Stochastic Modelling in Production Planning: Methods for Improvement and Investigations on Production System Behaviour

by Alexander Hïbl

Overview

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.

Product Details

ISBN-13:	9783658191191
Publisher:	Springer Fachmedien Wiesbaden
Publication date:	07/27/2017
Edition description:	1st ed. 2018
Pages:	139
Product dimensions:	5.83(w) x 8.27(h) x (d)

About the Author

Alexander Hübl holds a PhD in logistics and operations management from University of Vienna, Austria. He leads the research group Supply Chain Planning at the department Logistikum at the University of Applied Sciences Upper Austria. His research interests include discrete event simulation, agent-based simulation, queuing theory, shastic modelling and their applications in logistics and operations management.

Table of Contents

Utilisation Concept.- Capacity Setting Methods.- Conwip.- Dispatching Rules.