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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Bibliographic Details
Main Author: Han Thi Htun
Other Authors: Teo Chee Chong
Format: Final Year Project (FYP)
Language:English
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10356/69256
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author Han Thi Htun
author2 Teo Chee Chong
author_facet Teo Chee Chong
Han Thi Htun
author_sort Han Thi Htun
collection NTU
description 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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spelling ntu-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
spellingShingle DRNTU::Engineering
Han Thi Htun
Applications of analytics in supply chain management
title Applications of analytics in supply chain management
title_full Applications of analytics in supply chain management
title_fullStr Applications of analytics in supply chain management
title_full_unstemmed Applications of analytics in supply chain management
title_short Applications of analytics in supply chain management
title_sort applications of analytics in supply chain management
topic DRNTU::Engineering
url http://hdl.handle.net/10356/69256
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