Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11487
Title: Developing adaptive business intelligence systems for agile supply chain analytics
Authors: Stefanovic, Nenad
Milošević D.
Issue Date: 2017
Abstract: © 2017 Association for Computing Machinery. Agile supply chain analytics is about ability to adapt business intelligence (BI) systems to meet the changing needs of the supply network and its environment. Agile BI incorporates both technical and process-oriented approach to development, management, and delivery of BI solutions. To achieve agile BI, supply chains must provide and establish the necessary infrastructure, architecture, tools and processes in a way that enables them to deliver BI systems capable of quickly and effectively adapting to the rapidly changing business needs and environment factors. However, most supply chains still lack methods, processes and tools to successfully design and implement these systems. The paper first provides an analysis of current situation and a concise background research, followed by the introduction of the integrated and adaptive supply chain business intelligence model. This model enables design of pervasive analytical systems for collaborative decision-making, monitoring and management of the supply network. The main components of the model are described, as well as the architecture and features of the specialized supply chain intelligence web portal which demonstrates usefulness and applicability of the proposed model. This system allows creation of a new breed of flexible and agile BI systems which ultimately results in more efficient, responsive and adaptive supply chains.
URI: https://scidar.kg.ac.rs/handle/123456789/11487
Type: conferenceObject
DOI: 10.1145/3108421.3108441
SCOPUS: 2-s2.0-85028758765
Appears in Collections:Faculty of Science, Kragujevac

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