Applications of analytics in supply chain management
With the evolution of digital technology, organizations can easily access and collect different kinds of data to understand their products, services and customers. In today’s business transformation, data analytics have captured the attention of industry players and researchers in many sectors inclu...
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sg-ntu-dr.10356-692562023-03-03T17:03:16Z Applications of analytics in supply chain management Han Thi Htun Teo Chee Chong School of Civil and Environmental Engineering DRNTU::Engineering With the evolution of digital technology, organizations can easily access and collect different kinds of data to understand their products, services and customers. In today’s business transformation, data analytics have captured the attention of industry players and researchers in many sectors including supply chain management due to its valuable insights and competitive advantage. This project intends to explore the types of big data analytics solutions and applications in different supply chain functions with industrial examples. Current state-of-the-art analytics software and applications that implemented in the supply chain industry are researched together with the aim to address the potential future trends of supply chain analytics. In addition, the benefits and challenges of the implementation of supply chain analytics are highlighted in this paper. Bachelor of Science (Maritime Studies) 2016-12-08T02:20:04Z 2016-12-08T02:20:04Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/69256 en Nanyang Technological University 32 p. application/pdf |
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DRNTU::Engineering Han Thi Htun Applications of analytics in supply chain management |
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With the evolution of digital technology, organizations can easily access and collect different kinds of data to understand their products, services and customers. In today’s business transformation, data analytics have captured the attention of industry players and researchers in many sectors including supply chain management due to its valuable insights and competitive advantage. This project intends to explore the types of big data analytics solutions and applications in different supply chain functions with industrial examples. Current state-of-the-art analytics software and applications that implemented in the supply chain industry are researched together with the aim to address the potential future trends of supply chain analytics. In addition, the benefits and challenges of the implementation of supply chain analytics are highlighted in this paper. |
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Teo Chee Chong |
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Teo Chee Chong Han Thi Htun |
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Final Year Project |
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Han Thi Htun |
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Han Thi Htun |
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Applications of analytics in supply chain management |
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Applications of analytics in supply chain management |
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Applications of analytics in supply chain management |
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Applications of analytics in supply chain management |
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Applications of analytics in supply chain management |
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applications of analytics in supply chain management |
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2016 |
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http://hdl.handle.net/10356/69256 |
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