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This book explores effective environmental impact mitigation for petroleum-based lubricants to reduce their negative persistence during usage and upon end-of-life disposal. The book reviews the basic tribology of lubricants as well as initiatives that may enhance the environmental and economic effectiveness of lubricating oils from the composition design perspective across industries. Considering the blending, application, and disposal of petroleum lubricants in a holistic manner, the book presents and extends current best practices that minimize or eliminate adverse environmental impact throughout the product’s life cycle. The book reviews methods including: raw material substitution, minimizing oil losses during and after manufacturing, raw material and energy consumption reduction, and environmentally friendly applications of oil disposal as ways forward for cleaner and more effective production. This book provides readers with strategies for incorporating cleaner production practices into their operations – a benefit to both environmental legal compliance and business competitiveness – all the while preserving the environment for sustainable development. The book is therefore of interest to both manufacturers and consumers in the lubricants industry.
Materials science. --- Chemical engineering. --- Fluid mechanics. --- Industrial engineering. --- Production engineering. --- Sustainable development. --- Tribology. --- Corrosion and anti-corrosives. --- Coatings. --- Materials Science. --- Tribology, Corrosion and Coatings. --- Industrial and Production Engineering. --- Engineering Fluid Dynamics. --- Industrial Chemistry/Chemical Engineering. --- Sustainable Development. --- Lubrication and lubricants. --- Lubrication and lubricants --- Environmental aspects. --- Grease --- Lubricants --- Tribology --- Bearings (Machinery) --- Lubrication systems --- Oils and fats --- Chemistry, inorganic. --- Hydraulic engineering. --- Development, Sustainable --- Ecologically sustainable development --- Economic development, Sustainable --- Economic sustainability --- ESD (Ecologically sustainable development) --- Smart growth --- Sustainable development --- Sustainable economic development --- Economic development --- Chemistry, Industrial --- Engineering, Chemical --- Industrial chemistry --- Engineering --- Chemistry, Technical --- Metallurgy --- Engineering, Hydraulic --- Fluid mechanics --- Hydraulics --- Shore protection --- Management engineering --- Simplification in industry --- Value analysis (Cost control) --- Inorganic chemistry --- Chemistry --- Inorganic compounds --- Environmental aspects --- Friction --- Surfaces (Technology) --- Hydromechanics --- Continuum mechanics --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Surface coatings --- Materials --- Coating processes --- Thin films --- Anti-corrosive paint --- Atmospheric corrosion --- Metal corrosion --- Metals --- Rust --- Rustless coatings --- Chemical inhibitors --- Fouling --- Weathering --- Paint --- Protective coatings --- Waterproofing --- Corrosion --- Deterioration --- Surfaces
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This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms. Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
Engineering. --- Operations research. --- Decision making. --- Artificial intelligence. --- Management science. --- Computational intelligence. --- Industrial engineering. --- Production engineering. --- Computational Intelligence. --- Operation Research/Decision Theory. --- Artificial Intelligence (incl. Robotics). --- Industrial and Production Engineering. --- Operations Research, Management Science. --- Manufacturing engineering --- Process engineering --- Industrial engineering --- Mechanical engineering --- Management engineering --- Simplification in industry --- Engineering --- Value analysis (Cost control) --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Construction --- Industrial arts --- Technology --- Decision making --- Operations Research/Decision Theory. --- Artificial Intelligence.
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Agricultural wastes --- Agricultural wastes. --- Environmental aspects --- Agricultural by-products --- Agricultural residues --- By-products, Agricultural --- Residues, Agricultural --- Wastes, Agricultural --- Factory and trade waste --- Organic wastes --- Refuse and refuse disposal, Rural
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This book explores effective environmental impact mitigation for petroleum-based lubricants to reduce their negative persistence during usage and upon end-of-life disposal. The book reviews the basic tribology of lubricants as well as initiatives that may enhance the environmental and economic effectiveness of lubricating oils from the composition design perspective across industries. Considering the blending, application, and disposal of petroleum lubricants in a holistic manner, the book presents and extends current best practices that minimize or eliminate adverse environmental impact throughout the product’s life cycle. The book reviews methods including: raw material substitution, minimizing oil losses during and after manufacturing, raw material and energy consumption reduction, and environmentally friendly applications of oil disposal as ways forward for cleaner and more effective production. This book provides readers with strategies for incorporating cleaner production practices into their operations – a benefit to both environmental legal compliance and business competitiveness – all the while preserving the environment for sustainable development. The book is therefore of interest to both manufacturers and consumers in the lubricants industry.
