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oai:figshare.com:article/32632437 2026-10-01T17:11:34Z portal_1172 item_type_8 month_year_10_2026

A hybrid framework for the design of production systems combining simulation and optimisation methods Shuang Li (146392) PUREID: 293538499 Simulation optimisation genetic algorithm discrete event simulation Industry 4.0 line balancing digital manufacturing 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> 2026-10-01T17:11:34Z Text Thesis 10.17034/32632437.v1 https://figshare.com/articles/thesis/A_hybrid_framework_for_the_design_of_production_systems_combining_simulation_and_optimisation_methods/32632437 All Rights Reserved