Robotic Disassembly Sequence Planning and Line Balancing—Research Trends Review and Bibliometric Analysis

Remanufacturing offers benefits to the environment, society, and the economy. Disassembly is the first and most critical operation in remanufacturing. With advancing technology and increasing labour costs, there has been an interest in automating disassembly. Robotic disassembly sequence planning and line balancing are two extensively studied topics in this area. This article establishes a connection between robotic disassembly sequence planning and line balancing and identifies trends through an extensive literature review and bibliometric analysis, shedding light on the research landscape. The findings reveal significant gaps in the literature. While artificial intelligence and machine learning are used in robotic disassembly sequence planning, their integration into robotic disassembly line balancing remains unexplored. Robotic disassembly sequence planning predominantly uses a single-objective approach, while robotic disassembly line balancing adopts a multiobjective nondominated approach, with the genetic algorithm, evolutionary algorithm, and bees algorithm as the most commonly used metaheuristics. These results offer insights and directions for further research in this domain.