2019
DOI: 10.1108/jmtm-08-2018-0280
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Digital supply chain model in Industry 4.0

Abstract: Purpose The purpose of this paper is to present a conceptual model that defines the essential components shaping the new Digital Supply Chains (DSCs) through the implementation and acceleration of Industry 4.0. Design/methodology/approach The scope of the present work exposes a conceptual approach and review of the key literature from 1989 to 2019, concerning the evolution and transformation of the actors and constructs in logistics and Supply Chain Management (SCM) by means of examining different conceptual… Show more

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Cited by 226 publications
(198 citation statements)
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References 178 publications
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“…An adaptation of cloud computing with the use of robots, cloud robotics, are key to the virtual creation and integration of computational and physical processes resulting in the Cyber–Physical–Systems key to the transition to the sustainable digital world [ 54 ]. These systems make it necessary to analyze Cybersecurity risks in a globalized Supply Chain.…”
Section: Resultsmentioning
confidence: 99%
“…An adaptation of cloud computing with the use of robots, cloud robotics, are key to the virtual creation and integration of computational and physical processes resulting in the Cyber–Physical–Systems key to the transition to the sustainable digital world [ 54 ]. These systems make it necessary to analyze Cybersecurity risks in a globalized Supply Chain.…”
Section: Resultsmentioning
confidence: 99%
“…Several studies have attempted to define Industry 4.0 and related terms (e.g., Nosalska et al, In Press;Fatorachian and Kazemi, 2018;Xu, 2018); to clarify single technological paradigms such as the IoT (e.g., Lu et al, 2018b), AMTs (e.g., Gardan, 2016) and the blockchain technology (e.g., Pournader et al, 2020); and to conceptualize specific underlying constructs such as the "smart factory" (e.g., Osterrieder et al, 2020) or the "digital supply chain" (e.g., Schniederjans et al, 2020;Garay-Rondero et al, 2020). Overall, however, there is still no agreed-upon definition either of the phenomenon or of its constituent elements.…”
Section: Industry 40: Concept and Research Issuesmentioning
confidence: 99%
“…However, experts have already mentioned examples of using Artificial Intelligence to solve problems of route optimization, as well as examples of processing Big Data to determine customer needs. All this has been made possible thanks to real-time decision making, given the information gathered in the Cloud computing and Cloud robotics analyzed by the monitor and drives customers' behavior (data trends) for an optimal intelligent demand assessment, as well as effective and efficient input/output processes in logistics [26].…”
Section: Main Findingsmentioning
confidence: 99%