficient and socio-economic systems, and suggest pathways of transitioning to a more sustainable future. This perspective includes building on and expounding the significance of resource conservation and efficiency along with a societal focus to improve sustainable development in supply chain management by achieving the proposed SDGs.
This special section seeks to be specific regarding the different kinds of sustainable supply chains because they can affect the policy implications of different sustainable indicators. In addition to these ideas, this special section welcomes authors to contact us to discuss other possible subtopics. To encourage effective methods and thereby motivate the authors to adopt a variety of sustainable supply chain perspectives in approaching this subject, the special section Editor has purposely kept the above list of suggested topics short. However, all submissions must suit within the domain statement of the journal.