Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
September 18, 2025

Industrial Engineering Approaches to Quality Control in Hybrid Manufacturing a Review of Implementation Strategies

View Full Paper
Ask AI
Bookmark
Share

Authors

MHMd Hasan

Discussion

Loading...

Member takes

Overview

This review discusses quality control improvements in hybrid manufacturing, suggesting data-driven strategies and organizational methods for better outcomes.

Key Points

  • Measurable improvements in quality outcomes were achieved through the integration of industrial engineering methods in hybrid manufacturing environments.
  • Analysis of 128 peer-reviewed articles revealed that structured frameworks enhance first-pass yield and reduce scrap rates effectively.
  • The review highlights that effective quality control in hybrid manufacturing now relies on proactive, data-driven systems instead of traditional inspection methods.
  • Ongoing challenges include data interoperability and the need for human oversight to prevent edge-case failures in hybrid manufacturing systems.

Cite This Study

Md Hasan (2024) studied this question.

synapsesocial.com/papers/68d4764e31b076d99fa6e552https://doi.org/10.63125/3xcabx98
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Bridging Classical Quality Tools and Industry 4.0: A Data-Driven Framework for Intelligent Process Control2025 · 1 citations
  2. 2Integration of quality control tools applied to the management of continuous industrial processes: a case study2026
  3. 3Industrialization of Complex Mechanical Systems: A Holistic Approach to Scalable and Certified Production Environments2026
  4. 4ARTIFICIAL INTELLIGENCE FOR PREDICTIVE QUALITYIN INDUSTRIAL PROCESS CONTROL: A COMPREHENSIVE REVIEW2026
  5. 5A scalable framework for predictive quality implementation in discrete manufacturing2026