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A Review of Advances in Supply Chain Intelligence

A Review of Advances in Supply Chain Intelligence
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Author(s): Nenad Stefanovic (University of Kragujevac, Serbia) and Danijela Milosevic (University of Kragujevac, Serbia)
Copyright: 2019
Pages: 14
Source title: Advanced Methodologies and Technologies in Business Operations and Management
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-7362-3.ch091

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Abstract

Supply chain intelligence (SCI) is a relatively new initiative that provides the capability to improve business performance by utilizing sophisticated analytical tools and collaborative decision making. SCI takes a broader, multidimensional view of supply chain in which, using patterns and rules, meaningful information about the data can be discovered. In this chapter, the drivers for the implementation of the business intelligence and performance measurement systems are discussed. Review of the most important literature and research findings provides a condensed view of the existing state of the art. Furthermore, the integrated supply chain intelligence system that enables creation of pervasive analytical systems for collaborative planning, monitoring, and management of the supply network is described. The SCI system is robust and cloud-based, capable of handling big data analytical tasks. Its flexible and multi-layered architecture enables creation of adaptive supply chain intelligence systems by composing various analytical software components, services, and tools.

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