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Sep 24, 2021 at 5:53 PMProf. Dr.-Ing. Philipp Gölzer from the Fraunhofer Group for Supply Chain Services at Fraunhofer IIS provides insights into concrete application scenarios for data-driven decision-making processes in spare parts logistics. In his presentation, he explains potential opportunities and approaches, as well as the questions that may arise.
(Erlangen) Spare parts logistics is an important component of distribution logistics. From the perspective of the quality of customer relationships of a company, it holds great significance. Spare parts logistics primarily ensures the timely supply of customers with the urgently needed individual parts. To guarantee this supply, the procurement, storage, and distribution of spare parts have the highest priority.
Prof. Dr.-Ing. Philipp Gölzer, business field coordinator for “Digitalized Production” at the Fraunhofer Group for Supply Chain Services at Fraunhofer IIS, provides a brief introduction to the topic of Data Analytics and the specific requirements in developing data-driven decision-making processes or solutions. Concrete application scenarios along a value chain illustrate potential opportunities for spare parts logistics and deepen the approaches.
Answers to Open Questions
In his presentation, Prof. Gölzer answers the following questions:
- What added value can data-driven processes create in spare parts logistics?
- Which questions along the spare parts logistics process chain can be supported by data-driven processes?
- What fields of action and challenges arise during implementation?
Photo/Video: © Fraunhofer IIS
