Final-term project

1. 組員：謝銘峰、熊展軒、賴建中、
張碩文、趙柏儒、鍾明諺、
Pallet.network
High Throughput Low Latency
Multi-layer Blockchain for
Supply Chains
Blockchain Introduction Final-term project Team 9

2. Introduction
Pallet.network is a unique system
enabling providers in the supply chain
industry:
• Transparency
• Permission
• Privacy

3. Challenges
1. Data fragmented
Low interoperability of data exist across the supply chain is a
crucial technical challenge for various IT providers that need
to be establish full supply chain transparency.
2. Supply chain data is centralized
It is aggregated by one or several entities prompting concerns
about data integrity and omitting accountability. Centralized
administration also allows for the possibility of data tampering
and collusion between parties.

4. Fragmentation of data siloes

5. Train support data types
1. Master Data:
Data shared by one partner to many partners, it provides
descriptive attributes of real-world entities identified by GS1
Identification Keys, including trade items, parties and physical
locations.
2. Transaction Data:
Transactions triggering or confirming the execution of a
function within each of the business process as defined by an
explicit business agreement or an implicit one.
3. Visibility Data:
Details about physical or digital activity in the supply chain of
products and other assets, identified by keys, detailing where
these objects are in time, and why; not just within one
organization’s four walls, but across organizations.

6. EPCIS
Framework
It’s GS1 standard for
global trading partners
to share information
designed to be:
• Layered
• Extensible
• Modular

7. Solution
Compliance Recall . . .
Pallet.network
Decentralized
Network
Certification Alert systems Origin of Products
Blockchian layer
PDN Network layer
Application layer

8. Interoperability and data integrity
Pallet.network Decentralized Network
Blockchain Layer
Stakeholders:
ID: 0x52b654bEC46E61055358Df1bE1A6A7f9113f5b52
To: 0x0A98fB70939162725aE66E626Fe4b52cFF62c2e5
Shipped product:
Codetype: EAN13
Code: 3831051012345
Trade items:
(02) 0 8360413 81943567
(02) 0 8360413 81742214
(02) 0 8360417 38310516
Quantity (mass):
1240kg
2240kg
3202kg
Expiry date:
2017-12-10
Estimated arrival date:
2017-09-14
Stakeholders:
ID: 0x0A98fB70939162725aE66E626Fe4b52cFF62c2e5
From: 0x52b654bEC46E61055358Df1bE1A6A7f9113f5b52
Received product:
Codetype: EAN13
Code: 3831051012345
Trade items:
(02) 0 8360413 81943567
(02) 0 8360413 81742214
(02) 0 8360417 38310516
Quantity (mass):
1240kg
2240kg
3202kg
Expiry date:
2017-12-10
Receiving date:
2017-09-14
Data set from Stakeholder 1
Data set from Stakeholder 2

9. 3 steps consensus check:
1. Creating a chain of accountability by mutual
approval of supply chain stakeholders
2. Matching of dynamic batch information is
verified. Sensitive data is protected by a zk-
SNARKs implementation
3. Auditing and compliance organizations confirm
the provided data by stakeholders

10. Data nodes Supply chain
Processor ERP
Distributor ERP
Retailer ERP
Blockchain layer
Train Decentralized Network Decentralized
applications
Certification
Alert systems
Origin of Products
Compliance
Recall
. . .
The network distinguishes
between two types of
nodes in regards to their
interaction with supply
chain data:
1. Data creator
2. Data holder
Including such as batch
IDs, timestamps, industry
specific information,
unique product packing
identifiers, sensory
information etc.

11. Network of nodes
Data providers use tokens to
write data on the OriginTrail
decentralised Network
Data consumers
use tokens to read
data
Trace token economics
Factory
Primary
producer
Origin of
products
Compliance
Retailer Alert systems
Train nodes are incentivize
for performing:
•Discover & connect
functionalities
•Supply chain consensus
checks
•Data quality checks
•Data replication checks
•Data storage &
management
•Filtering & delivering
supply chain data
An ERC20 compatible token on Ethereum

12. Reference
[1] GS1. (2016). EPCIS and Core Business Vocabulary. Retrieved June
10, 2019, from https://www.gs1.org/standards/epics.
[2] Z.cash. (2016). What are zk-SNARKs. Retrieved July 8, 2018, from
https://z.cash/technology/zksnarks.html
[3] Benet, J., & Greco, N. (2018). Filecoin: A decentralized storage
network. Protoc. Labs.