A hybrid framework for the design of production systems combining simulation and optimisation methods

To address the challenges in modern industries and to improve Industry 4.0 capability, digitalised design methods and solutions need to be more integrated and self-adaptive. However, current approaches for production design methods that can provide adaptive design and planning for manufacturing systems in line with the challenges in Industry 4.0.<br/><br/>The core problem in designing and planning for manufacturing systems in this project is the assembly line balancing problem (ALBP), together with other aspects of a production system, have bee studied by simulation and optimisation techniques. In existing methods, both simulation and optimisation methods and tools have been developed for the focused problem, however, there are still great challenges to overcome.<br/>

Name dc:type.qualificationname

Doctor of Philosophy

Level dc:type.qualificationlevel

Doctoral Thesis

Grantor dc:publisher.institution

Queen's University Belfast

Year dc:date.issued

2022

Author dc:creator

• Li, Shuang

Advisors dc:contributor.advisor

• Murphy, Adrian
• Butterfield, Joseph

• Simulation
• optimisation
• genetic algorithm
• discrete event simulation
• Industry 4.0
• line balancing
• digital manufacturing

Language dc:language

eng

Identifier

oai:pure.qub.ac.uk/portal:studenttheses/7876bc81-ad30-453a-9176-4e3549156ec1

OAI identifier oai:identifier

oai:pure.qub.ac.uk/portal:studenttheses/7876bc81-ad30-453a-9176-4e3549156ec1