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The final product quality is determined by cumulation,coupling and propagation of prod- uct quality variations from all stations in multi-stage manufacturing systems(MMSs).Modeling and control of variation propagation is essential to improve product quality.However,the current stream of variations(SOV) theory can only solve the problem that a single SOV affects the product quality. Due to the existence of multiple variation streams,limited research has been done on the quality con- trol in serial-parallel hybrid multi-stage manufacturing systems(SPH-MMSs).A state space model and its modeling strategies are developed to describe the multiple variation streams stack-up in an SPH-MMS.The SOV theory is extended to SPH-MMS.The dimensions of system model are reduced to the production-reality level,and the effect and feasibility of the model is validated by a machining case.
The final product quality is determined by cumulation, coupling and propagation of prod- uct quality variations from all stations in multi-stage manufacturing systems (MMSs). Modeling and control of variation propagation is essential to improve product quality. However, the current stream of variations (SOV) theory can only solve the problem that a single SOV affects the product quality. Due to the existence of multiple variation streams, limited research has been done on the quality con- trol in serial-parallel hybrid multi-stage manufacturing systems SPH-MMSs). A state space model and its modeling strategies are developed to describe the multiple variation streams stack-up in an SPH-MMS. The SOV theory is extended to SPH-MMS. The dimensions of the system model are reduced to the production -reality level, and the effect and feasibility of the model is validated by a machining case.