Access this book
Tax calculation will be finalised at checkout
Other ways to access
About this book
Alexander Hübl develops models for production planning and analyzes performance indicators to investigate production system behaviour. He extends existing literature by considering the uncertainty of customer required lead time and processing times as well as by increasing the complexity of multi-machine multi-items production models. Results are on the one hand a decision support system for determining capacity and the further development of the production planning method Conwip. On the other hand, the author develops the JIT intensity and analytically proves the effects of dispatching rules on production lead time.
Similar content being viewed by others
Keywords
Table of contents (7 chapters)
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Stochastic Modelling in Production Planning
Book Subtitle: Methods for Improvement and Investigations on Production System Behaviour
Authors: Alexander Hübl
DOI: https://doi.org/10.1007/978-3-658-19120-7
Publisher: Springer Gabler Wiesbaden
eBook Packages: Business and Management, Business and Management (R0)
Copyright Information: Springer Fachmedien Wiesbaden GmbH 2018
Softcover ISBN: 978-3-658-19119-1Published: 02 August 2017
eBook ISBN: 978-3-658-19120-7Published: 26 July 2017
Edition Number: 1
Number of Pages: XV, 139
Number of Illustrations: 7 b/w illustrations, 12 illustrations in colour
Topics: Operations Research/Decision Theory, Logistics, Production