ABSTRACT
A major driver for companies interested in collecting used products is recoverable value through reprocessing (remanufacturing or recycling). However, the companies seldom know when those products were bought and why they were discarded. Also, the products do not indicate their remaining life periods. Hence, they often undergo partial or complete disassembly for subsequent reprocessing. The authors are of the opinion that for some used products, it might make more sense to make necessary repairs to the products and sell them on secondhand markets than to disassemble them for subsequent reprocessing. To this end, in this chapter, using a numerical example, it is shown how an expert system can be built using Bayesian updating and fuzzy logic to decide whether it is sensible to repair a used product of interest for subsequent sale on a secondhand market. It is assumed here that the used product of interest functions improperly; it is obviously sensible to sell a properly functioning used product on a secondhand market.
