A KNOWLEDGE BASE FOR STRATEGIC LOGISTICS PLANNING

Roman Gumzej (), Tomaz Kramberger () and Davor Dujak ()
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Roman Gumzej: University of Maribor, Slovenia
Tomaz Kramberger: University of Maribor, Slovenia
Davor Dujak: Josip Juraj Strossmayer University of Osijek, Croatia

Business Logistics in Modern Management, 2023, vol. 23, 317-330

Abstract: In the paper, a knowledge-based engineering approach to strategic logistics planning is presented. Semantic web technologies for managing a knowledge base of business experiences are used. The proposed knowledge base comprises experiences gained by the SCOR model of logistics planning, according to the Deming's observe, plan, do, study, act cycle. By appropriate structuring of the knowledge base, easy access to the stored experiences for on-line analytic processing is enabled. By the proposed approach an expert system for smart logistics management is founded.

Keywords: : predictive analytics; applied industrial technology; artificial intelligence; smart business models; big data and sustainability (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:osi:bulimm:v:23:y:2023:p:317-330

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