Abstract
In recent years, remanufacturingRemanufacturing has become critical for environmental protection and natural resource conservation. The purpose of the work reported in this chapter is to find the best plan for product disassemblyDisassembly, the first step in the recovery of end-of-life products, balancing the three goals of sustainabilitySustainability—economic, energy and environmental. The study proposes three strategies: reuseReuse, remanufacturingRemanufacturing and recyclingRecycling. The Multi-objectiveMulti-objective Bees Algorithm (MOBA), Non-dominatedNon dominated SortingSorting Genetic Algorithm II (NSGA II) and Pareto Envelope-based Selection Algorithm II (PESA II) are used to create solutions for two case studies. In this work, MOBA outperforms other algorithms in finding Pareto optimal solutions for robotic disassemblyDisassembly sequence planning in all cases.
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