Kids Library Home

Welcome to the Kids' Library!

Search for books, movies, music, magazines, and more.

Available items only
Author Quante, Rainer. Author.

Title Management of Stochastic Demand in Make-to-Stock Manufacturing Rainer Quante.

Imprint Frankfurt a.M. Peter Lang GmbH, Internationaler Verlag der Wissenschaften [2018], ©2010.


Location Call No. OPAC Message Status
 Axe JSTOR Open Ebooks  Electronic Book    ---  Available
Edition 1st, New ed.
Description 1 online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
Series Forschungsergebnisse der Wirtschaftsuniversität Wien 37.
Free online access: JSTOR.
Thesis Thesis (Doctoral).
Contents Demand Fulfillment in Make-to-Stock Manifacturing -- A Framework for Demand Management -- Demand Management Models in Make-to-Stock Manifacturing -- Advanced Planning Systems -- Available-to-Promise -- Allocation and Order Promising -- Revenue Management -- Randomized Linear Programming.
Summary Up to now, demand fulfillment in make-to-stock manufacturing is usually handled by advanced planning systems. Orders are fulfilled on the basis of simple rules or deterministic planning approaches not taking into account demand fluctuations. The consideration of different customer classes as it is often done today requires more sophisticated approaches explicitly considering stochastic influences. This book reviews current literature, presents a framework that addresses revenue management and demand fulfillment at once and introduces new stochastic approaches for demand fulfillment in make-to-stock manufacturing based on the ideas of the revenue management literature.
Biography The Author: Rainer Quante, 2000-2005 Study of Business Computing at the University of Paderborn; 2004-2005 Diploma student at a car manufacturer in Ulm; 2005-2008 Doctoral student at the Vienna University of Economics and Business Administration; 2008 to present Supply Chain Controller at an Austrian Airline in Vienna.
Note Online resource; title from title screen (viewed December 28, 2018).
Subject Production control.
Business logistics.
Stochastic control theory.
Business logistics. (OCoLC)fst00842759
Production control. (OCoLC)fst01078267
Stochastic control theory. (OCoLC)fst01133503
Genre/Form Academic theses. (OCoLC)fst01726453
Electronic books.
Academic theses.
Other Form: Print version: 9783631594094
ISBN 9783631753866 (electronic bk.)
3631753861 (electronic bk.)
Standard No. 9783631753866
10.3726/b13905 doi

Available items only