Enhance Supply Chain Resilience through Industry 4.0 - A view of designing simulation scenarios

Xu, Lai; Vrieze, Paul de; Arshad, Rushan; Oyekola, Oyepeju

doi:10.1109/icebe55470.2022.00042

Cited by 3 publications

(5 citation statements)

References 19 publications

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“…The challenges associated with the infrastructure of the replacement battery stations and the EVs are categorized into three main areas: safety, operational, and connectivity issues. These challenges are identified and analysed to get a thorough understanding of the obstacles that need to be overcome for the successful implementation of battery swapping networks [21].…”

Section: Methodsmentioning

confidence: 99%

Impact of Industry (4.O) in Automobile Industry

Monye,

Afolalu,

Lawal

et al. 2023

E3S Web Conf.

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The emergence of Industry 4.0, characterized by the fusion of cutting-edge technology and digitization, has significantly altered the automotive industry. Automation, data interchange, and digital technology are combined in Industry 4.0 to produce a more productive and adaptable production environment. This technological advancement is not without its difficulties, such as a call for improvement on cybersecurity to prevent online attacks, up skilling and reskilling of industry employees to ensure high level of competencies, to mention a few. The auto industry is moving toward a new paradigm of connected vehicles and intelligent mobility options outside of the production environment thanks to Industry 4.0. With the integration of (IoT) the Internet of Things, cars have become sophisticated devices that can gather, process, and communicate enormous amounts of data. Sensors placed throughout the vehicle provide real-time monitoring of performance, external conditions, and driver behaviour. This increases safety protections, maximizes fuel efficiency, and paves the road for preventative maintenance. This study aims at developing a workforce framework that will help increase organizational effectiveness within the industry 4.0 paradigm. It also provides recent views on the development of the automobile industry due to Industry 4.0 incorporation, the perceived and current difficulties and possible solutions to identified challenges.

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Section: Methodsmentioning

confidence: 99%

Impact of Industry (4.O) in Automobile Industry

Monye,

Afolalu,

Lawal

et al. 2023

E3S Web Conf.

View full text Add to dashboard Cite

show abstract

“…Machine learning facilitates the identification of patterns and trends, aiding in risk assessment and decision-making (Akindote et al, 2023;Wieland & Durach, 2021). Data visualization provides insights into supply chain operations, enabling informed strategies for resilience (Xu et al, 2022). Existing studies have highlighted the significance of collaboration in building a resilient supply chain, emphasizing it as the "glue" that holds supply chain organizations together during crises (Lukong et al, 2022;Scholten & Schilder, 2015).…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

“…Furthermore, the literature underscores the importance of dynamic capabilities, such as sensing, seizing, and reconfiguring capabilities, in enhancing supply chain flexibility and resilience (Balogun et al, 2024;Pu et al, 2023). Additionally, research has emphasized the need for advanced analytics in risk identification, response planning, and recovery strategies to bolster supply chain resilience (Wieland & Durach, 2021;Xu et al, 2022).…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

Advanced Analytics in Supply Chain Resilience: A Comparative Review of African and Usa Practices

Rhoda Adura Adeleye,

Oluwaseun Peter Oyeyemi,

Onyeka Franca Asuzu

et al. 2024

Int. j. manag. entrep. res

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This paper explores the application of advanced analytics in enhancing supply chain resilience, offering a comparative review between African and USA practices. Supply chain resilience has become a critical factor in the global business landscape, particularly in the face of unprecedented disruptions and uncertainties. As organizations strive to mitigate risks and improve responsiveness, advanced analytics emerges as a powerful tool in achieving these objectives. The study begins by providing a comprehensive overview of the key components of supply chain resilience and the role advanced analytics plays in fortifying these components. It delves into various analytical techniques, such as predictive modeling, machine learning, and data visualization, and their application in predicting and mitigating disruptions. By harnessing the power of big data, organizations can gain insights into demand patterns, supply chain vulnerabilities, and potential risks, enabling proactive decision-making. A comparative analysis is conducted between African and USA supply chain practices, recognizing the unique challenges and opportunities each region presents. Africa, with its diverse economies and infrastructural constraints, faces distinct challenges in achieving supply chain resilience. The study investigates how African organizations leverage advanced analytics to overcome these challenges and identifies best practices. Similarly, the analysis explores how USA practices utilize advanced analytics to bolster supply chain resilience, drawing parallels and distinctions with the African context. The paper also discusses the implications of these findings for policymakers, businesses, and academia. Understanding the effectiveness of advanced analytics in different supply chain contexts can inform the development of tailored strategies for enhancing resilience. The study contributes to the existing body of knowledge by shedding light on the state of advanced analytics adoption in the supply chain domain in these regions and by providing insights that can guide future research and practical implementations. This paper provides a glimpse into the dynamic landscape of supply chain resilience, showcasing the pivotal role advanced analytics plays in fortifying global supply chains. The comparative review of African and USA practices offers a nuanced understanding of the challenges and opportunities these regions face, contributing valuable insights for practitioners and researchers alike. Keywords: Analytics, Supply Chain, USA, Africa, Review.

