Agent base simulation Fashion retail chain

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dc.contributor.authorSaeed, Azam
dc.date.accessioned2018-03-01T06:01:35Z
dc.date.available2018-03-01T06:01:35Z
dc.date.issued2016
dc.descriptionSupervised by: Dr. Ahmed F. Siddiqien_US
dc.description.abstractThis research develops a multi-agent simulation model for fashion retail supply chain. Intelligent agents are designed using SQL to performed key roles of supply chain management for fashion retail. Baseline model is validated and proposed model is designed using pooled inventory warehouse to make supply chain more responsive. Results shows that pooled inventory having a positive impact on customer services level, merchandise performance and mark-downs percentage is also reduced. Supply chain physical cost can also reduce by using deploying intelligent agents in real life and performance of these agent can improve by analyzing of simulation results and gaps analysisen_US
dc.identifier.urihttps://escholar.umt.edu.pk/handle/123456789/2800
dc.language.isoenen_US
dc.publisherUniversity of Management and Technologen_US
dc.subjectIntelligent agentsen_US
dc.subjectMark-downs percentageen_US
dc.subjectMS thesisen_US
dc.titleAgent base simulation Fashion retail chainen_US
dc.typeThesisen_US
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