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Production management --- Production engineering --- Production management. --- Production engineering. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Manufacturing management --- Industrial management --- embedded intelligence --- intelligent manufacturing --- collaborative product design --- smart products --- virtual enterprises --- manufacturing optimisation --- Gestió de la producció --- Enginyeria de la producció --- Gestió de la producció. --- Enginyeria de la producció.
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intelligent manufacturing --- special equipment --- design --- CAD/CAM systems --- Computer integrated manufacturing systems --- Manufacturing processes --- Production engineering --- Systèmes de CFAO --- Productique --- Fabrication --- CAD/CAM systems. --- Computer integrated manufacturing systems. --- Data processing --- Informatique --- Data processing. --- CIM systems --- Manufacturing, Computer integrated --- Computer-aided engineering --- Industrial engineering --- Flexible manufacturing systems --- Computer Aided Design/Computer Aided Manufacturing Systems --- Computer Aided Manufacturing Systems --- Production management --- Automation --- Manufacturing engineering --- Process engineering --- Mechanical engineering --- Industrial processing --- Manufacture --- Process engineering (Manufactures) --- Processes, Manufacturing --- Processing, Industrial --- Production processes --- Industrial arts --- Machine-tools --- Materials
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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.
Technology: general issues --- History of engineering & technology --- manufacturing process --- additive manufacturing --- IoT --- computer systems and networks --- 3D printing --- digital twin --- Industry 4.0 --- pharmaceutical manufacturing --- biopharmaceutical manufacturing --- process modeling --- mixed-integer linear programming --- bin-packing problem --- material requirements planning --- agri-supply chain management --- variable production rate --- optimal resources --- imperfect production --- eco-efficient production --- closed-loop scheduling --- scheduling stability --- optimal control and scheduling --- fouling --- heat exchanger networks --- continuous manufacturing --- bioprocessing --- process systems engineering --- single-use technology --- AGV—Automated Guided Vehicles --- DES—Discrete Event Simulation --- FMS—Flexible Manufacturing Systems --- OEE—Overall Equipment Efficiency --- WCLcWorld Class Logistic --- abrasive water jet --- cutting --- surface quality --- quality prediction --- 3D simulation modeling and analysis --- model implementation --- bottleneck analysis --- production costs --- resource conservation --- smart manufacturing --- edge computing --- machine learning --- blockchain --- Industrial Internet of Things --- inventory management --- supply chain --- multi-echelon --- stochastic programming --- reinforcement learning --- digitalisation --- model-based --- computational engineering --- process simulation --- LNG terminal --- operational optimization --- BOG compressor --- MINLP --- enterprise process architecture --- new technologies integration --- process intelligence --- real-time monitoring --- fault detection --- predictive process adjustment --- vacuum gripper --- sensor data --- Tri-X Intelligence --- cyber-physical systems --- human-cyber systems --- intelligent systems --- intelligent manufacturing --- multi-parametric programming --- explicit MPC --- enterprise-wide optimisation --- set-point tracking --- algebraic geometry --- continuous pharmaceutical manufacturing --- model predictive control --- state estimation --- quality-by-control (QbC) --- glidant effects --- plant-model mismatch --- regional logistics --- low-carbon economy --- cloud model --- comprehensive evaluation --- Beijing-Tianjin-Hebei region --- pharmaceutical manufacture --- uncertainty --- operational flexibility --- operational envelopes --- modeling --- n/a --- AGV-Automated Guided Vehicles --- DES-Discrete Event Simulation --- FMS-Flexible Manufacturing Systems --- OEE-Overall Equipment Efficiency
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Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.
