BIBFRAME Work

Title

Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Type

• Monograph
• Text

Contribution

Dao, Son Duy (aut)

Subject

• Computational intelligence (LCSH)
• Engineering economy (LCSH)
• TBC
• KJMV
• 519020
• Manufactures (LCSH)
• T11014
• TEC000000 (BISACSH)
• Business logistics (LCSH)
• T22050
• T22016

Language

• English

Classification

• LCC: TA177.4-185 (Status: not used by assigner) (Status: upgraded prepub)
• DDC: 658.5

Content

• text

Summary

This thesis reports on an innovative production-scheduling model for virtual computer-integrated manufacturing (VCIM) systems. It also describes a robust genetic algorithm for production scheduling in VCIM systems. The model, which is the most comprehensive of its kind to date, is not only capable of supporting collaborative shipment scheduling and handling multiple product orders simultaneously, but also helps cope with multiple objective functions under uncertainties. In turn, the genetic algorithm, characterised by an innovative algorithm structure, chromosome encoding, crossover and mutation, is capable of searching for optimal/suboptimal solutions to the complex optimisation problem in the VCIM production- scheduling model described. Lastly, the effectiveness of the proposed approach is verified in a comprehensive case study.

Authorized Access Point

Dao, Son Duy. Modelling and Intelligent Optimisation of Production Scheduling in VCIM Systems

Admin Metadata

• Date: 2026-09-11T20:13:22.960875+00:00
• Agent: cbc
• Status: c
• Derived from: 21678442

Admin Metadata

• Date: 2026-09-11
• Cataloger id: Unknown
• Description level: http://id.loc.gov/ontologies/bibframe-2-6-0/
• Description language: eng
• Description authentication: pcc