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In the modern world, the competitiveness of bioenergy- and/or bioresources-related activities heavily depends on the effectiveness of supply chain management. A large number of multidisciplinary topics are involved in the bioresources and bioenergy production fields. Although the technical issues that are related with the topic are well-discussed and do not represent major barriers, supply chain management issues, such as design of the network, collection, storage or transportation of bioresources, are still considered as fundamental questions that need to be answered to enable the optimal exploitation of bioenergy and bioresources. Moreover, modeling of material and energy flows; identification of the dynamic character of the supply chains; available reverse logistics (waste management) alternatives; economic, social and environmental sustainability of bioresource supply chains; novelty in the applied business models; and decision support frameworks towards efficient supply chain management for bioenergy and bioresources present critical operational sustainability issues and business-making potential. This Special Issue, entitled “Supply Chain Management for Bioenergy and Bioresources”, seeks to contribute to the bioenergy and bioresources agenda through enhanced scientific and multi-disciplinary knowledge that may boost the performance efficiency of supply chain management and support the decision-making process of stakeholders. To that end, the Special Issue includes one extensive review on yellow and woody biomass supply-chain management, together with six original papers which span a number of innovative, multifaceted, technical developments that are related to all different echelons of supply chain management for bioenergy and bioresources.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In the modern world, the competitiveness of bioenergy- and/or bioresources-related activities heavily depends on the effectiveness of supply chain management. A large number of multidisciplinary topics are involved in the bioresources and bioenergy production fields. Although the technical issues that are related with the topic are well-discussed and do not represent major barriers, supply chain management issues, such as design of the network, collection, storage or transportation of bioresources, are still considered as fundamental questions that need to be answered to enable the optimal exploitation of bioenergy and bioresources. Moreover, modeling of material and energy flows; identification of the dynamic character of the supply chains; available reverse logistics (waste management) alternatives; economic, social and environmental sustainability of bioresource supply chains; novelty in the applied business models; and decision support frameworks towards efficient supply chain management for bioenergy and bioresources present critical operational sustainability issues and business-making potential. This Special Issue, entitled “Supply Chain Management for Bioenergy and Bioresources”, seeks to contribute to the bioenergy and bioresources agenda through enhanced scientific and multi-disciplinary knowledge that may boost the performance efficiency of supply chain management and support the decision-making process of stakeholders. To that end, the Special Issue includes one extensive review on yellow and woody biomass supply-chain management, together with six original papers which span a number of innovative, multifaceted, technical developments that are related to all different echelons of supply chain management for bioenergy and bioresources.

Research & information: general --- Biology, life sciences --- Technology, engineering, agriculture --- supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction --- supply-chain design --- strategic planning --- operational planning --- energy crop production --- crop residue --- dry above ground biomass --- soybean --- empirical models --- bilinear regression analysis --- agricultural operations --- energy use --- assessment tool --- workability --- machinery --- agricultural machinery --- fleet management --- auto-steering system --- collaborative operating system --- flow-shop --- simulation --- field experiment --- Fuzzy Cognitive Maps --- photovoltaic solar energy --- scenario analysis --- decision-support --- energy management --- bioenergy --- efficiency of bio-resources --- decision support system --- multi-criteria analysis --- sustainability --- neuro-fuzzy --- ANFIS --- neural networks --- soft computing --- fuzzy cognitive maps --- energy forecasting --- natural gas --- prediction

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This Special Issue addresses the important issue of the energy efficiency of both manufacturing processes and systems. Manufacturing is responsible for one-third of global energy consumption and CO2 emissions. Thus, improving the energy efficiency of production has been the focus of research in recent years. Energy efficiency has begun to be considered as one of the key decision-making attributes for manufacturing. This book includes recent studies on methods for the measurement of energy efficiency, tools and techniques for the analysis and development of improvements with regards to energy consumption, modeling and simulation of energy efficiency, and the integration of green and lean manufacturing. This book presents a breadth of relevant information, material, and knowledge to support research, policy-making, practices, and experience transferability to address the issues of energy efficiency.

