Skip to content
You are not logged in |Login  
     
Limit search to available items
Book Cover
Bestseller
BestsellerE-Book
Author Quante, Rainer. Author.

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

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

Copies

Location Call No. Status
 All Libraries - Shared Downloadable Materials  JSTOR Open Access Ebook    Downloadable
All patrons click here to access this title from JSTOR
 University of Saint Joseph: Pope Pius XII Library - Internet  WORLD WIDE WEB E-BOOK JSTOR    Downloadable
Please click here to access this JSTOR resource
Edition 1st, New ed.
Description 1 online resource.
Series Forschungsergebnisse der Wirtschaftsuniversität Wien ; 37
Thesis Doctoral Thesis.
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).
GMD: electronic resource.
Subject Production control.
Business logistics.
Stochastic control theory.
Other Form: Print version: 9783631594094
Standard No. 9783631753866
10.3726/b13905 doi
ISBN 9783631753866 (electronic bk.)
3631753861 (electronic bk.)
-->
Add a Review