Curriculum Vitae
since May 2014 Head of the laboratory for AI-based System Simulation, Machine Learning and Industrial Data Analytics (SYSiDAT). On basis of this institution, research and third-party-funded projects are performed in the fields of factory planning, material flow- and process optimization, based on AI- supported data analytics - among other things with the aid of different simulation environments in cooperation with partners from industry and universities. since Nov 2013 Director of the Master’s Degree Programm in Business and Industrial Engineering within the course of studies Business & Industrial Engineering at the University of Applied Sciences Würzburg-Schweinfurt
Professor Dr. Kurt Schwindl
Oct 2013 - Feb 2014 External lectureship for the department “Operations Research” at TU Darmstadt; representation of the former lecture of Prof. Dr. em. Wolfgang Domschke since Jan 2013 Subject Editor of Applied Mathematical Modelling [see also a short biography at Elsevier - Journals - Applied Mathematical Modelling] since Oct 2014 and between Oct 2011 and Sep 2013 Vice Dean of the Faculty of Business and Engineering at the University of Applied Sciences Würzburg-Schweinfurt Dec 2009 Appointment as full professor for the teaching and research areas "Technical Logistics Systems" and ‘Process Optimization’ with effect from 01.03.2010 at the Faculty of Business and Engineering at the University of Applied Sciences Würzburg- Schweinfurt Sep 2009 - Feb 2010 Lecturer at the Faculty of Business and Engineering at the University of Applied Sciences Würzburg-Schweinfurt Jul 2009 - Dec 2009 Head of Quality, Process and Lean Management (Head of Department). In this function responsible for the introduction, maintenance and further development of the MAN SE production system for the total area of worldwide spare parts logistics at MAN Nutzfahrzeuge AG Oct 2008 - Jun 2009 Module Manager Distribution Logistics in the area of cross-location international spare parts supply for MAN Nutzfahrzeuge AG; responsible for the leadership of 145 employees; parallel to this, project manager for the further development of the logistics center of the central spare parts warehouse, MAN Nutzfahrzeuge AG Munich, Dachau Jan 2008 - Sep 2008 Head of process and quality management for spare parts logistics at MAN Nutzfahrzeuge AG; responsible for the continous development and optimization of the supply chain processes, in particular warehouse logistics and their technical material flow systems; project management for the reprogramming of the S7 control of an automated miniload warehouse; introduction of Toyota Production System methods and management of various Six SIgma projects Jul 2006 - Dec 2007 Logistics planner for plant logistics at MAN Nutzfahrzeuge AG, Munich Jun 2005 - Jul 2006 Process and quality manager for the planning, optimization and reorganization of the spare parts supply chain of the spare part center in Munich, Dachau; responsible for organizational development, initiation and implementation of CIP projects and for change and risk management for the introduction of SAP R/3 in the spare parts logistics of MAN Nutzfahrzeuge AG, Munich, Dachau Apr 2004 - Jun 2005 Overall project manager for the introduction of a warehouse management system (WMS) across all locations at various european locations of MAN Nutzfahrzeuge AG within its spare parts logistics environment Mar 2004 - Feb 2005 Lecturer at the University of Applied Sciences Munich, Faculty of Business Administration, as part of a teaching assignment in the field of ‘distribution logistics and intralogistics’ and ‘Algorithms in SAP APO’ Jun 2002 - Mar 2004 Process designer and sub-project manager for supply chain management and intralogistics as part of a larger SAP R/3 implementation project in the spare parts logistics area of MAN Nutzfahrzeuge AG, Munich Nov 1997 - May 1999 Logistics planner for a mid-sized mechanical engineering company in the field of production logistics University eductaion May 2003 - Jul 2009 External doctorate at the Faculty of Economic Sciences of the Westfälische Wilhelms-Universität Münster in the field of Production Control / Production and Material Flow Optimization at the Institute of Business Informatics at the Chair of Quantitative Methods, Prof. Dr. rer. nat. Ulrich Müller-Funk (supervisor) Jun 2002 Graduation to Diplom-Kaufmann (Univ.) after studying business administration at the University of Passau with a focus on business informatics, statistics, logistics and manufacturing management; diploma thesis on the topic of "setup time optimization in series production". Jul 1994 After studying Physical Engineering with focus on "Technical Physics" at the University of Applied Sciences Munich, graduation to Diplom-Ingenieur (FH); Diploma thesis on "Capacitive acceleration sensors with pulse amplitude modulation" with SIEMENS AG Regensburg in the field of R&D Automotive, Airbag Sensors in a nutshell: Dr. Kurt Schwindl is a Professor of Quantitative Methods, Industrial Analytics and Management Sciences, at the Faculty of Business and Industrial Engineering at the University of Applied Sciences Würzburg-Schweinfurt, Germany. He received M.B.A. degrees in Technical Physics and Economic Sciences from University of Applied Sciences Munich and University of Passau and a Ph.D. from the University of Münster (Westfahlen, Germany) in Operations Research and Informations Systems. He has many years of practical experience as the head of department in the logistics area at MAN SE (Munich) in Process Optimization and Organization Consultancy and is recognized as an experienced Six Sigma Master Black Belt and leading expert in Analytical Process Optimization. His main research interests focus on Material Flow Optimization, quantitative and statistical Methods for planning and optimizing logistic processes, Computational and Artificial Intelligence in Technical Logistic Systems, Production Planning and Control (PPC), Natural Analogue Methods for Process Optimization, Autonomous Controlled Logistic Systems, Econophysics, and Machine Learning, Artificial Intelligence, Data Analytics all with the emphasis on logistics and manufacturing processes.
© Prof. Dr. Kurt Schwindl