Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence applications in supply chain management
This paper presents a systematic review of studies related to artificial intelligence (AI)
applications in supply chain management (SCM). Our systematic search of the related …
applications in supply chain management (SCM). Our systematic search of the related …
Future of artificial intelligence and its influence on supply chain risk management–A systematic review
Abstract Supply Chain Risk Management (SCRM) is a rapidly growing field of research
encompassing identification, assessment, mitigation, and monitoring of the risks or …
encompassing identification, assessment, mitigation, and monitoring of the risks or …
Artificial intelligence-driven supply chain resilience in Vietnamese manufacturing small-and medium-sized enterprises
Despite the exponential growth of artificial intelligence (AI) research in operations, supply
chain, and productions management literature, empirical insights on how organisational …
chain, and productions management literature, empirical insights on how organisational …
Machine learning and deep learning in smart manufacturing: The smart grid paradigm
Industry 4.0 is the new industrial revolution. By connecting every machine and activity
through network sensors to the Internet, a huge amount of data is generated. Machine …
through network sensors to the Internet, a huge amount of data is generated. Machine …
Application of machine learning in supply chain management: a comprehensive overview of the main areas
In today's complex and ever‐changing world, concerns about the lack of enough data have
been replaced by concerns about too much data for supply chain management (SCM). The …
been replaced by concerns about too much data for supply chain management (SCM). The …
Predicting supply chain risks using machine learning: The trade-off between performance and interpretability
Managing supply chain risks has received increased attention in recent years, aiming to
shield supply chains from disruptions by predicting their occurrence and mitigating their …
shield supply chains from disruptions by predicting their occurrence and mitigating their …
A model integrating lean and green practices for viable, sustainable, and digital supply chain performance
In disrupted environments, the concept of digitalisation, viability, and sustainability have
attracted considerable attention for the last decade. Digital, lean, and green capabilities …
attracted considerable attention for the last decade. Digital, lean, and green capabilities …
Applications of artificial intelligence and machine learning within supply chains: systematic review and future research directions
Purpose The purpose of this study is to investigate how artificial intelligence (AI), as well as
machine learning (ML) techniques, are being applied and implemented within supply chains …
machine learning (ML) techniques, are being applied and implemented within supply chains …
A review of explainable artificial intelligence in supply chain management using neurosymbolic approaches
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 …
research. However, the majority of AI approaches explored in this context afford little to no …
Decision support system for adaptive sourcing and inventory management in small-and medium-sized enterprises
Elevated business uncertainties and competition over recent years have caused changes to
the data-driven supply chain management of sourcing and inventories across industries …
the data-driven supply chain management of sourcing and inventories across industries …