Linking supply chain disruptions and manufacturing firms' operational performance in a developing country context

Moradeyo, Adenike Aderonke; Oke, Adegoke; Muogboh, Obinna

doi:10.1504/ijsom.2023.130178

IJSOM

2023

DOI: 10.1504/ijsom.2023.130178

|View full text |Cite

Linking supply chain disruptions and manufacturing firms' operational performance in a developing country context

Adenike Aderonke Moradeyo¹,

Adegoke Oke²,

Obinna Muogboh³

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Book1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Industry 4.0

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Logistics, Operations, and Management Science

View full text Add to dashboard Cite

The advent of Industry 4.0, characterized by the integration of digital technologies into industrial processes, has ushered in a transformative era for manufacturing and beyond. This chapter delves into the future trends and research directions that will shape the landscape of Industry 4.0 in the coming years. One prominent trend is the continued proliferation of the internet of things (IoT) and its convergence with artificial intelligence (AI). As IoT devices become more interconnected and intelligent, they will enable real-time data analysis, predictive maintenance, and adaptive manufacturing, fostering increased efficiency and cost-effectiveness across industries. Moreover, the rise of edge computing is set to redefine data processing and analytics. The deployment of powerful computing resources closer to the data source promises reduced latency and enhanced decision-making capabilities, particularly critical in applications like autonomous manufacturing and remote robotics.

show abstract

Industry 4.0

Sindiramutty,

Jhanjhi,

Tan

et al. 2024

Advances in Logistics, Operations, and Management Science

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Linking supply chain disruptions and manufacturing firms' operational performance in a developing country context

Cited by 1 publication

References 0 publications

Industry 4.0

Industry 4.0

Contact Info

Product

Resources

About