Client: Jabil
Product traceability in manufacturing
Case study details
Jabil’s services include design engineering, manufacturing, supply chain services for the EMS and consumer industries; and materials technology services (plastics, metals, automation, and tooling).
The portfolio of its clients consists of the reps of numerous industries, including healthcare, life sciences, clean technology, instrumentation, defense, aerospace, automotive, computing, storage, consumer products, networking, and telecommunications.
Jabil, one of the leading electronic manufacturers faced a problem with Product Traceability and legacy system performance.
Company needed to build a solution that will track every part of the product throughout the manufacturing process, from the moment when raw materials enter the factory to the moment when final products are shipped.
Data Lake was implemented to store and ingest big amounts of data and cost-effectively store this data – as flat files. Data Processing engine was deployed to process stored data and prepare it for future fast reporting. Data quality was also validated within data processing.
Reporting layer was built to support fast and standard reporting of product traceability in manufacturing. Ad-hoc reporting tool was implemented to enable end-users to query fast bug amounts of data and find dependencies between products, their parts, suppliers, and customers.
- Data Lake System based on AWS
Implementing a data-oriented platform able to improve product traceability in manufacturing, increase its efficiency, and speed up the processes.
Addepto helped Jabil build a complex Data Lake system based on AWS for product traceability. Addepto’s Data Architects, alongside Data Engineers, have designed and implemented an end-to-end scalable system for fast analytical reporting and data storage to give end-users the possibility to query bugs and set dependencies between different product batches.
- Automated data ingestion with triggering functions
- Data validation and old data removal feature
- Data dispatcher and automated report generation
- DataOps pipelines
Company Struggles with Product Traceability and Legacy System Performance
Traceability is typically considered crucial only for sectors such as food, automobiles, or aircraft, where products might be recalled very easily. With time, it became clear that every manufacturing industry should have implemented Product Traceability processes in order to increase the quality of end products.
With intelligent product traceability modules, every failure of the production chain can be easily detected and so quickly withdraw faulted batches of products. That is exactly the whole point of a traceability system: connecting the physical flow of goods with the flow of information and ensuring complete documentation of all stages of the supply chain and production. All quality-relevant data of all production steps are traceably determined and stored by the traceability system.
These systems prevent errors in production, increase product and process quality, and efficiency and reduce costs.
Jabil, one of the leading electronic manufacturers faced a problem with Product Traceability and legacy system performance. Company needed to build a solution that will track every part of the product throughout the manufacturing process, from the moment when raw materials enter the factory to the moment when final products are shipped.
Our team expert opinion
We have started the project with a mutual solution design with the customer. Our goal was to clearly define system features, components, and infrastructure so we ensure that the development process is going smoothly. Later we delivered solutions in desired timelines and using modern approaches like serverless, IaaC, and other modern Data Engineering technologies.
Edwin Lisowski CSO and Co-founder – Addepto
Implementing Data Lake to increase data storage efficiency
Addepto decided to implement the Data Lake to store and ingest massive amounts in the most cost-effective way, as flat files. Data Processing engine was adjusted to process stored data (their quality was validated) and prepare it for future fast reporting.
Reporting layer was designed to support fast and standard reporting of product traceability. Ad-hoc reporting tool was implemented to give end-users the possibility to query fast bug amounts of data and find dependencies between products their parts, suppliers, and customers.
Enhancing Security and Safety Across the Production Chain
Company was looking for a partner able to design and implement the product traceability system to increase security and safety throughout the whole production chain and to set an agreeable model for raw material supply.
- Increase quality and safety
- Improve product recalls
- Improve inventory tracking
- Improve customer service
Manufacturing Traceability Solution
The developed application helps improve quality and efficiency by giving manufacturers real-time visibility into their operations and facilitating root-cause analysis.
The manufacturing traceability solution supports finding key points where quality check-ups should be added. The company can quickly answer all production-related problem questions, increasing transparency and accountability throughout the supply chain.
Traceability with direct part marking provides a documented trail of each product, its history, components, quality, and safety, ensuring that products meet given standards or comply with industry regulations.
Before
- Challenging Operation Transparency
- Slow and demanding Data Analysis Processes throughout Supply Chain
- Data Closed in Silos
After
- Improving Operation Transparency
- Increasing Customer Confidence
- Ensuring Product Quality
- Facilitating Root-cause Analysis
About Addepto
Addepto, a fast-paced, growing company focused on innovations in AI-related and data-oriented areas, supports digital transformation at companies working on electronics manufacturing services.
Here you can learn more about the technologies used in this project:
We help them find ways to use their data effectively with data lakes, data platforms, data engineering and so on.
About us
We are recognized as one of the best AI, BI, and Big Data consultants
We helped multiple companies achieve their goals, but - instead of making hollow marketing claims here - we encourage you to check our Clutch scoring.
Other case studies
check all case studies
AI-driven Document Generation on AWS infrastructure
Industry: Private aviation
Check out our case study and discover how we implemented an intelligent system for creating aviation documentation integrated with client’s infrastructure.
Advanced AI System for Seamless Bottle Recycling
Industry: Sustainable Recycling
Check out how our AI integration optimized company’s recycling machines with advanced computer vision sensors, enabling precise material identification.
