An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations

Research article (Computers & Chemical Engineering, 2017) · cited 45× · AI/ML
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An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations. Retrieved October 18, 2026, from https://4ort.xyz/entity/an-efficient-milp-framework-for-integrating-nonlinear-process-dynamics-and-control-in-optimal-production-scheduling-calc
MLA “An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 18 Oct. 2026, https://4ort.xyz/entity/an-efficient-milp-framework-for-integrating-nonlinear-process-dynamics-and-control-in-optimal-production-scheduling-calc.
BibTeX @misc{4ortxyz_an-efficient-milp-framework-for-integrating-nonlinear-process-dynamics-and-control-in-optimal-production-scheduling-calc_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An efficient MILP framework for integrating nonlinear process dynamics and control in optimal production scheduling calculations}}, year = {2026}, url = {https://4ort.xyz/entity/an-efficient-milp-framework-for-integrating-nonlinear-process-dynamics-and-control-in-optimal-production-scheduling-calc}, note = {Accessed: 2026-10-18}}
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