… a systematic quantitative analysis. To this end, we investigate how the specific characteristics of ReverseLogistics issues can be translated into appropriate quantitativemodels. Finally, …
… theoretical basis for reverselogistics. We focused on developing quantitativemodels that support … Our research approach included mathematical modeling, software development, case …
… We conclude that the classical facility location models lack most of the above … reverse logistic systems. Therefore, we only discussed models specifically developed for reverselogistics. …
E Van Der Laan, J Van Nunen, LN Van Wassenhove - vol. 0, 1997 - flora.insead.edu
… recently emerged field of reverselogistics. The management of … quantitativemodels taking those changes in the logistics … arising in the context of reverselogistics. In this paper we …
… quantitativemodels to study and analyze reverselogistics. Most of the mathematical modeling studies of reverselogistics … mathematical modeling of reverselogistics inventory models, …
… of quantitativemodels that support reverselogistics decision making in a similar way. … reverselogistics. Presenting a state-of-the-art review of quantitativemodels for reverselogistics …
… To support the understanding of recycling models applied to plastics, the main objective of this work is to offer a literature review of the different reverselogistics (RL) models for …
… Historically, quantitativemodels have contributed to improving decisions in two ways, directly and indirectly. On the one hand, they can be incorporated into software systems to …
… This study identifies the drivers and practices influencing the implementation of reverse logistics (RL) for construction firms engaged in construction and demolition business activities. …