Knowledge-Based Engineering in Strategic Logistics Planning

Roman Gumzej (), Tomaž Kramberger, Kristijan Brglez and Rebeka Kovačič Lukman
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Roman Gumzej: Faculty of Logistics, University of Maribor, Mariborska Cesta 7, SI-3000 Celje, Slovenia
Tomaž Kramberger: Faculty of Logistics, University of Maribor, Mariborska Cesta 7, SI-3000 Celje, Slovenia
Kristijan Brglez: Faculty of Natural Sciences and Mathematics, University of Maribor, Koroška Cesta 160, SI-2000 Maribor, Slovenia
Rebeka Kovačič Lukman: Faculty of Logistics, University of Maribor, Mariborska Cesta 7, SI-3000 Celje, Slovenia

Sustainability, 2025, vol. 17, issue 15, 1-16

Abstract: Strategic logistics planning is used by management to define action plans that will enable organizations to always make decisions that are in the organization’s best interests. They are based on a knowledge repository of business experiences, which is usually represented by a centralized, organized, and searchable digital system where organizations store and manage critical institutional knowledge. Thus, an institutional knowledge base provides sustainability, making the experiences readily available while keeping them well organized. In this research, the experiences of logistics experts from selected scholarly designs for six-sigma business improvement projects have been collected, classified, and organized to form a logistics knowledge management system. Although originally meant to facilitate current and future decisions in strategic logistics planning of the cooperating companies, it is also used in logistics education to introduce knowledge-based engineering principles to enterprise strategic planning, based on continuous improvement of quality-related product or process performance indicators. The main goal of this article is to highlight the benefits of knowledge-based engineering over the established ontological logistics knowledge base in smart production, based on the predisposition that ontological institutional knowledge base management is more efficient, adaptable, and sustainable.

Keywords: logistics; knowledge-based engineering; ontology; sustainable (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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