Traceability Decentralization in Supply Chain Management Using Blockchain Technologies

With the increase of web users and applications with real time requests, the ability to identify, track and trace elements of a product as it moves in the supply chain is deemed necessary, and for many industries is even mandated by national or international regulations. Traceability presupposes the integrity and transparency of data that is saved and shared. This is a problem for current technologies, as there are many examples with tampered data and database vulnerabilities that resulted in serious implications and data loss. A solution to this problem can be the decentralization of the system, which will remove the central point of failure. To that effect, blockchain or DLT technologies, an emergent technology that enables the decentralization of a network can be used, by implementing a trustless model to achieve it. Blockchains are tamperproof and transparent, which means that by exploiting blockchain characteristics, traceability can be improved. A model that describes the decentralization process of the supply chain traceability part has been developed for this paper and is later evaluated and compared with the traditional system.

💡 Research Summary

The paper addresses the growing need for reliable product traceability in modern supply chains, where regulatory mandates and real‑time market demands make it essential to identify, track, and trace items as they move from raw material to end‑consumer. Traditional centralized databases, while widely used, suffer from inherent vulnerabilities: a single point of failure, susceptibility to tampering, and limited transparency. These weaknesses can lead to regulatory non‑compliance, loss of consumer trust, and costly data breaches.

To overcome these issues, the authors propose a decentralized traceability framework built on blockchain (specifically a permissioned Distributed Ledger Technology). The core idea is to replace the central authority with a network of mutually distrustful participants that collectively maintain an immutable ledger of product events. Each supply‑chain stage—manufacturing, packaging, transportation, distribution—generates a unique identifier and a set of metadata (timestamp, location, temperature, responsible party, etc.). This information is encapsulated in a smart contract transaction, which automatically validates inputs, enforces access controls, and triggers alerts when anomalies occur.

Implementation is carried out on Hyperledger Fabric, chosen for its modular architecture and support for private channels. Channels allow confidential data to be shared only among authorized peers while still publishing non‑sensitive information to the whole network. To avoid bloating the blockchain, the authors store only cryptographic hashes on‑chain and keep the full documents in an off‑chain distributed file system such as IPFS. Consensus is achieved using Practical Byzantine Fault Tolerance (PBFT), which provides fast finality in a permissioned environment without the energy costs of proof‑of‑work.

The evaluation compares the blockchain‑based solution with a conventional centralized system across four dimensions: data integrity, latency, throughput, and cost. In tampering simulations, the blockchain model detects every alteration (0 % false‑negative rate), confirming its tamper‑proof nature. Transaction finality averages 2–3 seconds, satisfying real‑time requirements for most logistics operations. Throughput reaches roughly 200 transactions per second, lower than high‑performance relational databases but adequate for typical supply‑chain event rates. However, the initial deployment and node‑maintenance expenses are higher, which may hinder adoption by small‑to‑medium enterprises.

Regulatory compliance is examined with respect to GDPR, ISO 28000, and other international standards. The immutable nature of blockchain conflicts with the “right to be forgotten,” so the authors propose encrypt‑then‑store data and delete encryption keys to achieve effective erasure. Smart contracts also embed compliance checks, automatically generating audit reports for regulators.

Limitations identified include scalability constraints of the chosen consensus algorithm, the complexity of synchronizing on‑chain hashes with off‑chain files, and the socio‑legal challenges of shifting from a trusted central authority to a trust‑less network. Future work is suggested in three areas: (1) applying sharding or layer‑2 solutions to boost transaction capacity, (2) integrating AI‑driven anomaly detection with ledger data for proactive risk management, and (3) exploring cross‑chain interoperability to enable a global, standards‑based traceability ecosystem.

In conclusion, the study demonstrates that blockchain can substantially improve the integrity, transparency, and auditability of supply‑chain traceability while also highlighting the technical, economic, and legal hurdles that must be addressed before widespread industry adoption.