Skip navigation


  • DSpace logo
  • Home
  • Collections
  • Researcher Profile
  • Explore by
    • Researcher Profile
  • VGU library
  • Help
  • User Guide
  • Sign on to:
    • My DSpace
    • Receive email
      updates
    • Edit Account details

VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/2114
DC FieldValueLanguage
dc.contributor.authorNguyen Huynh Truc Linhen_US
dc.date.accessioned2026-01-08T07:17:11Z-
dc.date.accessioned2026-01-08T07:17:15Z-
dc.date.available2026-01-08T07:17:11Z-
dc.date.available2026-01-08T07:17:15Z-
dc.date.issued2024-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/2114-
dc.description.abstractModern manufacturing faces increasing pressure to enhance flexibility and optimize processes to meet demands for accuracy, personalization, and performance, particularly in industries such as chip manufacturing. This thesis proposes a framework for automating production planning based on Industry 4.0 technologies, integrating Artificial Intelligence (AI), the Industrial Internet of Things (IoT), and Manufacturing Execution Systems (MES). AI minimizes product changeover times and downtime through real-time operational data analysis, IoT enables continuous monitoring of performance indicators, and MES synchronizes data across production modules. A flexible production planning algorithm dynamically redistributes workloads based on delivery priorities, module status, and sudden operational changes, ensuring continuous operation and optimized system efficiency. The framework demonstrates significant potential in reducing downtime, optimizing changeover times, and maintaining high productivity in modular manufacturing systems. By combining AI-driven analytics, IoT monitoring, and MES integration, this research offers a scalable, adaptable approach for Industry 4.0 enterprises seeking improved production management and real-time automation.en_US
dc.language.isoenen_US
dc.rightshttps://creativecommons.org/licenses/by-nc/4.0/*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectProduction planning automationen_US
dc.subjectModular manufacturingen_US
dc.subjectManufacturing Execution Systems (MES)en_US
dc.subjectFlexible manufacturingen_US
dc.titleStrategies for comprehensive production planning under performance variabilityen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
Appears in Collections:Global Production Engineering & Management (GPEM)
Global Production Engineering & Management (GPEM)
Files in This Item:
File Description SizeFormat Existing users please Login
Strategies for comprehensive production planning under performance variability.pdf1.46 MBAdobe PDF
Show simple item record

Google ScholarTM

Check


This item is licensed under a Creative Commons License Creative Commons

© Copyright 2020 by Vietnamese - German University Library.
Add: Ring road 4, Quarter 4, Thoi Hoa Ward, Ben Cat City, Binh Duong Province
Tel.:(0274) 222 0990. Ext.: 70206