Technology: general issues --- supply chain optimization --- oil and gas supply chain --- maintenance scheduling --- operation planning --- energy --- order picking --- wave planning --- warehouses --- distribution centers --- mixed integer programming --- non-linear programming --- Hadi-Vencheh model --- multiple criteria ABC inventory classification --- nonlinear weighted product model --- building material distributors --- central composite design (CCD) --- Box–Behnken design (BBD) --- optimal cost --- customer service level --- forecasting --- order planning --- inventory management --- resource-constrained project scheduling problem --- discounted cash flow maximization --- milestones payments --- simulated annealing algorithm --- slotting --- storage strategies --- stackability --- SKU --- product family --- heuristic --- metaheuristics --- scheduling --- injection molding --- hospital catering --- production scheduling --- flexible job shop problem --- mathematical model --- genetic algorithm --- local search method --- iterated local search algorithm --- competitive hub location problem --- network design --- food systems --- rural development --- mathematical programming --- crow search --- process planning --- operation sequencing --- precedence constraints --- manufacturing scheduling --- smart manufacturing --- intelligent manufacturing systems --- scheduling requirements --- cyber-physical production systems --- postman delivery --- vehicle routing problem --- particle swarm optimization algorithm --- differential evolution algorithm --- multi-criteria optimization --- simulation optimization --- production control --- multiple flexible job shop scheduling --- priority rules --- smart health care systems --- planning --- logistic systems --- benchmark --- workload balancing --- identical parallel machines --- normalized sum of square for workload deviations --- maximum completion time --- minimum completion time --- terminal location --- intermodal transportation --- simulated annealing --- mixed integer program --- incomplete networks --- n/a --- Box-Behnken design (BBD)
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Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.
supply chain optimization --- oil and gas supply chain --- maintenance scheduling --- operation planning --- energy --- order picking --- wave planning --- warehouses --- distribution centers --- mixed integer programming --- non-linear programming --- Hadi-Vencheh model --- multiple criteria ABC inventory classification --- nonlinear weighted product model --- building material distributors --- central composite design (CCD) --- Box–Behnken design (BBD) --- optimal cost --- customer service level --- forecasting --- order planning --- inventory management --- resource-constrained project scheduling problem --- discounted cash flow maximization --- milestones payments --- simulated annealing algorithm --- slotting --- storage strategies --- stackability --- SKU --- product family --- heuristic --- metaheuristics --- scheduling --- injection molding --- hospital catering --- production scheduling --- flexible job shop problem --- mathematical model --- genetic algorithm --- local search method --- iterated local search algorithm --- competitive hub location problem --- network design --- food systems --- rural development --- mathematical programming --- crow search --- process planning --- operation sequencing --- precedence constraints --- manufacturing scheduling --- smart manufacturing --- intelligent manufacturing systems --- scheduling requirements --- cyber-physical production systems --- postman delivery --- vehicle routing problem --- particle swarm optimization algorithm --- differential evolution algorithm --- multi-criteria optimization --- simulation optimization --- production control --- multiple flexible job shop scheduling --- priority rules --- smart health care systems --- planning --- logistic systems --- benchmark --- workload balancing --- identical parallel machines --- normalized sum of square for workload deviations --- maximum completion time --- minimum completion time --- terminal location --- intermodal transportation --- simulated annealing --- mixed integer program --- incomplete networks --- n/a --- Box-Behnken design (BBD)
Choose an application
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.
