Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/2425
Title: Sustainable manufacturing: application of optimization to textile manufacturing plants
Authors: Liyanage, I
Nuwanga, S
Anjana, R
Rankothge, W
Gamage, N
Keywords: manufacturing plant
textile industry
optimization
planning
scheduling
genetic programming (GP)
Issue Date: 21-Oct-2020
Publisher: Global Journals
Citation: Liyanage, Sachira Nuwanga, Ravidu Anjana, Windhya Rankothge, Narmada Gamage, I. (2020). Sustainable Manufacturing: Application of Optimization to Textile Manufacturing Plants. Global Journal Of Computer Science And Technology, . doi:10.34257/GJCSTHVOL20IS2PG11
Series/Report no.: Global Journal of Computer Science and Technology;Volume 20 Issue 2 Version 1.0
Abstract: 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.
URI: http://rda.sliit.lk/handle/123456789/2425
ISSN: 0975-4172
Appears in Collections:Research Papers - Dept of Computer Systems Engineering
Research Papers - Open Access Research
Research Papers - SLIIT Staff Publications

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