History of engineering & technology --- energy consumption --- scheduling approach --- mixed-flow shop --- multi-objective optimisation --- tardiness fine --- energy efficiency --- sustainable machining --- multi-objective optimization --- multi-criteria decision making method --- small quantity cooling lubrication SQCL --- cu nanofluid --- remote laser welding --- energy-efficient process --- machine learning --- welding process --- neural network --- knowledge representation --- fuzzy reasoning Petri net --- energy efficient operation --- manufacturing system --- Manufacturing --- life-cycle assessment --- aluminum --- cast iron --- pulp --- paper --- structural change --- compressed air systems --- energy data analysis --- energy measures --- performance control --- operations --- maintenance --- energy accounting --- laser drilling --- percussion --- trepanning --- productivity --- cost --- material removal rate (MRR) --- specific energy consumption (SEC) --- Taguchi --- hole taper --- IN 718 --- electric discharge machining --- response surface methodology --- sustainability --- surface quality --- microstructure --- multi-criteria decision making --- process planning --- manufacturing energy efficiency --- clean manufacturing --- sustainable manufacturing --- digital manufacturing

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The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Technology: general issues --- process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist-Johnson-Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast-Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist-Johnson-Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast-Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The book documents 25 papers collected from the Special Issue “Advances in Condition Monitoring, Optimization and Control for Complex Industrial Processes”, highlighting recent research trends in complex industrial processes. The book aims to stimulate the research field and be of benefit to readers from both academic institutes and industrial sectors.

Technology: general issues --- process control --- separation --- oil and gas --- control chart --- fuzzy logic --- neutrosophic statistic --- incomplete data --- belief statistic --- gamma distribution --- microalgae --- raceway --- control problem --- PID --- event-based --- flexible flow shop scheduling --- multi-queue limited buffers --- improved compact genetic algorithm --- probability density function of the Gaussian distribution --- transfer bees optimizer --- reinforcement learning --- behavior transfer --- state-action chains --- reactive power optimization --- Holmquist–Johnson–Cook constitutive model of briquette --- parameter acquisition --- split Hopkinson pressure bar experiment --- numerical simulation --- pressure swing distillation --- full-heat integration --- acetonitrile --- water --- distributed model predictive control --- steam power plant --- steam/water loop --- multi-input and multi-output system --- loop design --- optimal nonlinear adaptive control --- memetic salp swarm algorithm --- voltage source converter --- perturbation observer --- hardware experiment --- MIMO temperature control in heating process system --- pole-zero cancelation --- temperature difference --- transient response --- dead time --- slow-mode-based control --- multi-input multi-output (MIMO) temperature system --- temperature differences --- non-pillar --- gob-side entry retaining by roof cutting --- close distance coal seams --- goaf --- stress distribution --- semiconductor bonding equipment-grouping method --- graph theory --- association matrix --- CFSFDP algorithm --- self-learning --- variable geometry turbocharger --- deep reinforcement learning --- deep deterministic policy gradient --- flexible flow shop --- limited buffer --- public buffer --- Hopfield neural network --- local scheduling --- simulated annealing algorithm --- load identification --- EWT --- multiscale fuzzy entropy --- PNN --- Hybrid Attack Graph --- Level-of-Resilience --- stability --- topology --- distributed generation (DG) --- INSGA-II --- multi-objective optimization --- potential crowding distance --- static and dynamic planning --- data-driven methods --- coarse model --- refrigeration --- tunnel boring machine --- roadway supporting --- constitutive model --- failure criterion --- in-situ monitoring --- power systems --- complex network theory --- Fast–Newman algorithm --- link-addition strategy --- cascading failures --- flotation process --- reagent dosage --- time series froth image --- cumulative distribution function --- fault diagnosis --- fault classification --- fast Fourier transform (FFT) --- multi-linear principal component analysis (MPCA) --- uncorrelated multi-linear principal component analysis (UMPCA) --- additive white Gaussian noises (AWGN) --- wind turbine systems --- deviation control --- drilling machine --- nonlinear adaptive backstepping controller disturbance observer --- parameter uncertainties --- wind turbine --- energy conversion systems --- condition monitoring --- fault prognosis --- resilient control --- n/a --- Holmquist-Johnson-Cook constitutive model of briquette --- Fast-Newman algorithm