Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …

Supply chain management (SCM) is crucial in establishing long-term partnerships that are
pivotal for achieving sustained business success. Effective SCM demands rigorous criteria …

The purpose of this research paper is to implement a machine learning model with the
integration of the supply chain occupational reference (SCOR) model to develop an artificial …

Artificial Intelligence (AI) has emerged as a complementary technology in supply chain
research. However, the majority of AI approaches explored in this context afford little to no …

Evaluating and selecting suitable suppliers involves several criteria, making it a complex
and difficult problem for decision-makers. Several approaches have been developed to help …

Supplier selection has become increasingly complex regarding selection criteria caused by
expanded data collection processes and supplier numbers due to globalisation effects. This …

This study identifies and examines the critical factors for adopting machine learning
technologies in manufacturing supply chains. Initially, a thorough literature review was …

Background: This study addresses challenges faced by supply chain stakeholders who lack
expert knowledge in making decisions related to Machine Learning. It introduces a novel …

Selection of appropriate suppliers and allocation the orders among them have become the
two key strategic decisions regarding purchasing. In this study, a two-phase integrated …

Supplier quality evaluation in industrial sectors is well-recognized due to its direct impact on
quality assurance and improvement. This task is challenging due to the need to process …