Current Projects

Data in the Supply Chain Reliability Control Loop

For this project, we described the existing process of the reliability control loop and then developed a new ideal process and a data structure model. The corresponding data was then simulated and transferred to a demonstration for purposes of visualization and manual analysis of supply streams and production quality. 

We are currently designing and implementing AI algorithms to facilitate the analysis. The result will be a cloud-based application for use by the member companies of the VDA.


Automotive Cyber-Security Incident Response

The more tightly networked vehicles become, the greater the hazards posed by hacking. Customers, regulatory bodies and the general public expect OEMs and suppliers to take effective technical and organizational measures to identify and analyze security incidents and to correct the vulnerabilities.

In cooperation with Fraunhofer FOKUS, we defined a framework procedure for automotive cyber-security incident response (automotive CSIR). We used this framework to derive both recommended procedures for decision-makers and automotive CSIR teams and a list of questions for evaluating automotive CSIR capabilities.

We are currently piloting this questionnaire with two companies. The results of the pilot study will be used to further improve the list of questions.

Pocket Guide „Automotive Cybersecurity Incident Response“

Project report „Car Security Incident Response”


Networked Autonomous Vehicles: Level 2 to Level 3

Due to the number and complexity of test cases, fully automatic driving (levels 3 and up) are not feasible in real-world traffic conditions. Additional digital (simulated) safety and approval processes must be integrated into the development processes. Conventional testing methods are complemented by digital testing scenarios to verify in simulation that the automatic driving functions are working correctly. While efforts to specify and define the digital, simulated testing scenarios are ongoing, so far no uniform procedure has been developed for approving and operating the simulation tools being used.

In this project, we worked toward the development of uniform procedures for approving and operating simulation tools in a preparatory capacity by developing recommended practices and suggested solutions. These tools will be needed in the future for approving automatic driving functions.

We are currently evaluating which concepts from the IT and software industries can be used for certifying the simulation tools. In addition, we are determining what extensions are necessary in order to allow validation and approval of self-learning algorithms.


Over-the-Air Software Updates

Over-the-air (OTA) updates will benefit the automotive industry and its customers by allowing quicker, more frequent and more extensive updates to the software of the infotainment and driving systems of vehicles. However, since it may open up the vehicles to hacking attacks and faults in safety-relevant functionality, OTA brings with it some risk as well. So far no adequate, uniform QM system exists for this purpose, nor have any manufacturer-independent technical or legal framework conditions for securely (and legally admissibly) applying OTA updates been defined yet.

Our analysis of OTA updating involved a survey of global activity and an investigation of the legal framework conditions. From these we developed an idealized, holistic OTA process design, which we validated by simulations of various use cases. The detailed process description also examined issues arising from the upcoming UN ECE regulations on software updates.


Quality Requirements of Customers for Charging Infrastructure

A positive customer experience during charging of electric vehicles is critical to the establishment of electromobility. An important success criterion for the introduction of electric vehicles is that customers do not perceive the process of charging their vehicles as limiting to their individual mobility. At the moment there are still significant shortcomings in the consumer-friendliness of charging infrastructure. A test of charging stations in Germany performed by the German national automobile club ADAC found that they still lag significantly behind conventional gas pumps in terms of ease of use and understandability of information and pricing.

One objective of this project is to create a framework for measuring customer satisfaction with charging infrastructure. The first step is to analyze users' general expectations of electromobility and to determine the factors that influence whether these expectations are met. These isolated influence factors are used to derive characteristic figures for measuring how customer-friendly a charging station is, allowing meaningful evaluation and comparison of customer satisfaction with the charging process across manufacturers and operators.


Challenges for Quality Management in an Agile Environment

The automotive industry is currently experiencing a shift toward digitization of its products and services. This change is influencing not only the type of products but also how they are developed and maintained. The phase-oriented product development processes previously predominant in the auto industry are being supplanted by agile approaches that have been in use for many years in the software development industry.

Introducing agile development methods presents new challenges for quality management. This project is devoted to portraying these challenges and recommending ways to handle them. 

Projekt report „Challenges for quality management in an agile environment“


Data-Driven Field Complaints Process

We are analyzing the current state of field complaints processes and identifying the data relevant to complaints. Based on these results, we will develop conditions for implementing and re-engineering a field complaints process to be supported by data.


CAQ in the Supply Chain as a Basis for Industry 4.0/Internet of Things Applications

In this project, we are substantiating the term computer-aided quality (CAQ) and locating potential areas of application on a process map. After this we will evaluate potential applications and develop measures.