Products related to Processes:
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Supply Chain Analytics : Using Data to Optimise Supply Chain Processes
Supply Chain Analytics introduces the reader to data analytics and demonstrates the value of their effective use in supply chain management.By describing the key supply chain processes through worked examples, and the descriptive, predictive and prescriptive analytic methods that can be applied to bring about improvements to those processes, the book presents a more comprehensive learning experience for the reader than has been offered previously. Key topics are addressed, including optimisation, big data, data mining and cloud computing.The author identifies four core supply chain processes – strategy, design, execution and people – to which the analytic techniques explained can be applied to ensure continuous improvement.Pedagogy to aid learning is incorporated throughout, including an opening section for each chapter explaining the learnings designed for the chapter; worked examples illustrating how each analytic technique works, how it is applied and what to be careful of; tables, diagrams and equations to help ‘visualise’ the concepts and methods covered; chapter case studies; and end-of-chapter review questions and assignment tasks. Providing both management expertise and technical skills, which are essential to decision-makers in the supply chain, this textbook should be essential reading for advanced undergraduate and postgraduate students of supply chain analytics, supply chain leadership, and supply chain and operations management.Its practice-based and applied approach also makes it valuable for operating supply chain practitioners and those studying for professional qualifications. Online resources include chapter-by-chapter PowerPoint slides, tutorial exercises, written assignments and a test bank of exam questions.
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Stationary Processes and Discrete Parameter Markov Processes
This textbook explores two distinct stochastic processes that evolve at random: weakly stationary processes and discrete parameter Markov processes.Building from simple examples, the authors focus on developing context and intuition before formalizing the theory of each topic.This inviting approach illuminates the key ideas and computations in the proofs, forming an ideal basis for further study. After recapping the essentials from Fourier analysis, the book begins with an introduction to the spectral representation of a stationary process.Topics in ergodic theory follow, including Birkhoff's Ergodic Theorem and an introduction to dynamical systems.From here, the Markov property is assumed and the theory of discrete parameter Markov processes is explored on a general state space.Chapters cover a variety of topics, including birth-death chains, hitting probabilities and absorption, the representation of Markov processes as iterates of random maps, and large deviation theory for Markov processes.A chapter on geometric rates of convergence to equilibrium includes a splitting condition that captures the recurrence structure of certain iterated maps in a novel way.A selection of special topics concludes the book, including applications of large deviation theory, the FKG inequalities, coupling methods, and the Kalman filter. Featuring many short chapters and a modular design, this textbook offers an in-depth study of stationary and discrete-time Markov processes.Students and instructors alike will appreciate the accessible, example-driven approach and engaging exercises throughout.A single, graduate-level course in probability is assumed.
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Diffusion Processes, Jump Processes, and Stochastic Differential Equations
Diffusion Processes, Jump Processes, and Stochastic Differential Equations provides a compact exposition of the results explaining interrelations between di?usion stochastic processes, stochastic di?erential equations and the fractional in?nitesimal operators.The draft of this book has been extensively classroom tested by the author at Case Western Reserve University in a course that enrolled seniors and graduate students majoring in mathematics, statistics, engineering, physics, chemistry, economics and mathematical ?nance.The last topic proved to be particularly popular among students looking for careers on Wall Street and in research organizations devoted to ?nancial problems.Features Quickly and concisely builds from basic probability theory to advanced topics Suitable as a primary text for an advanced course in diffusion processes and stochastic differential equations Useful as supplementary reading across a range of topics.
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A Geography of Infection : Spatial Processes and Patterns in Epidemics and Pandemics
The last half century has witnessed two landmark events in medical history.The 1970s saw euphoria about the defeat of one of humankind's oldest disease scourges with the global eradication of smallpox.To set against this, the 2020s are experiencing the pandemic ravages of new viral diseases, of which COVID-19 is currently the most potent.But it is only the latest of a succession of threats.A Geography of Infection explores the distinctive spatial patterns and processes by which such infectious diseases spread from place to place and can grow from local and regional epidemics into global pandemics.This resource focuses initially on the local scale of doctors' practices and small islands where epidemic outbreaks are slight in the numbers infected and in geographical extent.Such local area studies raise two questions. First, how and where do epidemic diseases emerge and second, why do more diseases appear to be emerging now?To approach such questions implies a shift in spatial gear from painting epidemics with a fine-tipped local brush to an expanded palette on which doctors' practices and small islands are replaced by regional and global populations.Simultaneously, time bands are extended backwards to the origins of civilization and forwards into the twenty-first century.It eventually leads to a consideration of global pandemics - both historical (for example, plague, cholera and influenza) and contemporary (HIV/AIDS and COVID-19) and examines the ways the spread of infection can be prevented.All chapters are extensively illustrated with full-colour diagrams and maps - some of which are in colour for the first time.Bringing together the authors' collective 150 years of experience in research, mapping, and writing on spatial aspects of medical history, this is an invaluable resource for anyone interested in the spread, control, and eradication of epidemic and pandemic diseases.
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What are maturation processes and learning processes?
Maturation processes refer to the natural biological development and growth that occurs in an individual over time. These processes are largely influenced by genetics and occur without direct instruction or external influence. On the other hand, learning processes involve the acquisition of new knowledge, skills, or behaviors through experiences, instruction, and practice. Learning processes are influenced by environmental factors, social interactions, and cognitive development. Both maturation processes and learning processes play important roles in an individual's overall development and ability to adapt to their environment.
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What is spatial visualization ability?
Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.
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Is spatial visualization important for engineers?
Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.
