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Collaborations_BWL11

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The chair of logistics & quantitative methods and its industry collaborations

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Richard Pibernik holds the chair of logistics and quantitative methods at the Universtity of Würzburg.

His research and teaching  is focused on quantitative methods for supply chain and logistics management, in particular data-driven approaches that integrate machine learning and traditional optimization models.

He's working on various projects in collaboration with companies like Lufthansa Technik, va-Q-tec and Maisha meds.
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va-Q-tec

va-Q-tec is a dynamic high-tech company that has been pioneering the development of innovative solutions in the insulation industry since 2001 on the basis of energy efficient, space saving and environmentally friendly vacuum insulation panels (VIPs).
The VIPs insulate around 10 times more efficiently than conventional fiber or foam insulation.

They manufacture passive thermal packaging solutions (containers & boxes) which offer constant temperature conditions typically for 4 to 10 days. The company produces in Germany and assures the highest quality standards.

The efficient technology of va-Q-tec’s products saves valuable energy, for example in transport of pharmaceutical products, as well as in automobiles and aircraft.
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When the CEO of va-Q-tec Dr. Joachim Kuhn visited the University of Würzburg to talk to students about his firm and its processes, he mentioned the huge amount of data that is created by the company's containers all over the world.

Professor Pibernik immediately recognized the opportunity for a fruitful collaboration between the company and his team of researchers. This was the outset of a project to improve the routing, positioning and maintenance of containers based on big data.

Where is a container? Where does it have to be next? When is the next maintenance scheduled or needed? These are important questions, that require and create a lot of data. The team around Professor Pibernik trys to opimize and even create new processes based on the data generated by the containers.

Currently there are five students actively involved in the project. They are working on collecting data and obtaining new insights through its analysis.
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Lufthansa

Lufthansa Technik is the leading provider of aircraft maintenance, repair, overhaul and modification services for civil aircrafts.

In the global network of its Logistik Services division, thousands of spare aircraft parts – from standard screws to airplane engines – are moved from place to place each day. However, fluctuations in quantities and demands for ever shorter throughput times make planning and managing these material flows a difficult task, which is nevertheless very important. In order to better manage these tasks, the intention of this scheme is to create a digital image of every material movement, which makes all of the information centrally accessible.
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In a joint project with Lufthansa Technik Logistik Services GmbH (LTLS), the Chair of Logistics and Quantitative Methods is developing innovative methods for predicting and planning capacity requirements.

The aim of a 100-day project by LTLS and researchers from Professor Richard Pibernik's team is to improve manpower planning in central goods receiving departments by using large amounts of data on material movements. In connection with this, machine learning techniques are deployed in order to use the data provided to create forecasts and direct proposals for decision making.
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Maisha Meds

Maisha Meds is a start-up in Kenia that is developing new technology and systems for rural pharmacies in East Africa, where small clinics, pharmacies, and drug stores provide over 60% of primary health care.
Yet, they often lack the tools required to deliver effective care.

Therefore the company supports the management of pharmacies and helps to purchase high-quality medicine at lower prices.

The idea behind it is to make life saving medicine accessible to everyone, especially to people in less inhabited and less wealthy regions.
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Professor Pibernik and his team have been working in health care supply chain management for quite some time now.

The collaboration with Maisha Meds is all about developing new methodologies for pharmacy operations based on data they receive from different pharmacies through Maisha Meds.

These methodologies then build the foundation for innovative managemnet concepts and recommendations for the pharmacies on when and how much to order health care products.

This project means a lot to the chair as it has purpose beyond cost improvement and, hopefully contributes to the well-being of many people.
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