SZodixStudyAcademic Library

Dashboard Shelves Open access My library Inbox Notes Write Learn Alerts

More

Ask your library Notifications Quick cite Review

Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated

Machine Learning for industrial applications: A comprehensive literature review · Study

ArticleShelves

ArticleMachine Learning for industrial applications: A comprehensive literature review

Massimo Bertolini2021

OA

Articlegreen2021

Machine Learning for industrial applications: A comprehensive literature review

Massimo Bertolini · Davide Mezzogori · Mattia Neroni · Francesco Zammori

553 citations·0/0 files stored·Expert Systems with Applications

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Impact of AI and Big Data on Business and Society Management and Optimization Techniques Digital Transformation in Industry

Abstract

No abstract was published for this record.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 553 citations exist upstream.

References

2013Big Data : The Management Revolution 2004The Toyota way : 14 management principles from the world's greatest manufacturer 2012Big data: the management revolution.2013Data Science, Predictive Analytics, and Big Data: A Revolution That Will Transform Supply Chain Design and Management 2019A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing

Cited by

2024Enhancing Supply Chain Agility and Sustainability through Machine Learning: Optimization Techniques for Logistics and Inventory Management 2021Application of Machine Learning in Supply Chain Management: A Comprehensive Overview of the Main Areas 2024Gig work and gig workers: An integrative review and agenda for future research 2024Enhancing supply chain management with deep learning and machine learning techniques: A review 2022Building a data‐driven circular supply chain hierarchical structure: Resource recovery implementation drives circular business strategy 2022Applications of deep learning into supply chain management: a systematic literature review and a framework for future research 2022A Review on AI for Smart Manufacturing: Deep Learning Challenges and Solutions

Related works

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

2019Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilitiesarticle · 3 shared references 2019Big Data and Predictive Analytics and Manufacturing Performance: Integrating Institutional Theory, Resource‐Based View and Big Data Culturearticle · 3 shared references 2020The smart circular economy: A digital-enabled circular strategies framework for manufacturing companiesarticle · 3 shared references 2019Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environmentarticle · 3 shared references 2017Can big data and predictive analytics improve social and environmental sustainability?article · 3 shared references 2019Big data analytics and firm performance: Findings from a mixed-method approacharticle · 3 shared references

Details

Year2021

Typearticle

Published2021-03-05

VenueExpert Systems with Applications

ISSN-L0957-4174

Languageen

Citations553

Files0 public / 0

ShelfImpact of AI and Big Data on Business and Society

Identifiers

doi10.1016/j.eswa.2021.114820

openalex_workW3133743901

Links

Imported from OpenAlex (CC0) — nothing here is generated.

2023Critical analysis of the impact of artificial intelligence integration with cutting-edge technologies for production systems