The need for sustainable product end-of-life management technologies is critical in today's globally competitive environment. The ever-increasing environmental consciousness of consumers and strictness in legislative regulations necessitate more prudent product decisions. The ability to make sound decisions on which product end-of-life management technologies to adopt is crucial to achieving sustainability of the product systems. It is essential that effective assessments of these technologies for future investment and applications indicate the total economic, environmental and social impacts of each option as well as the trade-offs between the various product end-of-life management technologies. The tendency in modeling this decision scenario is to base the formulation and the analysis on crisp, deterministic, and precise data. The product end-of-life management decision environment is however characterized by a mix of crisp and linguistically expressed parameters, most of which are uncertain in nature. Furthermore, the decision makers are interested in selecting an option that both satisfies certain minimum requirements and maximize their utility from a set of feasible alternatives. The goal of this study therefore is to develop a simple, efficient procedure that provides the manufacturing and allied industry with the ability to assess and evaluate the sustainability of remanufacturing and related technologies based on lifecycle thinking. This methodology, termed "product lifecycle extension techniques selection (PLETS) model," is a hybrid of fuzzy logic and a number of multi-attribute decision making models. It can be used to determine the remanufacturability of each product. In addition, it can also be employed to compare the economic, environmental and social sustainability of the feasible set of the product end-of-life management technologies being considered. The proposed methodology is illustrated with an example of end-of-life management for a peanut-shelling machine.