Abstract
Supply chain disruptions and challenges have and will always exist, but preparing in advance and improving resilience for the upcoming consequences should be the utmost important goal. This paper explores trends that affect innovation in the technological sphere of supply chain systems. More precisely, the research is focused on Digital Twin technology applicability through other logistics IT trends and aims to research the pressing issue of ensuring the visibility and resilience of future supply chain systems. The paper’s objective is to produce a conceptual model enabling the investment assessment of the necessary IT resources. Initially, a theoretical confirmation of logistics IT trends’ relevance to supply chain systems was established. After, propositions of Digital Twin technology applications to other logistics IT trends were made, which were divided into corresponding constant multitudes of supply chain systems. Lastly, the conceptual model for the investment assessment of the necessary IT resources was derived in the form of a matrix. It considers 16 parameters for investment assessment and applicability to all companies, regardless of their specifics. It also supports the notion of digital IT competencies’ fundamental importance to the continuous operation of supply chain systems.
Funder
European Union-Next Generation EU & The Ministry of Education, Science and Sport
Subject
Process Chemistry and Technology,Chemical Engineering (miscellaneous),Bioengineering
Reference156 articles.
1. Grzybowska, K., and Stachowiak, A. (2022). Global Changes and Disruptions in Supply Chains—Preliminary Research to Sustainable Resilience of Supply Chains. Energies, 15.
2. Attinasi, M.G., Balatti, M., Mancini, M., and Metelli, L. (2022). Supply Chain Disruptions and the Effects on the Global Economy. Econ. Bull. Boxes, 8, Available online: https://ideas.repec.org/a/ecb/ecbbox/202200081.html.
3. A Review of Supply Chain Risk Management: Definition, Theory, and Research Agenda;Fan;Int. J. Phys. Distrib. Logist. Manag.,2018
4. Real-Time Data Processing in Supply Chain Management: Revealing the Uncertainty Dilemma;Lechler;Int. J. Phys. Distrib. Logist. Manag.,2019
5. Improving Supply Chain Resilience through Industry 4.0: A Systematic Literature Review under the Impressions of the COVID-19 Pandemic;Spieske;Comput. Ind. Eng.,2021
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