manufacturing process --- additive manufacturing --- IoT --- computer systems and networks --- 3D printing --- digital twin --- Industry 4.0 --- pharmaceutical manufacturing --- biopharmaceutical manufacturing --- process modeling --- mixed-integer linear programming --- bin-packing problem --- material requirements planning --- agri-supply chain management --- variable production rate --- optimal resources --- imperfect production --- eco-efficient production --- closed-loop scheduling --- scheduling stability --- optimal control and scheduling --- fouling --- heat exchanger networks --- continuous manufacturing --- bioprocessing --- process systems engineering --- single-use technology --- AGV—Automated Guided Vehicles --- DES—Discrete Event Simulation --- FMS—Flexible Manufacturing Systems --- OEE—Overall Equipment Efficiency --- WCLcWorld Class Logistic --- abrasive water jet --- cutting --- surface quality --- quality prediction --- 3D simulation modeling and analysis --- model implementation --- bottleneck analysis --- production costs --- resource conservation --- smart manufacturing --- edge computing --- machine learning --- blockchain --- Industrial Internet of Things --- inventory management --- supply chain --- multi-echelon --- stochastic programming --- reinforcement learning --- digitalisation --- model-based --- computational engineering --- process simulation --- LNG terminal --- operational optimization --- BOG compressor --- MINLP --- enterprise process architecture --- new technologies integration --- process intelligence --- real-time monitoring --- fault detection --- predictive process adjustment --- vacuum gripper --- sensor data --- Tri-X Intelligence --- cyber-physical systems --- human-cyber systems --- intelligent systems --- intelligent manufacturing --- multi-parametric programming --- explicit MPC --- enterprise-wide optimisation --- set-point tracking --- algebraic geometry --- continuous pharmaceutical manufacturing --- model predictive control --- state estimation --- quality-by-control (QbC) --- glidant effects --- plant-model mismatch --- regional logistics --- low-carbon economy --- cloud model --- comprehensive evaluation --- Beijing-Tianjin-Hebei region --- pharmaceutical manufacture --- uncertainty --- operational flexibility --- operational envelopes --- modeling --- n/a --- AGV-Automated Guided Vehicles --- DES-Discrete Event Simulation --- FMS-Flexible Manufacturing Systems --- OEE-Overall Equipment Efficiency
Choose an application
Although planning and scheduling optimization have been explored in the literature for many years now, it still remains a hot topic in the current scientific research. The changing market trends, globalization, technical and technological progress, and sustainability considerations make it necessary to deal with new optimization challenges in modern manufacturing, engineering, and healthcare systems. This book provides an overview of the recent advances in different areas connected with operations research models and other applications of intelligent computing techniques used for planning and scheduling optimization. The wide range of theoretical and practical research findings reported in this book confirms that the planning and scheduling problem is a complex issue that is present in different industrial sectors and organizations and opens promising and dynamic perspectives of research and development.
Technology: general issues --- supply chain optimization --- oil and gas supply chain --- maintenance scheduling --- operation planning --- energy --- order picking --- wave planning --- warehouses --- distribution centers --- mixed integer programming --- non-linear programming --- Hadi-Vencheh model --- multiple criteria ABC inventory classification --- nonlinear weighted product model --- building material distributors --- central composite design (CCD) --- Box-Behnken design (BBD) --- optimal cost --- customer service level --- forecasting --- order planning --- inventory management --- resource-constrained project scheduling problem --- discounted cash flow maximization --- milestones payments --- simulated annealing algorithm --- slotting --- storage strategies --- stackability --- SKU --- product family --- heuristic --- metaheuristics --- scheduling --- injection molding --- hospital catering --- production scheduling --- flexible job shop problem --- mathematical model --- genetic algorithm --- local search method --- iterated local search algorithm --- competitive hub location problem --- network design --- food systems --- rural development --- mathematical programming --- crow search --- process planning --- operation sequencing --- precedence constraints --- manufacturing scheduling --- smart manufacturing --- intelligent manufacturing systems --- scheduling requirements --- cyber-physical production systems --- postman delivery --- vehicle routing problem --- particle swarm optimization algorithm --- differential evolution algorithm --- multi-criteria optimization --- simulation optimization --- production control --- multiple flexible job shop scheduling --- priority rules --- smart health care systems --- planning --- logistic systems --- benchmark --- workload balancing --- identical parallel machines --- normalized sum of square for workload deviations --- maximum completion time --- minimum completion time --- terminal location --- intermodal transportation --- simulated annealing --- mixed integer program --- incomplete networks
Choose an application
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.
