| Title: | Knowledge-based engineering in strategic logistics planning |
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| Authors: | ID Gumzej, Roman (Author)
ID Kramberger, Tomaž (Author)
ID Brglez, Kristijan (Author)
ID Kovačič Lukman, Rebeka (Author) |
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| Files: |  RAZ_Gumzej_Roman_2025.pdf (787,46 KB)
MD5: E4D638B54EFB80EDF1D17928C890E622
 https://doi.org/10.3390/su17156820
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| Language: | English |
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| Work type: | Article |
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| Typology: | 1.01 - Original Scientific Article |
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| Organization: | FL - Faculty of Logistic
FNM - Faculty of Natural Sciences and Mathematics
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| 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. |
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| Keywords: | logistics, knowledge-based engineering, ontology, sustainable |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Submitted for review: | 17.06.2025 |
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| Article acceptance date: | 25.07.2025 |
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| Publication date: | 27.07.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 1-16 |
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| Numbering: | Letn. 17, št. 15, št. članka 6820 |
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| PID: | 20.500.12556/DKUM-99632  |
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| UDC: | 502.131.1:656 |
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| ISSN on article: | 2071-1050 |
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| COBISS.SI-ID: | 244536067 |
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| Publication date in DKUM: | 21.08.2026 |
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| Views: | 235 |
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| Downloads: | 1 |
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| Metadata: |    |
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| Categories: | Misc.
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