Abstract
The quality of post-consumer products is one of the major sources of uncertainty in disassembly systems. This paper develops a methodology to design disassembly lines under variability of the End-of-Life product quality, with the objective to maximize the profit. This decision support system helps to take decisions about the depth of disassembly and the organization of the disassembly system, depending on the pre-process measurement of the key quality characteristics of the product to be disassembled. The industrial benefits are demonstrated in a real industrial case focused on the remanufacturing of mechatronic parts in the automotive industry.
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