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Production scheduling of parallel machines with model predictive control |
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| Affiliation: | 1. German Aerospace Center (DLR), Oberpfaffenhofen, Germany;2. AIRBUS Flight Control Systems, Toulouse, France;3. DEIMOS-SPACE S.L.U., Madrid, Spain (now with the University of Bristol);1. University of Bayreuth, Mathematical Institute, Germany;2. Ruhr-University Bochum, Institute of Automation and Computer Control, Germany;1. Federal Technological University of Paraná, Av. Alberto Carazai, 86300-000 Cornélio Procópio, PR, Brazil;2. Department of Automation and Systems - Federal University of Santa Catarina, 88040-900 Florianópolis, SC, Brazil |
| Abstract: | This paper considers the problem of optimizing on-line the production scheduling of a multiple-line production plant composed of parallel equivalent machines which can operate at different speeds corresponding to different energy demands. The transportation lines may differ in length and the energy required to move the part to be processed along them is suitably considered in the computation of the overall energy consumption. The optimal control actions are recursively computed with Model Predictive Control aiming to limit the total energy consumption and maximize the overall production. Simulation results are reported to witness the potentialities of the approach in different scenarios. |
| Keywords: | Model predictive control Receding horizon control Model based control for manufacturing plants Propositional calculus for manufacturing processes Energy efficiency for manufacturing processes |
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