Multi-objective optimization of greening scheduling problems of part feeding for mixed model assembly lines based on the robotic mobile fulfillment system

An improved bi-objective salp swarm algorithm based on decomposition for green scheduling in flexible manufacturing cellular environments with multiple automated guided vehicles

“…A set of unary indicators are introduced to evaluate the involved algorithms including the degree of pareto optimality (DPO), generational distance (GD), diversity (Δ) and hyper volume (HV) (Zhou and Zhu 2021b).…”

“…Green scheduling tries to achieve energy saving through scientific planning of activities in the manufacturing systems, in this case, FMCs. For example, Zhou and Zhu (2021b) worked on multi-objective greening scheduling optimization of part feeding for mixed model assembly lines with mobile robots, and proposed a multi-objective disturbance and repair strategy enhanced cohort intelligence (MDRCI) algorithm. Feng et al (2020) studied green scheduling of sustainable flexible workshop considering uncertain machine state, and established a hardware system for intelligent monitoring and diagnosis of machinery to gather required data.…”

“…In view of the NP-hard nature of the BOGSP-FMC, exact methods including dynamic programming, branch & bound and column generation are difficult to find acceptable solutions in a short time, especially when the problem size is large (Zhou and He 2020;Zhou and Zhu 2021a). To solve such complex multi-objective optimization problems in a reasonable time, many novel intelligent optimization algorithms have been developed and successfully applied to production scheduling problems in the literature, such as multi-objective grey wolf optimizer (Mirjalili et al 2016), structure enhanced discrete non-dominated sorting genetic algorithm-II (NSGA-II) (Tan et al 2022) and ant colony optimization (ACO) behavior-based multi-objective evolutionary algorithm based on decomposition (MOEA/D) (Shao et al 2022).…”

Energy Efficient Order Picking Routing for a Pick Support Automated Guided Vehicle (Ps-AGV)

“…Zhang et al [48] proposed a path planning for a single-load AGV in a factory that efficiently uses energy. Some other research works consider energy efficiency for Robotic Mobile Fulfillment Systems (RMFS), such as Li et al [49], Xu et al [50], and Zhou et al [51]. Unlike the picker-to-part system, in RMFS, it is the items that move and not the workers in the factory.…”

Bi-objective green in-house transportation scheduling and fleet size determination in mixed-model assembly lines with mobile robots

“…While tremendous technology advance has been made in energy efficient hardware including vehicles, there require more efforts in supporting software, for instance, scheduling of material handling operations (Zhou and Zhu, 2021). In consequence, it is universally accepted that there is great opportunity in developing intelligent scheduling techniques of material handling systems considering both operational and energy-efficient criterions (Lee and Prabhu, 2016).…”