THE IMPACT OF PRODUCT RECOVERY ON LOGISTICS NETWORK DESIGN

By Moritz Fleischmann, P. Beullens, Jacqueline Bloemhof-Ruwaard, Luk N. VanWassenhove. 2001

890 citations recorded by the source corpus.

Subfields: Management Information Systems, Strategy and Management

View Paper: https://www.semanticscholar.org/paper/4d65fa3dd1bb75f4dd215152d314b4694f444d16

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Information Systems

In Strategy and Management

Citations in the corpus

Product Reuse Economics in Closed‐Loop Supply Chain Research (2008, background): “Toktay et al. (2000) cleverly use past sales and returns information to forecast future return rates, whereas both Fleischmann et al. (2001) and van der Laan et al. (1999) are less sophisticated in modeling the return process.”
Reverse Channel Design: The Case of Competing Retailers (2006, background): “Product characteristics such as product weight and volume impact transportation costs for used products and consequently determine which processing steps to perform in decentralized facilities, and which steps to perform in more centralized locations (Fleischmann et al. 2001).”
The design of reverse distribution networks: Models and solution procedures (2003, background): “A number of papers have been published recently on the issue of product recovery network (Bloemhof- Ruwaard et al., 1999, Fleischmann et al., 2000a, Fleischmann et al., 2000b, Krikke et al., 1999a).”
An Integrated Hybrid Approach for Circular supplier selection and Closed loop Supply Chain Network Design under Uncertainty (2020, methodology): “Fleischmann et al. (2001) were one of the pioneers in studying and de ﬁ ning CLSC characteristics by extending the forward logistics model into reverse logistics and incorporating the differences using the mixed-integer linear programming model (MILPM).”
A proposed mathematical model for closed-loop network configuration based on product life cycle (2012, background): “[6] presented a generic model for recovery network configuration.”
A multi-objective facility location model for closed-loop supply chain network under uncertain demand and return (2013, background): “[5] extended a forward logistics model to a reverse logistics system and discussed the differences.”
Green Supply-Chain Management: A State-of-the-Art Literature Review (2007, methodology): “Fleischmann et al. (2001) and Swenseth and Godfrey (2002) carry out parametric analysis.”
Environmentally conscious manufacturing and product recovery (ECMPRO): A review of the state of the art. (2010, methodology): “Salema et al. (2007) point out that Fleischmann et al. (2001) do not take into consideration some important problems of real RL networks such as capacity limits on production/storage, multi product production, and uncertainty in demand/return flows.”
A memetic algorithm for bi-objective integrated forward/reverse logistics network design (2010, background): “[6] to multi-product networks under demand uncertainty.”