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
Resume
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