Overview
- Provides an overview of the state of the art in rapid modeling for integrated demand and supply management
- Includes supplementary material: sn.pub/extras
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Keywords
Table of contents (23 papers)
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Survey and Longitudinal Research
Editors and Affiliations
About the editor
Gerald Reiner studied Business Administration in Vienna after an education in Industrial Engineering. In 2001 he received his Doctorate in Business Administration (Quality Management and Production Management) at the Vienna University of Economics and Business Administration, where he later received his Habilitation (venia legendi).
Between 1999 and 2006 he was Assistant Professor at the Department of Production Management at the Vienna University of Economics and Business Administration. He served as visiting professor at Aston Business School (UK) in March 2006 and also at the University of Lausanne (Switzerland) from March 2007 to June 2007.
Since February 2007 Gerald Reiner has been a full professor at the Enterprise Institute at the University of Neuchâtel, Switzerland. His research interests lie in the fields of supply chain management, quality management and operations management. He has published articles in International Journal of Production Economics, International Journal of Production Research, International Journal of Operations and Production Management, Operations Management Research, and other leading journals, as well as books and numerous book chapters.
Bibliographic Information
Book Title: Rapid Modelling for Increasing Competitiveness
Book Subtitle: Tools and Mindset
Editors: Gerald Reiner
DOI: https://doi.org/10.1007/978-1-84882-748-6
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London 2009
Hardcover ISBN: 978-1-84882-747-9Published: 15 June 2009
Softcover ISBN: 978-1-84996-851-5Published: 13 October 2010
eBook ISBN: 978-1-84882-748-6Published: 13 June 2009
Edition Number: 1
Number of Pages: XXII, 310
Topics: Engineering Economics, Organization, Logistics, Marketing, Operations Research/Decision Theory, Simulation and Modeling, Operations Research, Management Science