Dynamic modeling and control of supply chain systems: A review

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The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain (2017, background): “On the other hand, the negative facet is independent decision making, which may result in delays and forecasting error caused by demand uncertainty, lead-time uncertainty, and different management philosophies and objectives between players in the chain (Sarimveis et al., 2008).”
A dynamic model and an algorithm for short-term supply chain scheduling in the smart factory industry 4.0 (2016, background): “The studies by Sarimveis et al. (2008) and Harjunkoski et al. (2014) showed a wide range of advantages regarding the application of control-theoretic models in combination with other techniques to production and logistics.”
Tactical supply chain planning under a carbon tax policy scheme: A case study (2015, background): “These more proactive and competitively oriented opportunities may still be relatively short-sighted due to an internal and direct cost focus only (Sarimveis et al., 2008).”
Exploring the oscillatory dynamics of a forbidden returns inventory system (2014, unknown): “The expected work-in-process is a multiple T p of expected demand, (cid:5) (cid:5) t p t w T d  (Sarimveis et al. , 2008).”