9783540417118 - quantitative models for reverse logistics (lecture notes in economics and mathematical systems, 501, band 501) von fleischmann, moritz (2 Ergebnisse)
Quantitative Models for Reverse Logistics (Lecture Notes in Economics and Mathematical Systems, 501)
Sprache: Englisch
Verlag: Springer, 2001
Serie: Lecture Notes in Economics and Mathematical Systems, Buch 92 von 126. Buch 92 von 126 - Lecture Notes in Economics and Mathematical Systems
- Softcover
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes KönigreichRia Christie Collections
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 117,41
EUR 14,10 VersandVersand von Vereinigtes Königreich nach USAAnzahl: Mehr als 20 verfügbar
Zustand: New. In.
Sprache: Englisch
Verlag: Springer, 2001
Serie: Lecture Notes in Economics and Mathematical Systems, Buch 92 von 126. Buch 92 von 126 - Lecture Notes in Economics and Mathematical Systems
- Softcover
Anbieter: AHA-BUCH GmbH, Einbeck, DeutschlandAHA-BUCH GmbH
Verkäufer/-in kontaktierenVerkäufer/-in mit 5 SternenZustand: Neu
EUR 112,77
EUR 61,56 VersandVersand von Deutschland nach USAAnzahl: 1 verfügbar
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Economic, marketing, and legislative considerations are increasingly leading companies to take back and recover their products after use. From a logistics perspective, these initiatives give rise to new goods flows from the user back to the producer.… The management of these goods flows opposite to the traditional supply chain flows is addressed in the recently emerged field of Reverse Logistics. This monograph considers quantitative models that support decision making in Reverse Logistics. To this end, several recent case studies are reviewed. Moreover, first hand insight from a study on used electronic equipment is reported on. On this basis, logistics issues arising in the management of 'reverse' goods flows are identified. Moreover, differences between Reverse Logistics and more traditional logistics contexts are highlighted. Finally, attention is paid to capturing the characteristics of Reverse Logistics in appropriate quantitative models.
