This paper addresses a gap in the Lambert model of supply chain management through refining the link between the returns management process and the overall strategy of a supply chain firm by addressing the decision as to which reverse logistics activity to pursue. Current literature is sparse in this area and existing decision support systems (DSS) do not specifically address this problem. In order to determine what variables should be considered in such a DSS, recent DSS and simulation literature that addresses decision making within reverse logistics was reviewed. The author compiled a listing of 60 different variables spanning six broad categories, which identify areas for further research, gives researchers a comprehensive listing of variables to consider, and that can be analyzed in further studies to create a disposition decision framework and corresponding DSS. he views expressed in this article are those of the author and do not reflect the official policy or position of the United States Air Force, Department of Defense, or the U.S. Government.