Real-Time Data Analytics in Internet of Things Systems

Yu, Tianqi; Wang, Xianbin

doi:10.1007/978-981-287-251-7_38

Cited by 6 publications

(1 citation statement)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Over the last decade digitalization has produced larger, more complex data sets, especially for enterprise resource planning (ERP) data sources. This data has been characterized by big amount, variety, and velocity [20]. Under the big data concept, such large data sets cannot be analyzed sufficiently by statistical data processing applications [21].…”

Section: Terminology and Conceptsmentioning

confidence: 99%

Forest Supply Chains during Digitalization: Current Implementations and Prospects in Near Future

Palander,

Borz,

Tokola

et al. 2024

Preprint

View full text Add to dashboard Cite

Purpose of review The forest industry has deployed ICTs to improve productivity of forest supply chains. In this sense, digitalization of data flows significantly impacts wood supply chains, from forest to mills, which must react flexibly to market fluctuations of forest products. The goal of this study was to conduct a literature review on data flow implementations in management systems of wood supply chains and to evaluate their applicability in supply chains to analyze the opportunities for improving them in practice. Recent findings We utilized the ScienceDirect database, Scopus and Web of Science in order to document data flows in systems and actual applications. Due to ongoing outsourcing, the wood procurement chains, and the wood supply chains were identified in the forest industry. Several different technologies can be implemented also in wood supply chains to digitalize the data flow depending on the specific needs of organizations. In this regard, digitalization of Big Data causes significant changes in elements of supply models that should be integrated and standardized in the optimization and simulation systems. Summary A modelling guide is suggested for accurate dynamic solution of problems of forest logistics. Then, the opportunities in digitalization for connecting different data flows, technologies, and stakeholders are discussed thoroughly. We conclude that data-driven dynamic optimization, and locally implemented digitalization contributes to wood supply modeling in the establishment of standards for cloud-based platforms at time-related and sequential measures which will ensure successful forest logistics through the planning and the monitoring of wood supply chains.

show abstract

Section: Terminology and Conceptsmentioning

confidence: 99%