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“…Integrating dynamic capabilities and a relational perspective through IT can enrich and develop the antecedents and outcomes of supply chain resilience, providing theoretical guidance for enterprises to recover from disruption shocks and enhance operational performance (Pu et al, 2023). Furthermore, the integration of Industry 4.0 technologies has been identified as a means to enhance supply chain resilience through the design of simulation scenarios, thereby validating the potential of IT in bolstering resilience (Xu et al, 2022). The purpose of the global review is to provide a comprehensive understanding of the dimensions and outcomes of supply chain resilience, particularly in the context of dynamic capabilities, relational perspectives, and Industry 4.0 integration.…”

Section: Introductionmentioning

confidence: 99%

“…This review aims to shed light on the significance of IT in fortifying supply chain resilience and its implications for operational performance and disruption mitigation. Additionally, it seeks to explore the role of IT in designing simulation scenarios to enhance supply chain resilience under uncertainty, emphasizing the need for IT-driven strategies to navigate disruptions and uncertainties in global supply chains (Pu et al, 2023;Xu et al, 2022). In conclusion, the integration of IT in supply chain management is instrumental in bolstering supply chain resilience, as evidenced by its impact on firm financial performance, customer value, and the design of simulation scenarios.…”

Section: Introductionmentioning

confidence: 99%

The Role of It in Enhancing Supply Chain Resilience: A Global Review

Akoh Atadoga,

Femi Osasona,

Olukunle Oladipupo Amoo

et al. 2024

Int. j. manag. entrep. res

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In today's dynamic and interconnected global business environment, supply chain resilience has emerged as a critical factor for organizations seeking to navigate uncertainties and disruptions. This review explores the pivotal role of Information Technology (IT) in bolstering supply chain resilience on a global scale. As supply chains become increasingly complex and vulnerable to various risks, including natural disasters, geopolitical tensions, and pandemics, leveraging IT capabilities becomes imperative for organizations aiming to build and sustain resilience. The review encompasses an in-depth analysis of how IT tools and systems contribute to enhancing supply chain resilience across diverse industries and geographical regions. The integration of advanced technologies such as Artificial Intelligence (AI), Internet of Things (IoT), and blockchain is examined, shedding light on their transformative impact on supply chain management. These technologies enable real-time visibility, predictive analytics, and secure information sharing, empowering organizations to proactively identify risks and respond swiftly to disruptions. Furthermore, the review delves into the significance of digital platforms and cloud-based solutions in fostering collaboration and agility within supply chains. The ability to access and share critical information seamlessly among supply chain partners facilitates quick decision-making and adaptive responses to unforeseen challenges. Case studies from various global contexts provide insights into successful IT implementations that have significantly improved supply chain resilience, showcasing best practices and lessons learned. This global review underscores the indispensable role of IT in fortifying supply chain resilience. As organizations continue to grapple with an ever-evolving landscape of uncertainties, leveraging cutting-edge IT solutions emerges as a strategic imperative for building robust, adaptable, and responsive supply chains that can withstand and recover from disruptions effectively. Keywords: IT, Supply Chain, Resilience, Review, Technology.

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Enhance Supply Chain Resilience through Industry 4.0 - A view of designing simulation scenarios

Cited by 3 publications

References 19 publications

Impact of Industry (4.O) in Automobile Industry

Impact of Industry (4.O) in Automobile Industry

Advanced Analytics in Supply Chain Resilience: A Comparative Review of African and Usa Practices

The Role of It in Enhancing Supply Chain Resilience: A Global Review

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