Electronic products with newer technologies are continuously introduced in the market and in order to keep up with the technology, consumers are constantly upgrading their products. Therefore, products become obsolete even though they are in good conditions. A large quantity of these obsolete end-of-life (EOL) products is disposed of in the landfills, which is harmful for the environment. Hence, government has enforced strict rules and regulations in order to protect the environment from hazardous waste. In order to comply with the rules, OEMs are implementing product recovery techniques such as recycling and remanufacturing.
This paper considers an Advanced-Remanufacturing-To-Order-Disassembly-To-Order system which receives EOL products with design alternatives. The quality of the received EOL products is unknown which leads to stochastic disassembly yields. The uncertainties about the quality of EOL products also make it difficult to identify the exact number of EOL products needed for disassembly in order to fulfill all the demands. The main objective is to determine the number of EOL products to be acquired such that it satisfies products, components and materials demands. A goal programming approach is considered to formulate and solve this multi-criteria decision making problem. An example is presented to illustrate the use of this methodology.