Future of artificial intelligence and its influence on supply chain risk management–A systematic review
AD Ganesh, P Kalpana - Computers & Industrial Engineering, 2022 - Elsevier
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 …
Costs of resilience and disruptions in supply chain network design models: a review and future research directions
Supply chain network design (SCND) is a key strategic decision in supply chain
management (SCM). One particular area of SCND is concerned with disruption risk …
management (SCM). One particular area of SCND is concerned with disruption risk …
Trends and applications of resilience analytics in supply chain modeling: systematic literature review in the context of the COVID-19 pandemic
The increasingly global context in which businesses operate supports innovation, but also
increases uncertainty around supply chain disruptions. The COVID-19 pandemic clearly …
increases uncertainty around supply chain disruptions. The COVID-19 pandemic clearly …
[HTML][HTML] Digital information in maritime supply chains with blockchain and cloud platforms: Supply chain capabilities, barriers, and research opportunities
Digital transformation plays a key role in improving information sharing and information
processing in supply chains. Specifically, maritime supply chains require numerous data …
processing in supply chains. Specifically, maritime supply chains require numerous data …
Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors
Healthcare is one of the most critical sectors due to its importance in handling public health.
With the outbreak of various diseases, more recently during Covid-19, this sector has gained …
With the outbreak of various diseases, more recently during Covid-19, this sector has gained …
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing
There has been an increased interest in resilient supplier selection in recent years, much of
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …
it focusing on forecasting the disruption probabilities. We conceptualize an entirely different …
An overview of scientometric map** for the safety science community: Methods, tools, and framework
Scientometrics analysis is increasingly applied across scientific domains to gain quantitative
insights in the development of research on particular (sub-) domains of scientific inquiry. By …
insights in the development of research on particular (sub-) domains of scientific inquiry. By …
[HTML][HTML] Supply chain risk management: A content analysis-based review of existing and emerging topics
This paper presents a systematic review of the literature on Supply Chain Risk (SCR)
research, focusing on content-based analysis. The study comprehensively examines the …
research, focusing on content-based analysis. The study comprehensively examines the …
The application of digital twin technology in operations and supply chain management: a bibliometric review
Purpose The application of digital twins to optimise operations and supply chain
management functions is a bourgeoning practice. Scholars have attempted to keep pace …
management functions is a bourgeoning practice. Scholars have attempted to keep pace …
Optimization models for supply chains under risk, uncertainty, and resilience: A state-of-the-art review and future research directions
The study of supply chain (SC) resilience as a research perspective is in an incipient state.
Nevertheless, there is a tremendous amount of literature concerning SCs under risk and …
Nevertheless, there is a tremendous amount of literature concerning SCs under risk and …