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Title: Agent base simulation Fashion retail chain
Authors: Saeed, Azam
Keywords: Intelligent agents
Mark-downs percentage
MS thesis
Issue Date: 2016
Publisher: University of Management and Technolog
Abstract: This 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 analysis
Description: Supervised by: Dr. Ahmed F. Siddiqi
Appears in Collections:Department of Quantitative Methods

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