Dynamic Inventory Management in Reverse Logistics

by Rainer Kleber

The integration of product recovery into regular production processes enables new opportunities for cost savings. It also yields new challenges for inventory management because there are two sources to satisfy product requirements which need to be coordinated by additionally taking into account limited availability of used products. In case of a dynamic planning situation, for instance when dealing with seasonality or the product life cycle, new motives for keeping stock arise. The work aims to identify those motives and to describe their effects by using methods of optimal control theory.

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Year of publication:	2006
Authors:	Kleber, Rainer
Publisher:	Berlin, Heidelberg : Springer-Verlag Berlin Heidelberg
Subject:	Lagermanagement \| Warehouse management \| Betriebliche Kreislaufwirtschaft \| Reverse logistics \| Lagerhaltungsmodell \| Inventory model \| Kontrolltheorie \| Control theory \| Theorie \| Theory \| Entsorgungslogistik \| Bestandsmanagement
Description of contents:	Table of Contents [external.dandelon.com] ; Description [swbplus.bsz-bw.de] ; Description [zbmath.org]

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Extent:	Online-Ressource (XIV, 181 p. 55 illus, online resource)
Series:	Lecture Notes in Economics and Mathematical Systems ; 574 SpringerLink / Bücher
Type of publication:	Book / Working Paper
Language:	English
Notes:	Literaturverz. S. 177 - 181 A basic quantitative model for medium and long range product recovery planningA basic Quantitative model of dynamic product recovery -- Solution of the model without initial inventories -- Dealing with initial inventories -- Numerical examples -- Comparison of holding cost and discounted cash flow -- Managerial insights -- Proofs and derivations -- On the effects of capacity constraints in product recovery -- Limited production capacity -- Limited remanufacturing capacity -- Proofs -- Knowledge acquisition and product recovery -- A model with remanufacturing knowledge acquisition -- Optimality conditions and general results -- optimal policies in specific situations -- Numerical examples -- Conclusions and managerial insights -- Proofs -- Technology selection in the context of revers logistics -- A dynamic modeling environment for strategic decision making -- Three investment projects -- A numerical investigation -- Effects of a limited remanufacturing capacity -- Conclusions and possible extensions -- Proofs and statistical tests.
ISBN:	978-3-540-33230-5 ; 978-3-540-33229-9
Other identifiers:	10.1007/3-540-33230-8 [DOI]
Classification:	Methoden und Techniken der Betriebswirtschaft ; Beschaffung, Materialwirtschaft
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10013520548