Collaborative Optimisation of Robotic Disassembly Planning Problems using the Bees Algorithm

Abstract

RemanufacturingRemanufacturing is an important way to realize environmental protection and resource reutilization by reusing end-of-life products. DisassemblyDisassembly is an important process of remanufacturingRemanufacturing. Manual disassembly is a common method used to disassemble end-of-life products; it is expensive and inefficient. Recently, robotic disassemblyRobotic disassembly has been proposed to address the shortcomings of manual disassemblyDisassembly. Before the robotic disassemblyRobotic disassembly execution process, robotic disassembly planningDisassembly planning, which contains robotic disassembly sequence planning and robotic disassemblyRobotic disassembly line balancing, could be utilized to improve disassembly efficiency. However, the existing research independently studies roboticRobotic disassembly sequence planning and robotic disassembly line balancing and ignores their interrelationships. In this chapter, the Bees algorithmBees Algorithm is utilized to collaboratively optimize the robotic disassembly planningDisassembly planning methods. First, every single robotic disassemblyRobotic disassembly workstation executes the disassemblyDisassembly tasks assigned by using the space interference matrix and roboticRobotic workstation assignment method in the robotic disassembly line. Then, the optimization objectives of the collaborative optimizationCollaborative optimization problem are described, and the analytic network process is utilized to assign weights to different objectives. After that, the improved discrete Bees algorithm is used to find the optimalOptimal solution, and case studies are carried out to verify the proposed method. In addition, simulations based on RoboDK under different scenarios are also conducted to show the effectiveness of the proposed method.