Data Analytics in manufacturing
Manufacturing Analytics: intelligently using production data
Why Bosch Manufacturing Analytics?
Data scientists, production experts, and IT specialists work hand in hand to support your Manufacturing Analytics project.
Rapid results that add value
Working closely with you, we implement your data analytics project in a goal-focused fashion, employing proven methods and tools derived from many years of Manufacturing Analytics experience at Bosch.
More than an analytics service project
Backed by extensive experience in software development and product management, we support you by implementing the resulting algorithms and predictive models on live data as software in your IT environment.
Our service goes further
Even after the results have been handed over, we continue to assist you with maintenance and support to steadily refine your implemented analytics models.
You can start right away
At our workshop, you will get everything you need to launch your own analytics project or initiative in manufacturing – specific takeaways included.
It all comes down to the right combination
Draw upon the experience of our specialists so that you can successfully implement your data analytics software project in production.
No matter where you are
Our Manufacturing Analytics services are available worldwide thanks to Bosch’s global footprint.
Comprehensive tool set
You will have access to our comprehensive tool set, which comprises our data quality guidelines as well as various tried-and-true templates for your data analytics project in manufacturing.
Based on recognized standards
Our approach for your Manufacturing Analytics project is based on the CRISP-DM standard. This will help get your initiative approved.
Manufacturing Analytics: Analyze your production data, generate added value
Time-consuming series of tests are a thing of the past. We support you with tried-and-true Manufacturing Analytics methods.
Production processes generate a whole range of data: test data, process data, machine data, etc. This data is often termed the most important raw material in Industry 4.0. Applying data analytics can help you generate concrete added value from your data – either when issues arise or through a process of continuous improvement by identifying correlations that had previously gone unnoticed.
Make use of the data already at your disposal and benefit from the added value you can generate with Manufacturing Analytics!
Intelligently utilize existing production data
From data integration to machine learning: Manufacturing Analytics covers all stages.
To utilize existing production data effectively, it must first be properly prepared and integrated. No need to take this key step alone: our Data Quality Guidelines provide you with best-practice expertise that we have amassed during numerous projects.
We also handle the visualization of data and results plus the application of those data mining and multistep methods (machine learning) that are best suited to your project. Having your own in-house data science experts is not necessary. Together we will even take it a step further: after we integrate the developed prediction models into your IT environment, they can be applied to real-time data – for predictive maintenance, for example.
Overview of Manufacturing Analytics tools and services
In addition to service projects with short, results-oriented phases, we also offer Manufacturing Analytics tools for typical problems in production.
In the orientation phase – before the start of a Manufacturing Analytics project – we work with you in specially designed trainings and workshops to specify your most promising use cases. We also verify the feasibility and how your processes can benefit from analytics. Depending on your needs and project, we offer three levels of Manufacturing Analytics services.
Phase 1: Initial insights
Learn more about your production data.
The objective of this phase is to gain initial insights based on a limited set of your existing production data.
Phase 2: Advanced intelligence
Get ready to tap into your potential for improvement.
In this phase, we expand the scope of the database to verify the initial insights.
Phase 3: Automated analytics
Add long-term value by automating. In this phase, the results from Phase 2 are implemented in your IT environment – for example, as a prediction model for predictive maintenance.
Maintenance and support
We provide you with continuous support as you refine your algorithms in real-time application.
Regarding typical problems in production scenarios, we develop user-friendly, browser-based applications that manufacturing experts can use as a self-service – either as standard or customized tools.
For production planners who focus on end-of-line testing (EoL), we offer a web-based service tool they can use to gain insights into individual testing steps and identify potential for reducing EoL testing work – with no need for analytics experts.
Scrap costs in pump module production were reduced, applying data analytics. Leading to monthly savings of 200.000 EUR.
Successful Manufacturing Analytics projects
We carry out Manufacturing Analytics service projects based on the CRISP-DM industry standard.
Our Manufacturing Analytics services are based on the CRISP-DM standard (Cross-Industry Standard Process for Data Mining), which we have specially expanded for Manufacturing Analytics projects. We place priority on gaining a technical understanding of the customer’s problem and the processes in the data context instead of focusing exclusively on data-oriented analysis.
Our Manufacturing Analytics engineers – experts with many years of operational experience in production environments – support you as you plan and implement your analytics project.
We keep you focused as you move towards your goal.
How do our customers benefit from Manufacturing Analytics projects? Here’s a selection of possible applications:
Manufacturing Analytics for superior quality
- Field data: evaluate the risk of failure, reduce warranty costs
- Process quality: surface coatings, heat treatment, hardening processes
- Process standardization: packaging
- Testing outlay and results
- Root cause analysis: scrap
Manufacturing Analytics for best performance
- Reduce calibration times
- Monitor cycle times
- Optimize testing times
Manufacturing Analytics for minimized maintenance costs
- Predictive maintenance
- Status monitoring
Analyze your production data and generate added value with Manufacturing Analytics
Pool data analytics benefits for Industry 4.0: with Manufacturing Analytics, vendors can enhance competitiveness and offer new integrated analytics functions.
Manufacturing Analytics offers machine and component manufacturers the opportunity to tap new business areas. You can profit from the economic engine effects of industrial digitalization and connectivity. You can offer your customers completely new integrated analytics functions: downtime prediction (for predictive maintenance), optimizing process parameters crucial to quality (correlation analysis), and structured analysis of field data.
By linking your equipment and components with Manufacturing Analytics, you as a manufacturer can provide your customers with an all-inclusive, no-worries package in which you offer not just your products, but also additional features and services for continuous process improvement. As a machine and component manufacturer, you profit here as well by increasing your competitiveness while expanding your portfolio and making your devices “Industry 4.0 ready”.