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Applications for data analysis, issue management and traceability
The main customer goal is to standardize how the Vehicle and Process Quality is monitored and measured.
Our systems and our experience cover different sections of the vehicle lifecycle process, from Product development to After Sales.
Currently these systems are either in Regional or Global instances, helping EMEA, NA, LATAM and APAC users.
Over the years, we implemented customized Quality applications focused on:
Collecting Quality valuable data, gathered from other systems and/or directly into the system
Implementing management workflows with internal and external actors
Providing data and KPI analysis at different levels
Each application is:
Web-based and multi-device, allowing easy access and usage
Centralised (Regional or Global), aggregating data from all plants and other systems
Modular, containerizing functionalities and guiding user on correct management flow
Technologies: .NET FRAMEWORK | SQL | HTML5 | MVC | .NET CORE | ANGULAR | QLIK SENSE
The challenge to standardize Quality processes is proposing a complete but simple solution, which can be used by all type of users (Plant users, Corporate Quality, Suppliers, etc.), give meaning to data from different systems, cover all the steps of the workflow and facilitate KPI monitoring and analysis.
Data collection, aggregation, controls
Issue / Activity Management
Data analysis and discovery
Data can be collected directly into our systems, guiding users in visual way what they need to monitor on vehicles, during either development or production process. These data could be related to detected issues, Quality yard holds, product qualifications, measurement activities, etc.
Data can also be collected from other external systems, not only implementing the needed interfaces to receive and store data, but also:
Showing and maintaining data - user has access to traceability data of 15-years produced vehicles and to all detected issues on the vehicle lifecycle
Aggregating data in a valuable way - multiple issues with same codification/categorization, but detected in different point of the process (production, warranty, etc.), can be aggregated and managed as one single issue
Performing quality checks and controls on received data - traceability data must be compliant to customer standards, allowing to configure different rules
Sending data to other automotive systems - once stored, data could be sent to other systems, starting other processes (e.g. service provisioning, logistic yard-holds creation, Kaizen management, etc)
Once data have been collected, users have specific modules available to manage easily the needed workflow. There could be several steps and different actors involved, both internal and external (e.g. Suppliers), etc.
In our systems we are focusing on Issues or specific Activities, simplifying what users need to do:
Find and trace corrective actions
Plan and check actions’ validity through time
Assign responsibility at different levels (Plant, Corporate, Supplier, etc.)
Plan, monitor and validate activities (Yard-holds, measurements, qualifications)
Enable/disable workflow steps based on previous outcomes
Each system must provide the possibility to analyze and extract the data, with or without KPI. The data analysis is fundamental in Quality processes to monitor what’s happening at different levels (Global, Regional, Plant) and phases (Development, Production). In our applications, we provide:
Dashboards to get an overview of current situation
Report personalizzati, with needed Quality KPIs
Raw data extraction, for detailed analysis
Data discovery, leveraging on BI tool (QlikSense) to allow further analysis
Reports are available to different user levels, allowing to segregate data as needed.