Technology: general issues --- History of engineering & technology --- manufacturing process --- additive manufacturing --- IoT --- computer systems and networks --- 3D printing --- digital twin --- Industry 4.0 --- pharmaceutical manufacturing --- biopharmaceutical manufacturing --- process modeling --- mixed-integer linear programming --- bin-packing problem --- material requirements planning --- agri-supply chain management --- variable production rate --- optimal resources --- imperfect production --- eco-efficient production --- closed-loop scheduling --- scheduling stability --- optimal control and scheduling --- fouling --- heat exchanger networks --- continuous manufacturing --- bioprocessing --- process systems engineering --- single-use technology --- AGV-Automated Guided Vehicles --- DES-Discrete Event Simulation --- FMS-Flexible Manufacturing Systems --- OEE-Overall Equipment Efficiency --- WCLcWorld Class Logistic --- abrasive water jet --- cutting --- surface quality --- quality prediction --- 3D simulation modeling and analysis --- model implementation --- bottleneck analysis --- production costs --- resource conservation --- smart manufacturing --- edge computing --- machine learning --- blockchain --- Industrial Internet of Things --- inventory management --- supply chain --- multi-echelon --- stochastic programming --- reinforcement learning --- digitalisation --- model-based --- computational engineering --- process simulation --- LNG terminal --- operational optimization --- BOG compressor --- MINLP --- enterprise process architecture --- new technologies integration --- process intelligence --- real-time monitoring --- fault detection --- predictive process adjustment --- vacuum gripper --- sensor data --- Tri-X Intelligence --- cyber-physical systems --- human-cyber systems --- intelligent systems --- intelligent manufacturing --- multi-parametric programming --- explicit MPC --- enterprise-wide optimisation --- set-point tracking --- algebraic geometry --- continuous pharmaceutical manufacturing --- model predictive control --- state estimation --- quality-by-control (QbC) --- glidant effects --- plant-model mismatch --- regional logistics --- low-carbon economy --- cloud model --- comprehensive evaluation --- Beijing-Tianjin-Hebei region --- pharmaceutical manufacture --- uncertainty --- operational flexibility --- operational envelopes --- modeling
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Mechanical engineering --- Engineering --- Automobile and Transportation --- Cryotechnology --- General and Others --- Mechanical Engineering --- Engineering, Mechanical --- robotics --- intelligent manufacturing technology --- advanced transportation equipment --- ocean engineering equipment --- smart materials --- Mechanical engineering. --- China. --- Machinery --- Steam engineering --- KNR --- PR China --- RRC --- RRT --- Sin --- VRChina --- Zhongguo --- Zhonghua Renmin Gongheguo --- Bu̇gd Naĭramdakh Dundad Ard Uls --- Bu̇gu̇de Nayiramdaqu Dumdadu Arad Ulus --- Bu̇gu̇de Nayiramdaxu Dundadu Arad Ulus --- Catay --- Cathay --- Central Government of the People's Republic of China --- Central People's Government of Communist China --- China --- Chine --- Chinese National Government --- Chinese People's Republic --- Chūka Jinmin Kyōwakoku --- Chung-hua chung yang jen min kung ho kuo --- Chung-hua jen min kung ho kuo --- Chung-hua min kuo --- Chung-kuo --- Chung-kuo kuo min cheng fu --- Chung yang jen min cheng fu --- Cina --- Činská lidová republika --- Dumdad Uls --- Dumdadu Ulus --- Erets Sin --- Jhonggu --- Jumhūriyat al-Ṣīn al-Shaʻbīyah --- Khi͡atad --- Kínai Népköztársaság --- Kin --- Kitad --- Kita --- Kitaĭskai͡a Narodnai͡a Respublika --- Kitajska --- Kytaĭsʹka Narodna Respublika --- National Government --- P.R. China --- People's Republic of China --- Republic --- Republic of China --- República Popular China --- Republik Rakjat Tiongkok --- République Populaire de Chine --- Sāthāranarat Prachāchon Čhīn --- VR China --- Zhong guo --- Zhong hua ren min gong he guo --- Zhonghuaminguo --- 1949 --- -Bu̇gd Naĭramdakh Dundad Ard Uls --- Chung-kuo min chêng fu --- Hydraulic energy --- Engineering sciences. Technology --- engineering --- elektronica --- electronics --- mechanica --- mechanics --- fabricage --- manufacture --- Mechanical and Electronic Engineering --- Werktuigbouwkunde en elektrotechniek --- -BNKhAU --- P.R.C. --- PRC --- Génie mécanique --- Enginyeria mecànica --- Xina --- Enginyeria mecànica. --- Xina.
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