Difference between revisions of "ANLY482 AY2017-18 T1 Group1"

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<div style="border-style: solid; border-width:0; background: #0000cc; padding: 7px; font-weight: bold; text-align:left; line-height: wrap_content; text-indent: 20px; font-size:20px; font-family:Arial;border-bottom:5px solid white; border-top:5px solid black"><font color= #ffffff>Project Overview</font></div>
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[[File:TeamJYCLogo.png|center]]
  
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<div style="border-style: solid; border-width:0; background: #b3ccff; padding: 7px; font-weight: bold; text-align:left; line-height: wrap_content; text-indent: 20px; font-size:20px; font-family:Trebuchet MS;border-bottom:5px solid white; border-top:5px solid black"><font color= #000000>Project Description</font></div>
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FMCG Company XYZ has been the leading multinational medical device, pharmaceutical and consumer packaged goods manufacturing company globally, and is listed on the Fortune’s 500 in the United States. XYZ incorporates many well-known brands of different product types such as baby oil, skincare products as well as contact lenses. These highly popular consumer products have millions of sales worldwide and have brought in stable revenue and gross profit for XYZ over the years.
  
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Our group seeks to improve the gross profit of these products using data analytics by analyzing the data in its operations, and identifying bottlenecks as well as opportunities to reduce and optimize costs in XYZ's supply chain. For this project, we will be focusing on their popular products, whereby we will examine the supply chain of the manufacturing process, optimizing costs as well as efficiency.
  
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Sponsor Introduction
 
 
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Latest revision as of 19:09, 27 August 2017

Home Team Project Overview Midterm Progress Final Progress Project Management Documentation


TeamJYCLogo.png
Project Description

FMCG Company XYZ has been the leading multinational medical device, pharmaceutical and consumer packaged goods manufacturing company globally, and is listed on the Fortune’s 500 in the United States. XYZ incorporates many well-known brands of different product types such as baby oil, skincare products as well as contact lenses. These highly popular consumer products have millions of sales worldwide and have brought in stable revenue and gross profit for XYZ over the years.

Our group seeks to improve the gross profit of these products using data analytics by analyzing the data in its operations, and identifying bottlenecks as well as opportunities to reduce and optimize costs in XYZ's supply chain. For this project, we will be focusing on their popular products, whereby we will examine the supply chain of the manufacturing process, optimizing costs as well as efficiency.