The main goal of manufacturing industry is to produce the end products on time with good quality and keep the resource wastage low. However, manufacturing industry face several challenges such as bottle necks in the workflow, unsynchronized production, and sudden increase in product demands. In this paper, we are proposing a management platform for textile manufacturing plants with following modules: (1) sewing workflow optimization (2) quality assurance workflow optimization and (3) finishing workflow optimizations. We have used Genetic Programming (GP) approach, to optimize the workflows, considering different factors that affect each workflow. Our results show that, using our proposed platform, the manufacturing workflows can be optimized and reduce the bottle necks in the workflows and resource wastage in the manufacturing plant.

How to Cite
LIYANAGE, SACHIRA NUWANGA, RAVIDU ANJANA, WINDHYA RANKOTHGE, NARMADA GAMAGE, Isuru. Sustainable Manufacturing: Application of Optimization to Textile Manufacturing Plants. Global Journal of Computer Science and Technology, [S.l.], oct. 2020. ISSN 0975-4172. Available at: <https://computerresearch.org/index.php/computer/article/view/1970>. Date accessed: 27 nov. 2020. doi: https://doi.org/10.34257/GJCSTHVOL20IS2PG11.