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The use of the energy and its resources have changed dramatically in last few decades. The increasing use of technology and electrification increases the demand for energy, with impacts natural energy resources. At present, industries are trying to reduce the direct use of traditional energy by utilizing renewable energy as an alternative energy resource. Recent studies have attempted to optimize consumed energies for entire systems by using alternative energies. These alternatives are different kinds of renewable energies which provide numerous new possibilities to survive without using non-renewable energies. The production industry is moving toward smart production using the technology of the fourth industrial revolution. In this book, energy consumption for production and supply chain management are explained through presentation of some the latest major research advances. These studies collectively contribute new ideas and strategies in enriching the literature.

History of engineering & technology --- energy --- multi-item smart production --- system reliability --- failure rate --- variable development cost --- sustainable electrical energy supply chain --- inventory --- price-dependent demand --- transmission and distribution costs --- carbon-emission --- renewable energy --- smart production system --- random breakdown --- safety stock --- controllable production rate --- healthcare supply chain management --- platelets --- perishability factor --- location-allocation --- sustainable manufacturing system --- multi-item production --- variable holding cost --- inflation --- control theory --- stochastic production capacity --- unreliable production system --- random failure and repair rates --- electrical energy consumption --- supply chain management --- imperfect production --- distribution free approach --- service level constraint --- transportation discount

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The use of the energy and its resources have changed dramatically in last few decades. The increasing use of technology and electrification increases the demand for energy, with impacts natural energy resources. At present, industries are trying to reduce the direct use of traditional energy by utilizing renewable energy as an alternative energy resource. Recent studies have attempted to optimize consumed energies for entire systems by using alternative energies. These alternatives are different kinds of renewable energies which provide numerous new possibilities to survive without using non-renewable energies. The production industry is moving toward smart production using the technology of the fourth industrial revolution. In this book, energy consumption for production and supply chain management are explained through presentation of some the latest major research advances. These studies collectively contribute new ideas and strategies in enriching the literature.

energy --- multi-item smart production --- system reliability --- failure rate --- variable development cost --- sustainable electrical energy supply chain --- inventory --- price-dependent demand --- transmission and distribution costs --- carbon-emission --- renewable energy --- smart production system --- random breakdown --- safety stock --- controllable production rate --- healthcare supply chain management --- platelets --- perishability factor --- location-allocation --- sustainable manufacturing system --- multi-item production --- variable holding cost --- inflation --- control theory --- stochastic production capacity --- unreliable production system --- random failure and repair rates --- electrical energy consumption --- supply chain management --- imperfect production --- distribution free approach --- service level constraint --- transportation discount

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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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The evolution of industrial development since the 18th century is now experiencing the fourth industrial revolution. The effect of the development has propagated into almost every sector of the industry. From inventory to the circular economy, the effectiveness of technology has been fruitful for industry. The recent trends in research, with new ideas and methodologies, are included in this book. Several new ideas and business strategies are developed in the area of the supply chain management, logistics, optimization, and forecasting for the improvement of the economy of the society and the environment. The proposed technologies and ideas are either novel or help modify several other new ideas. Different real life problems with different dimensions are discussed in the book so that readers may connect with the recent issues in society and industry. The collection of the articles provides a glimpse into the new research trends in technology, business, and the environment.

Supply chain management --- benchmarking --- simulation --- mathematical analytic tools and techniques --- system reliability --- Trade-credit financing --- order allocation --- decomposition principle --- efficiency and scatter plots --- sustainable healthcare system --- workplace stress --- optimization --- defective rate --- electric power distribution --- newsvendor --- inspection --- energy --- air quality --- triangular fuzzy number --- quality control --- supplier selection --- multi-stage production system --- robustness --- offline inspection --- workers’ efficiency --- transshipments --- imperfect products --- process imperfection --- Bayesian approach --- imperfect production --- inventory modelling and optimization --- information asymmetry --- supply chain management --- framework for agile distributed development --- human-based production system --- lead-time reduction --- staff absenteeism --- inventory control --- fuzzy analytical hierarchy process (FAHP) --- sustainable --- develop strategies --- fuzzy optimization --- preventive maintenance --- imperfect quality --- refrigerated trucks --- petrochemical industries --- economic order quantity (EOQ) --- defectives --- substitute and complimentary items --- production modelling --- stochastic-petri net modeling --- supply chain inventory --- defective products --- transport infrastructure --- data envelopment analysis --- advertisement --- e-commerce --- price discounts --- recurrent states --- variable demand --- machine breakdown --- industry 4.0 --- rough interval --- partial trade credit --- business performance --- mixed integer nonlinear programming --- fixed charge --- preservation technology investment --- repairable system --- multicriteria decision making (MCDM) --- managerial considerations and managerial decisions --- four-dimensional transportation problem --- time series analysis --- permissible delays in payments --- integer linear programming --- process mean --- backordering --- stochastic-price dependent demand --- controllable probabilistic deterioration rate --- budget constraint --- likelihood ratio test --- radio frequency identification --- rework --- supplier selection process --- deteriorating items --- smart production --- scheduling --- green data envelopment analysis (GDEA) --- Cash discounts --- learning behavior --- imperfect manufacturing system --- inspection cost --- airborne particulate matter --- reworking --- fuzzy demand --- optimal algorithms --- distributed development --- sustainability --- distribution-free approach --- decision support systems --- evolutionary algorithm --- backorder --- inspection errors --- waste reduction --- resilient supply chain --- space constraint --- hybrid manufacturing- remanufacturing strategy --- edible oil --- complementary products --- CLSC management --- carbon emission --- change point detection --- revenue sharing --- production --- random defective rate --- pricing policy --- agile development --- inventory --- mathematical solution procedure --- reliability threshold --- outgoing quality --- disruption risks --- multi-objective --- strict quasi-concavity --- optimized limits --- uncertain information --- full trade credit --- customer acquisition cost --- Lean manufacturing --- imperfect repair --- substitutable products --- dynamic job-shop scheduling --- patient’s queue --- application program interfaces in agile distributed projects --- internet of things --- deterioration --- O2O channel --- targeting model --- lean manufacturing --- multidimensional scaling --- technical and super-efficiencies --- pricing