Methodology of economics --- Fluid mechanics --- Physics --- Materials sciences --- Materials processing --- Engineering sciences. Technology --- Production management --- Business management --- Business economics --- Chemical technology --- corrosiepreventie --- tribologie --- materiaalkennis --- milieueffect --- financieel management --- materiaalproductie --- BIT (biochemische ingenieurstechnieken) --- productie --- duurzame ontwikkeling --- ingenieurswetenschappen --- chemische technologie --- vloeistoffen --- corrosie
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This book presents advances and innovations in grouping genetic algorithms, enriched with new and unique heuristic optimization techniques. These algorithms are specially designed for solving industrial grouping problems where system entities are to be partitioned or clustered into efficient groups according to a set of guiding decision criteria. Examples of such problems are: vehicle routing problems, team formation problems, timetabling problems, assembly line balancing, group maintenance planning, modular design, and task assignment. A wide range of industrial grouping problems, drawn from diverse fields such as logistics, supply chain management, project management, manufacturing systems, engineering design and healthcare, are presented. Typical complex industrial grouping problems, with multiple decision criteria and constraints, are clearly described using illustrative diagrams and formulations. The problems are mapped into a common group structure that can conveniently be used as an input scheme to specific variants of grouping genetic algorithms. Unique heuristic grouping techniques are developed to handle grouping problems efficiently and effectively. Illustrative examples and computational results are presented in tables and graphs to demonstrate the efficiency and effectiveness of the algorithms. Researchers, decision analysts, software developers, and graduate students from various disciplines will find this in-depth reader-friendly exposition of advances and applications of grouping genetic algorithms an interesting, informative and valuable resource.
Methodology of economics --- Operational research. Game theory --- Mathematical statistics --- Applied physical engineering --- Engineering sciences. Technology --- Planning (firm) --- Business management --- Business economics --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- financieel management --- mathematische modellen --- speltheorie --- econometrie --- KI (kunstmatige intelligentie) --- operationeel onderzoek --- ingenieurswetenschappen --- AI (artificiële intelligentie)
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Plastic scrap. --- Debris, Plastic --- Plastic debris --- Plastic trash --- Plastic waste --- Plastic wastes --- Scrap plastic --- Secondary plastics --- Trash, Plastic --- Waste plastic --- Scrap materials --- Waste products
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This book discusses sustainable waste management technologies for managing end-of-life (EoL) post-consumer and packaging plastic solid waste (PSW) from domestic and commercial waste streams. It does so particularly in the context of providing a way forward for developing economies. Treating recycling and composting of, and energy recovery from, plastics, the book is directed at individuals who are responsible for or have a significant role in solid waste management. Academics and students in solid waste management pursuing research or study in solid waste management with particular interest in plastics will find this book useful. Sustainable options for managing PSW are presented with reference to the scientific, engineering, and management standpoints to enable decision makers and relevant stakeholders in industry arrive at the best decision for achieving sustainable resource management. The book further integrates waste management and technologies so that PSW recycling can be viewed from environmental, economic, and social perspectives. Greener technologies for PSW management are addressed so as to provide drivers that will influence key stakeholders and policy-makers achieve sustainability in this field.
Economic order --- Economic policy and planning (general) --- Economic conditions. Economic development --- Development aid. Development cooperation --- Developing countries: economic development problems --- Relation between energy and economics --- Applied physical engineering --- Environmental protection. Environmental technology --- energiebeheer (technologie) --- energiemanagement (economie) --- ontwikkelingsbeleid --- fabrieken --- energiebeleid --- energie-economie --- ontwikkelingssamenwerking --- economische ontwikkelingen --- ontwikkelingspolitiek --- afval
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Contributing to research, knowledge, and discourse on humanitarian logistics and supply chains in Africa, Supply Networks in Developing Countriesintroduces a unique perspective on the developing world, and how their supply networks can be enhanced and optimized.
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Engineering --- Study and teaching (Higher) --- Construction --- Industrial arts --- Technology --- Àfrica subsahariana
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Plastic scrap. --- Debris, Plastic --- Plastic debris --- Plastic trash --- Plastic waste --- Plastic wastes --- Scrap plastic --- Secondary plastics --- Trash, Plastic --- Waste plastic --- Scrap materials --- Waste products
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