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

  • Shuang Li

Student thesis: Doctoral ThesisDoctor of Philosophy


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.

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.
Date of AwardJul 2022
Original languageEnglish
Awarding Institution
  • Queen's University Belfast
SupervisorAdrian Murphy (Supervisor) & Joseph Butterfield (Supervisor)


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

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