the human brain. In the context of supply chain management, ANNs can be used for demand forecasting, inventory …. Artificial neural networks in supply chain management is studied in the research work to analyze and enhance performances of … supply chain management in process of part manufacturing. New ideas and concepts of future research works are presented by …

Robust and resilient agri-food supply chain management (AFSCM) is paramount to agribusinesses, given the many … crucial supply chain network, particularly in emerging economies, can put the lives of millions in danger, not to mention … analyze the mitigation strategies for dealing with various risks in the context of the agri-food supply chain. The M-RMM is …

supply-chain practices encounter several barriers. This study aims to analyze the barriers and solution proposals related to … green supply chain practices in the manufacturing sector. Face-to-face interviews with eleven decision-makers in the … manufacturing industry who know about green supply chain practices provided the data for the study. In the analysis phase, the …

advocates using child-level forecasts in a hierarchical supply chain to improve parent-level forecasts. Improved forecasts can … method, supply chain planners can derive more accurate forecasting results by exploiting the benefit of multivariate data. …

without negatively impacting the environment and Green Supply Chain Management (GSCM) is one of them. This paper focuses on … examination addresses the major obstacles in utilizing GSCM practices effectively and proposes a management approach for …

This paper aims to explore the causes of supply chain management disruptions in the manufacturing sector. Supply chain …, manufacturing companies can enhance their supply chain's ability to withstand disruptions and ensure uninterrupted operations. In … conclusion, this review emphasizes the critical importance of addressing supply chain disruptions in the manufacturing sector and …