Title: Development of a supplier management concept in the automotive sector based on customer data and potential analysis
In the age of the Internet of Things, car manufacturers have a large amount of customer data; e.g. data about the customer, his ratings and complaints or usage data, how he interacts with the product. Especially with cyber-physical systems, the possibilities to collect data seem endless. In this way, a digital profile can be specifically created from the customer: his characteristics, his needs and his behavior are merged into one image. This information can be used by manufacturers to optimize the product to their own wishes and purchasing decisions, thus distinguishing them from the competition in the sales market. However, especially with complex products, such as in the automotive industry, manufacturers no longer develop and produce components themselves, but increasingly rely on components from suppliers. This leads to the guiding research question for this work: How can this data be used in the automotive industry, what new business concepts and how can this information be marketed in order to establish long-term supplier relationships between suppliers and final producers or to select new ones?
In the context of this research the utilization of the customer data for the supplier management is to be examined. The aim is to build on similar procedures for transferring customer data in the product development process to the product rehabilitation and the differences are worked out.
After a theoretical preparation of the subfields "Information from customer data" and "Supplier management", a concept is to be designed in which the customer data are systematically processed into information for the suppliers. The procedure is to be validated on the basis of case studies and the functionality visualized graphically.
In detail, the following subtasks are to be solved:
• literature research on the two topics of customer data and supplier management in product development in the automotive industry
• Potential analysis of the characteristics of customer data profiles from different sources of information e.g. with the help of data analysis methods (e.g. harvey balls)
• Identification and preparation of suitable customer data information
• Conceptualization of a comprehensive customer-based model to optimize the supplier relationship in automobiles
• Validation based on case studies and graphical visualization of the developed customer data format
• Critical reflection and derivation of next steps
• Documentation of the results
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Title: Development of a supplier management concept in the automotive sector based on customer data and potential analysis backgroung: In the age of the Internet of Things, car manufacturers have a ... Read More
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