Stochastic dual-objective disassembly sequence planning with consideration of learning effect

Keyphrases

• Assembly Sequence 50%
• Assembly Time 100%
• Crossover mutation 50%
• Crossover Operator 50%
• Disassembling 100%
• Disassembly Profit 50%
• Disassembly Sequence Planning 100%
• Dual Objectives 100%
• End-of-life Products 50%
• Human Learning 50%
• Human Operator 50%
• Learning Effect 100%
• Many-objective Evolutionary Algorithm (MaOEA) 100%
• Multi-population 50%
• Mutation Operator 50%
• New Mathematical Model 50%
• Non-dominated Sorting Genetic Algorithm (NSGA-II) 50%
• Numerical Cases 50%
• Planning Problem 50%
• Problem Features 50%
• Remanufacturing Process 50%
• Setup Time 50%
• Solution Representation 50%
• Starting Time 50%

Engineering

• Experimental Result 50%
• Genetic Algorithm 50%
• Human Operator 50%
• Learning Effect 100%
• Mathematical Model 50%
• Mutation Operator 50%
• Product Life 50%
• Remanufacturing 50%
• Setup Time 50%

Mathematics

• Evolutionary Algorithm 100%
• Genetic Algorithm 50%
• Mathematical Modeling 50%
• Minimizes 50%
• Stochastics 100%