Analysis of Distributed Ledger Technologies for Industrial Manufacturing
Lam Duc Nguyen, Arne Broering, Massimo Pizzol, Petar Popovski

TL;DR
This paper explores how Distributed Ledger Technologies can be integrated into industrial manufacturing to enable flexible, decentralized, and efficient manufacturing-as-a-service models, focusing on communication and computation efficiency in IoT networks.
Contribution
It proposes a general framework for adapting DLT in manufacturing and evaluates selected DLTs for shared manufacturing in resource-constrained IoT environments.
Findings
DLT can support decentralized trust in manufacturing.
Communication efficiency varies among different DLTs in IoT networks.
The framework facilitates integration of DLT into industrial processes.
Abstract
In recent years, industrial manufacturing has undergone massive technological changes that embrace digitalization and automation towards the vision of intelligent manufacturing plants. With the aim of maximizing efficiency and profitability in production, an important goal is to enable flexible manufacturing, both, for the customer (desiring more individualized products) and for the manufacturer (to adjust to market demands). Manufacturing-as-a-service can support this through manufacturing plants that are used by different tenants who utilize the machines in the plant, which are offered by different providers. To enable such pay-per-use business models, Distributed Ledger Technology (DLT) is a viable option to establish decentralized trust and traceability. Thus, in this paper, we study potential DLT technologies for an efficient and intelligent integration of DLT-based solutions in…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · Collaboration in agile enterprises · IoT and Edge/Fog Computing
