Big data analytics (BDA) in supply chain management (SCM) is receiving a growing
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …

Data science and big data analytics (DS &BDA) methodologies and tools are used
extensively in supply chains and logistics (SC &L). However, the existing insights are …

The digital supply chains enabled by Big Data Analytics (BDA) capabilities have become a
business significance to develop a competitive and sustainable supply chain. The …

While the potential benefits of integrating digital technologies and supply chain
management have been widely reported, less is known concerning the current state-of-the …

Many companies face challenges in reducing their supply chain costs while increasing
sustainability and customer service levels. A comprehensive framework for a sustainable …

Sustainability issues have driven many industries to close the loop in their supply chains
(SCs), evolving into a more complex process, with many risks due to the circular or multi …

Circular economy has become a central concept of sustainable production and consumption
since its introduction into the public eye. However, to ensure circular economy actually …

In the context of the circular economy, this paper focuses on developing an optimal
sustainable Closed-Loop Supply Chain (CLSC) by considering such Carbon Emission …

Abstract Random Permutation Set (RPS) considers the permutation of elements for a certain
set, which is an efficient tool for dealing with uncertainty with ordered information. An …

In the discrete manufacturing workshop, an unreasonable workshop layout has a significant
impact on the production efficiency, which can result in a large distance between operations …