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What is the difference between LMI processes and LMN processes?
LMI (Linear Matrix Inequality) processes and LMN (Linear Matrix Norm) processes are both used in control theory to analyze and design control systems. The main difference between the two is that LMI processes focus on finding solutions to a set of linear matrix inequalities, while LMN processes focus on analyzing the norms of linear matrix equations. LMI processes are used to solve optimization problems and design robust control systems, while LMN processes are used to analyze the stability and performance of control systems. In summary, LMI processes are more focused on optimization and design, while LMN processes are more focused on analysis and stability.
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Sustainable Manufacturing Processes
Sustainable Manufacturing Processes provides best practice advice on sustainable manufacturing methods, with examples from industry as well as important supporting theory.In the current manufacturing industry, processes and materials are developed with close reference to sustainability issues, with an outward look to optimum production efficiency and reduced environmental impact.Important topics such as the use of renewable energy, reduction of material waste and recycling, reduction in energy and water consumption, and reduction in emissions are all discussed, along with broad coverage of deformation and joining technologies, computational techniques, and computer-aided engineering.In addition, a wide range of traditional and innovative manufacturing technologies are covered, including friction stir welding, incremental forming, abrasive water jet machining, laser beam machining, sustainable foundry, porous material fabrication by powder metallurgy, laser and additive manufacturing, and thermoelectric and thermomagnetic energy harvesting.
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Language Planning Processes
CONTRIBUTIONS TO THE SOCIOLOGY OF LANGUAGE brings to students, researchers and practitioners in all of the social and language-related sciences carefully selected book-length publications dealing with sociolinguistic theory, methods, findings and applications. It approaches the study of language in society in its broadest sense, as a truly international and interdisciplinary field in which various approaches, theoretical and empirical, supplement and complement each other. The series invites the attention of linguists, language teachers of all interests, sociologists, political scientists, anthropologists, historians etc. to the development of the sociology of language.
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Basic Stochastic Processes
This book presents basic stochastic processes, stochastic calculus including Lévy processes on one hand, and Markov and Semi Markov models on the other.From the financial point of view, essential concepts such as the Black and Scholes model, VaR indicators, actuarial evaluation, market values, fair pricing play a central role and will be presented. The authors also present basic concepts so that this series is relatively self-contained for the main audience formed by actuaries and particularly with ERM (enterprise risk management) certificates, insurance risk managers, students in Master in mathematics or economics and people involved in Solvency II for insurance companies and in Basel II and III for banks.
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Introduction to Stochastic Processes
Emphasizing fundamental mathematical ideas rather than proofs, Introduction to Stochastic Processes, Second Edition provides quick access to important foundations of probability theory applicable to problems in many fields.Assuming that you have a reasonable level of computer literacy, the ability to write simple programs, and the access to software for linear algebra computations, the author approaches the problems and theorems with a focus on stochastic processes evolving with time, rather than a particular emphasis on measure theory. For those lacking in exposure to linear differential and difference equations, the author begins with a brief introduction to these concepts.He proceeds to discuss Markov chains, optimal stopping, martingales, and Brownian motion.The book concludes with a chapter on stochastic integration.The author supplies many basic, general examples and provides exercises at the end of each chapter. New to the Second Edition:Expanded chapter on stochastic integration that introduces modern mathematical finance Introduction of Girsanov transformation and the Feynman-Kac formula Expanded discussion of Itô's formula and the Black-Scholes formula for pricing options New topics such as Doob's maximal inequality and a discussion on self similarity in the chapter on Brownian motionApplicable to the fields of mathematics, statistics, and engineering as well as computer science, economics, business, biological science, psychology, and engineering, this concise introduction is an excellent resource both for students and professionals.
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What is the difference between heat treatment processes and hardening processes?
Heat treatment processes refer to a range of techniques used to alter the physical and sometimes chemical properties of a material, typically through heating and cooling. This can include processes such as annealing, tempering, and quenching. Hardening processes, on the other hand, specifically refer to the heat treatment technique used to increase the hardness of a material, typically through heating and then rapidly cooling, or quenching, the material. In essence, hardening is a specific type of heat treatment process focused on increasing the hardness of a material, while heat treatment processes encompass a broader range of techniques aimed at altering various properties of a material.
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Can one improve their spatial visualization skills?
Yes, it is possible to improve spatial visualization skills through practice and training. Engaging in activities such as puzzles, building models, and playing spatial reasoning games can help develop these skills. Additionally, practicing mental rotation exercises and regularly challenging oneself with spatial tasks can also contribute to improvement. With consistent effort and dedication, individuals can enhance their spatial visualization abilities over time.
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What are problems with spatial visualization skills?
Some problems with spatial visualization skills include difficulty in understanding and interpreting maps, graphs, and diagrams. Individuals with poor spatial visualization skills may struggle with tasks such as navigating through unfamiliar environments, understanding 3D objects, and mentally rotating objects. This can impact their performance in subjects such as math, science, and engineering, as well as in everyday activities such as driving and assembling furniture. Additionally, poor spatial visualization skills can lead to frustration and decreased confidence in one's abilities.
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What are warehouse processes?
Warehouse processes refer to the series of activities and operations involved in the management and movement of goods within a warehouse. These processes include receiving, storing, picking, packing, and shipping of products. Additionally, warehouse processes also involve inventory management, order fulfillment, and maintaining the overall organization and efficiency of the warehouse. These processes are crucial for ensuring the smooth and accurate flow of goods in and out of the warehouse, ultimately contributing to the success of the supply chain and customer satisfaction.
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