Research interests in machine learning (ML) and supply chain management (SCM) have
yielded an enormous amount of publications during the last two decades. However, in the …

Artificial Intelligence (AI) and prescriptive analytics are increasingly being reported as
having transformative powers to enable resilient supply chains (SC). Despite such a benefit …

Growing awareness about the environmental and social issues and pressure from all
stakeholders has forced industries to adopt sustainability practices in their supply chains …

Supplier selection is an important issue in supply chain management (SCM), and essentially
is a multi-criteria decision-making problem. Supplier selection highly depends on experts' …

Abstract Industry 4.0 (I4. 0) considers a number of changes in enterprises, including
business models, to achieve the Smart Factory concept. This implies a complete …

How to select the optimal supplier is an open and important issue in supply chain
management, which can be considered as a multi-criteria decision-making (MCDM) …

A supply chain performance prediction system aims to estimate lagging metrics based on
leading metrics so as to predict performance based on causal relationships. Two studies in …

Evaluating suppliers' quality performance is one of critical tasks of quality management
since it is directly related to quality assurance, improvement and development, especially for …

Since a company can only perform as well as it is allowed to by its suppliers, the importance
of supplier selection in supply chain management has been increasingly recognized …

Evaluating suppliers and supporting their continuous improvement have become critical for
supply chain (SC) performance management. Since the performance of an organization in a …