Data-Driven Supply Chains and Intro to Python
Kurt Y. Liu ()
Additional contact information
Kurt Y. Liu: University of Glasgow
Chapter 2 in Supply Chain Analytics, 2022, pp 21-43 from Springer
Abstract:
Abstract In this chapter, first we introduce the importance of data in supply chain management and various data sources and Information Systems (IS) in supply chains. We also discuss the concept of big data and related examples of supply chain analytics. In the second part of this chapter, we start to introduce Python, its installation, and essential Python libraries.
Keywords: Data; Big data; IoT; Industry 4.0; Blockchain; Python (search for similar items in EconPapers)
Date: 2022
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-92224-5_2
Ordering information: This item can be ordered from
http://www.springer.com/9783030922245
DOI: 10.1007/978-3-030-92224-5_2
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().