Doctoral Thesis Quantitative Models for Reverse Logistics

Defended on Thursday, 5 October 2000

Abstract

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.

Keywords

remanufacturing, waste, costs, distribution, environment, equipment, Europe, facility, facility location, forecasting, fraction, Germany, goods, goods ows, inbound, industry, inspection, integration, inventory, inventory models, inventory position, lead times, logistics networks, machines, management, manufacturing, marketing, modelling, network design, networks, optimality, optimising, packaging, paper recycling, planning, product recovery, recovery, recovery network, recycling, repair, resources, responsibility, returning, reuse, reverse, reverse channel, reverse logistics, review, supply chain, supplying, transportation, uncertainty, unit variable cost, van, warehouses

Time frame

1996 - 2000

Preferred reference

M. Fleischmann, Quantitative Models for Reverse Logistics, Promotors:Prof. dr. ir. Rommert Dekker,prof.dr.ir. Jo van Nunen, http://hdl.handle.net/1765/1044

Author

Moritz Fleischmann
Moritz Fleischmann

Supervisory Team

Rommert Dekker
Professor of Econometrics (Operations Research and Informatics)
  • Promotor
Jo van Nunen
Jo van Nunen
Professor of Operations Research and Information Sciences
  • Promotor

Committee Members

Roelof Kuik
Roelof Kuik
Associate Professor in Quantitative Methods in Supply Chain Management