The architectural framework of a cyber physical logistics system for digital-twin-based supply chain control

Park, Kyu Tae; Son, Yoo Ho; Noh, Sang Do

doi:10.1080/00207543.2020.1788738

Cited by 111 publications

(59 citation statements)

References 50 publications

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“…Evidence has shown that this can only be achieved by drawing on capabilities related to e.g. agility, customisation, visibility, and transparency (Zhong et al 2017;Aslam et al 2018;Blome, Schoenherr, and Rexhausen 2013), which becomes even more challenging when producing small quantities of diverse products (Park, Son, and Noh 2020). To maintain competitive advantage and improve financial performance, firms need to continuously align their entire supply chain processes with the dynamics of their environment, as was aptly demonstrated by the current COVID-19 pandemic (Ivanov 2020).…”

Section: Introductionmentioning

confidence: 99%

Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies

Eslami

Jafari

Achtenhagen

et al. 2021

International Journal of Production Research

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Industry 4.0 digital technologies are becoming indispensable for firms striving to enhance their supply chain capabilities and financial performance, but how these relationships play out in practice remains unclear. To address this issue, this study assesses the relationship between supply chain integration, supply chain agility, and financial performance from a dynamic capability perspective. Further analyses are conducted to establish whether Industry 4.0 digital technologies moderate the association between (a) supply chain integration and supply chain agility and (b) supply chain agility and financial performance. Findings based on the data pertaining to a sample of 274 Swedish manufacturing firms indicate that supply chain agility fully mediates the link between supply chain integration and financial performance. However, while Industry 4.0 digital technologies strengthen the effect of supply chain agility on financial performance, they do not moderate the relationship between supply chain integration and supply chain agility. These findings contribute to the ongoing debate regarding how digital technologies play a role in achieving competitive advantage in interplay with dynamic capabilities related to the supply chain. These findings are relevant for decision-makers, as they address the need for organisational adjustments beyond the mere introduction of Industry 4.0 technologies to fully reap their benefits.

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Section: Introductionmentioning

confidence: 99%

Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies

Eslami

Jafari

Achtenhagen

et al. 2021

International Journal of Production Research

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“…The second operational area of the implemented framework is the research and development of state-of-the-art digitalization technologies, based on this initial work by the following: Extending the framework with other, more complex machine systems (e.g., hydraulic presses, ovens); Extending the framework with more complex machine systems by developing predicting algorithms including thermo-mechanical properties of materials; Using this algorithms for the transformation of existing machine systems to Cyber Physical Production Systems (CPPS) based on the brownfield approach [ 82 , 83 ]; Integrating further open-source-based logic between these CPPS, resulting in a superordinate Cyber Physical Logistic System [ 84 , 85 , 86 ]. …”

Section: Resultsmentioning

confidence: 99%

“…Integrating further open-source-based logic between these CPPS, resulting in a superordinate Cyber Physical Logistic System [ 84 , 85 , 86 ].…”

Section: Resultsmentioning

confidence: 99%

Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Ralph

Sorger

Schödinger

et al. 2021

Sensors

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Smart factories are an integral element of the manufacturing infrastructure in the context of the fourth industrial revolution. Nevertheless, there is frequently a deficiency of adequate training facilities for future engineering experts in the academic environment. For this reason, this paper describes the development and implementation of two different layer architectures for the metal processing environment. The first architecture is based on low-cost but resilient devices, allowing interested parties to work with mostly open-source interfaces and standard back-end programming environments. Additionally, one proprietary and two open-source graphical user interfaces (GUIs) were developed. Those interfaces can be adapted front-end as well as back-end, ensuring a holistic comprehension of their capabilities and limits. As a result, a six-layer architecture, from digitization to an interactive project management tool, was designed and implemented in the practical workflow at the academic institution. To take the complexity of thermo-mechanical processing in the metal processing field into account, an alternative layer, connected with the thermo-mechanical treatment simulator Gleeble 3800, was designed. This framework is capable of transferring sensor data with high frequency, enabling data collection for the numerical simulation of complex material behavior under high temperature processing. Finally, the possibility of connecting both systems by using open-source software packages is demonstrated.

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“…For example, a full Digital Twins might simulate the reorganization of logistical flows [81]. This would not only help calculate the future benefit achieved from introducing a different series of logistical flows, but it would also help predict vulnerabilities that would otherwise go unnoticed [82]. However, since a completely integrated Digital Twins is a long-term approach that does not happen immediately, it will be a long time before a company can use it as a modelling tool.…”

Section: Visibility For Coordinating and The Digital Twinsmentioning

confidence: 99%

Digital Twins Driven Supply Chain Visibility within Logistics: A New Paradigm for Future Logistics

Moshood

Nawanir

Sorooshian

et al. 2021

ASI

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The supply chains shaping their distribution networks become more diverse as companies respond to global markets’ stringent criteria. This is also counterproductive to the visibility of the supply chain within the company and can adversely affect the organization’s core business. This paper attempts to evaluate how organizations can benefit from introducing Digital Twins to enhance their logistics supply network visibility. Additionally, deployment issues and technologies supporting Digital Twins were reviewed. This study used ATLAS.ti 9 software tools to save, classify, and evaluate the data for this analysis to systematically review the literature. We reviewed, compiled, and sorted papers from 227 publications for this article and then recognized 104 as critical to the work scope; this analysis’ quest date was set from 2002 to 2021. This article represents the first attempt at dealing with the issue of supply chain visibility through the Digital Twins in the logistics field. The research outcomes found that Digital Twins would help companies develop predictive metrics, diagnostics, projections, and physical asset descriptions for their logistics. This study also suggested some steps to overcome the challenges in implementing a Digital Twins in the logistics industry. For researchers, this review offers the possibility to unify and expand existing solutions and to identify links and interfaces that are still needed. As for managerial implications, this study can be used to identify future strategies and technologies to fulfil certain logistics tasks and develop new technological solutions for current and future demands.

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The architectural framework of a cyber physical logistics system for digital-twin-based supply chain control

Cited by 111 publications

References 50 publications

Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies

Financial performance and supply chain dynamic capabilities: the Moderating Role of Industry 4.0 technologies

Implementation of a Six-Layer Smart Factory Architecture with Special Focus on Transdisciplinary Engineering Education

Digital Twins Driven Supply Chain Visibility within Logistics: A New Paradigm for Future Logistics

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