Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities
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 …
attention. This is due to the fact that BDA has a wide range of applications in SCM, including …
Data science and big data analytics: A systematic review of methodologies used in the supply chain and logistics research
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 …
extensively in supply chains and logistics (SC &L). However, the existing insights are …
Linkages between big data analytics, circular economy, sustainable supply chain flexibility, and sustainable performance in manufacturing firms
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 …
business significance to develop a competitive and sustainable supply chain. The …
Digitally-enabled sustainable supply chains in the 21st century: A review and a research agenda
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 …
management have been widely reported, less is known concerning the current state-of-the …
[HTML][HTML] A comprehensive framework for sustainable closed-loop supply chain network design
Many companies face challenges in reducing their supply chain costs while increasing
sustainability and customer service levels. A comprehensive framework for a sustainable …
sustainability and customer service levels. A comprehensive framework for a sustainable …
[HTML][HTML] Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda
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 …
(SCs), evolving into a more complex process, with many risks due to the circular or multi …
Sustainability assessment in circular inter-firm networks: An integrated framework of industrial ecology and circular supply chain management approaches
AM Walker, WJV Vermeulen, A Simboli… - Journal of Cleaner …, 2021 - Elsevier
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 …
since its introduction into the public eye. However, to ensure circular economy actually …
Robust optimization of sustainable closed-loop supply chain considering carbon emission schemes
In the context of the circular economy, this paper focuses on develo** an optimal
sustainable Closed-Loop Supply Chain (CLSC) by considering such Carbon Emission …
sustainable Closed-Loop Supply Chain (CLSC) by considering such Carbon Emission …
Permutation Jensen–Shannon divergence for random permutation set
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 …
set, which is an efficient tool for dealing with uncertainty with ordered information. An …
A digital twin-based layout optimization method for discrete manufacturing workshop
H Guo, Y Zhu, Y Zhang, Y Ren, M Chen… - The International Journal …, 2021 - Springer
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 …
impact on the production efficiency, which can result in a large distance between operations …