1. Expanding the Horizons of Manufacturing: Towards Wide Integration, Smart Systems and Tools.
- Author
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Puigjaner, Luis, Capón García, Elisabet, Espuña Camarasa, Antonio, Muñoz Mata, Edrisi, and Puigjaner, Luis
- Subjects
History of engineering & technology ,Technology: general issues ,3D printing ,3D simulation modeling and analysis ,AGV-Automated Guided Vehicles ,BOG compressor ,Beijing-Tianjin-Hebei region ,DES-Discrete Event Simulation ,FMS-Flexible Manufacturing Systems ,Industrial Internet of Things ,Industry 4.0 ,IoT ,LNG terminal ,MINLP ,OEE-Overall Equipment Efficiency ,Tri-X Intelligence ,WCLcWorld Class Logistic ,abrasive water jet ,additive manufacturing ,agri-supply chain management ,algebraic geometry ,bin-packing problem ,biopharmaceutical manufacturing ,bioprocessing ,blockchain ,bottleneck analysis ,closed-loop scheduling ,cloud model ,comprehensive evaluation ,computational engineering ,computer systems and networks ,continuous manufacturing ,continuous pharmaceutical manufacturing ,cutting ,cyber-physical systems ,digital twin ,digitalisation ,eco-efficient production ,edge computing ,enterprise process architecture ,enterprise-wide optimisation ,explicit MPC ,fault detection ,fouling ,glidant effects ,heat exchanger networks ,human-cyber systems ,imperfect production ,intelligent manufacturing ,intelligent systems ,inventory management ,low-carbon economy ,machine learning ,manufacturing process ,material requirements planning ,mixed-integer linear programming ,model implementation ,model predictive control ,model-based ,modeling ,multi-echelon ,multi-parametric programming ,n/a ,new technologies integration ,operational envelopes ,operational flexibility ,operational optimization ,optimal control and scheduling ,optimal resources ,pharmaceutical manufacture ,pharmaceutical manufacturing ,plant-model mismatch ,predictive process adjustment ,process intelligence ,process modeling ,process simulation ,process systems engineering ,production costs ,quality prediction ,quality-by-control (QbC) ,real-time monitoring ,regional logistics ,reinforcement learning ,resource conservation ,scheduling stability ,sensor data ,set-point tracking ,single-use technology ,smart manufacturing ,state estimation ,stochastic programming ,supply chain ,surface quality ,uncertainty ,vacuum gripper ,variable production rate - Abstract
Summary: This research topic aims at enterprise-wide modeling and optimization (EWMO) through the development and application of integrated modeling, simulation and optimization methodologies, and computer-aided tools for reliable and sustainable improvement opportunities within the entire manufacturing network (raw materials, production plants, distribution, retailers, and customers) and its components. This integrated approach incorporates information from the local primary control and supervisory modules into the scheduling/planning formulation. That makes it possible to dynamically react to incidents that occur in the network components at the appropriate decision-making level, requiring fewer resources, emitting less waste, and allowing for better responsiveness in changing market requirements and operational variations, reducing cost, waste, energy consumption and environmental impact, and increasing the benefits. More recently, the exploitation of new technology integration, such as through semantic models in formal knowledge models, allows for the capture and utilization of domain knowledge, human knowledge, and expert knowledge toward comprehensive intelligent management. Otherwise, the development of advanced technologies and tools, such as cyber-physical systems, the Internet of Things, the Industrial Internet of Things, Artificial Intelligence, Big Data, Cloud Computing, Blockchain, etc., have captured the attention of manufacturing enterprises toward intelligent manufacturing systems.