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ON APPLICABILITY OF OPTIMAL CONTROL THEORY TO ADAPTIVE SUPPLY CHAIN PLANNING AND SCHEDULING

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References

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2003Understanding supply chain management: critical research and a theoretical framework

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700 cited

2003The impact of information enrichment on the Bullwhip effect in supply chains: A control engineering perspective463 cited

Cited by

2015Structural quantification of the ripple effect in the supply chain157 cited
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2014Integration of aggregate distribution and dynamic transportation planning in a supply chain with capacity disruptions and the ripple effect consideration77 cited
2016Global sensitivity analysis and aggregation of risk in multi-product supply chain networks63 cited
2014Information management strategies and supply chain performance under demand disruptions61 cited
2014Supply chain resilience: a state-of-the-art review and research directions59 cited
2018Advances in stochastic programming and robust optimization for supply chain planning57 cited
2012Structure dynamics control approach to supply chain planning and adaptation53 cited
2012The inter‐disciplinary modelling of supply chains in the context of collaborative multi‐structural cyber‐physical networks44 cited
2014Quantifying and mitigating the bullwhip effect in a benchmark supply chain system by an extended prediction self-adaptive control ordering policy44 cited
2018A Distributed Model Predictive Control Strategy for the Bullwhip Reducing Inventory Management Policy39 cited
2021Measuring and eliminating the bullwhip in closed loop supply chains using control theory and Internet of Things37 cited
2014Integrated dynamic scheduling of material flows and distributed information services in collaborative cyber-physical supply networks34 cited
2018CONTROL THEORY APPLICATIONS TO OPERATIONS SYSTEMS, SUPPLY CHAIN MANAGEMENT AND INDUSTRY 4.0 NETWORKS31 cited
2021Neural Network for a Novel Disturbance Optimal Control Model for Inventory and Production Planning in a Four-Echelon Supply Chain with Reverse Logistic18 cited
2018Reducing the Bullwhip effect in a supply chain network by application of optimal control theory17 cited