Modelling flexible manufacturing systems through discrete event simulation

dc.contributor.advisorTiwari, Ashutosh
dc.contributor.authorRybicka, Justyna
dc.date.accessioned2019-07-08T09:47:01Z
dc.date.available2019-07-08T09:47:01Z
dc.date.issued2017-04
dc.description.abstractAs customisation and product diversification are becoming standard, industry is looking for strategies to become more adaptable in responding to customer’s needs. Flexible manufacturing systems (FMS) provide a unique capability where there is a need to provide efficiency through production flexibility. Full potential of FMS development is difficult to achieve due to the variability of components within this complex manufacturing system. It has been recognised that there is a requirement for decision support tools to address different aspects of FMS development. Discrete event simulation (DES) is the most common tool used in manufacturing sector for solving complex problems. Through systematic literature review, the need for a conceptual framework for decision support in FMS using DES has been identified. Within this thesis, the conceptual framework (CF) for decision support for FMS using DES has been proposed. The CF is designed based on decision-making areas identified for FMS development in literature and through industry stakeholder feedback: set-up, flexibility and schedule configuration. The CF has been validated through four industrial simulation case studies developed as a part of implementation of a new FMS plant in automotive sector. The research focuses on: (1) a method for primary data collection for simulation validated through a case study of material handling robot behaviour in FMS; (2) an approach for evaluation of optimal production set-up for industrial FMS with DES; (3) a DES based approach for testing FMS flexibility levels; (4) an approach for testing scheduling in FMS with the use of DES. The study has supported the development of systematic approach for decision making in FMS development using DES. The approach provided tools for evidence based decision making in FMS.en_UK
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/14307
dc.language.isoenen_UK
dc.rights© Cranfield University, 2015. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.
dc.subjectFlexible manufacturing systemsen_UK
dc.subjectdecision supporten_UK
dc.subjectsimulationen_UK
dc.titleModelling flexible manufacturing systems through discrete event simulationen_UK
dc.typeThesisen_UK

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