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IoT-based dairy supply chain: An ontological approach
Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
DAC SA, ul., POL.
Warsaw University of Life Sciences, POL.
Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.
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2021 (English)In: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 27, no 1, p. 71-83Article in journal (Refereed) Published
Abstract [en]

Emerging digital transformation in industry is noticeable among others in Supply Chain Management (SCM). For instance, applying new-generation digitalized technologies in the Dairy Supply Chain (DSC) enables an increase of manufacturing productivity, improves planning and forecasting, and also enhances competitive capabilities according to Industry 4.0 assumptions. It is worth mentioning, that in modern DSC, high visibility of raw materials, components, products, and processes by all contributors on all stages of DSC is crucial. This article focuses on the transparency aspect of the DSC supported by IoT-based technologies enabling interoperability among all DSC participants. The paper addresses the problem of effective integration of heterogeneous data sources, i.e., deployed new technological IoT solutions with traditional SCM systems and a third-party software component. The main objective of this report is to propose the IoT-based DSC model comprising four chain stages: milk production, milk transportation, milk processing, and dairy products distribution. Moreover, the comprehensive DSC domain ontology as a knowledge model is formulated and described. The ontology aims on improvement of the DSC management efficiency by facilitating interoperability within DSC. The applicability of the proposed ontological model is verified using a sustainable-oriented case study, which estimates the environmental footprint at the milk transportation stage of the DSC. © 2021 Kauno Technologijos Universitetas. All rights reserved.

Place, publisher, year, edition, pages
Kauno Technologijos Universitetas , 2021. Vol. 27, no 1, p. 71-83
Keywords [en]
Dairy value chain, Knowledge model, Semantic web, Supply chain management, Supply chain modelling, Visibility
National Category
Business Administration Production Engineering, Human Work Science and Ergonomics Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:bth-21231DOI: 10.5755/j02.eie.27612ISI: 000621642600008Scopus ID: 2-s2.0-85101624827OAI: oai:DiVA.org:bth-21231DiVA, id: diva2:1536784
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open access

Electronic Components and Systems for European Leadership 783221

Available from: 2021-03-12 Created: 2021-03-12 Last updated: 2022-05-25Bibliographically approved

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fulltext(1639 kB)258 downloads
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Jachimzcyk, BartoszJohansson, SvenKulesza, Wlodek

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