Control of key performance indicators of manufacturing production systems through pair-copula modeling and stochastic optimization
Key performance indicators (KPIs) modeling and control is important for efficient design and
operation of complex manufacturing production systems. This paper proposes to implement
the KPI control based on KPI modeling and stochastic optimization. The KPI relationship is
first approximated using ordered block model and pair-copula construction (OBM-PCC)
model, which is a non-parametric model that facilitates a flexible surrogate of the KPI
relationship. Then, the KPI control is framed into a stochastic optimization problem, where …
operation of complex manufacturing production systems. This paper proposes to implement
the KPI control based on KPI modeling and stochastic optimization. The KPI relationship is
first approximated using ordered block model and pair-copula construction (OBM-PCC)
model, which is a non-parametric model that facilitates a flexible surrogate of the KPI
relationship. Then, the KPI control is framed into a stochastic optimization problem, where …
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