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This book provides basic tools for learning how to model in mathematical programming, from models without much complexity to complex system models. It presents a unique methodology for the building of an integral mathematical model, as well as new techniques that help build under own criteria. It allows readers to structure models from the elements and variables to the constraints, a basic modelling guide for any system with a new scheme of variables, a classification of constraints and also a set of rules to model specifications stated as logical propositions, helping to better understand models already existing in the literature. It also presents the modelling of all possible objectives that may arise in optimization problems regarding the variables values. The book is structured to guide the reader in an orderly manner, learning of the components that the methodology establishes in an optimization problem. The system includes the elements, which are all the actors that participate in the system, decision activities that occur in the system, calculations based on the decision activities, specifications such as regulations, impositions or actions of defined value and objective criterion, which guides the resolution of the system.

Operations research. --- Decision making. --- Management science. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Decision making --- Mathematical models. --- Models, Mathematical --- Simulation methods

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“Okada’s book is a much welcome contribution to studies on the management of knowledge-intensive organizations. A unique focus on urban resilience allows her to recognize the key emerging trends in collaborative society and citizen science movements, and describe the key new technologies and strategies needed to address them”. ---- Dariusz Jemielniak, Head, MINDS (Management in Networked and Digital Societies) Department, Kozminski University, Poland, Faculty Associate, Berkman-Klein Center for Internet and Society, Harvard University, USA, and co-author of Collaborative Society (2020). This book examines what mechanisms enable science-intensive organizations to broaden beneficiaries of science in urban settings. Focusing on organizations that constitute urban resilience systems and networks, it maps the contributions of academic institutions, established multinationals, and entrepreneur firms in environmental, material, and related life sciences. It then develops a model of strategy and governance for organizations to invest in and implement new environmental material science projects. This book provides researchers with a framework based on management theories of R&D and resource allocation for resolving urban issues. Ellie Okada long served as a professor of management who continues to specialize in management theory. Former visiting scholar at Harvard University’s Weatherhead Center for International Affairs and Columbia Business School, she worked for a research university in Japan, Yokohama National University, as a tenured full professor for over 24 years. She is Senior Academic Fellow, President, and Founder of the Boston Cancer Policy Institute, a research institute of management in new social science.

Management. --- Entrepreneurship. --- Organization. --- Planning. --- Knowledge management. --- Knowledge Management. --- Management of knowledge assets --- Management --- Information technology --- Intellectual capital --- Organizational learning --- Creation (Literary, artistic, etc.) --- Executive ability --- Organization --- Organisation --- Entrepreneur --- Intrapreneur --- Capitalism --- Business incubators --- Administration --- Industrial relations --- Research --- Research institutes --- Institutes, Research --- Research centers --- Think tanks --- Universities and colleges --- Learned institutions and societies --- Research management

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Dynamic programming (DP) has a relevant history as a powerful and flexible optimization principle, but has a bad reputation as a computationally impractical tool. This book fills a gap between the statement of DP principles and their actual software implementation. Using MATLAB throughout, this tutorial gently gets the reader acquainted with DP and its potential applications, offering the possibility of actual experimentation and hands-on experience. The book assumes basic familiarity with probability and optimization, and is suitable to both practitioners and graduate students in engineering, applied mathematics, management, finance and economics.

Operations research. --- Decision making. --- Management science. --- Economic theory. --- Numerical analysis. --- Economics, Mathematical . --- Engineering economics. --- Engineering economy. --- Operations Research/Decision Theory. --- Operations Research, Management Science. --- Economic Theory/Quantitative Economics/Mathematical Methods. --- Numerical Analysis. --- Quantitative Finance. --- Engineering Economics, Organization, Logistics, Marketing. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Economics --- Mathematical economics --- Econometrics --- Mathematics --- Mathematical analysis --- Economic theory --- Political economy --- Social sciences --- Economic man --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Methodology --- Decision making --- Dynamic programming. --- Methodology. --- Mathematical optimization --- Programming (Mathematics) --- Systems engineering --- Econometrics. --- Industrial Management. --- Operations Research and Decision Theory. --- Operations Research, Management Science . --- Quantitative Economics. --- Mathematics in Business, Economics and Finance. --- Mathematics. --- Economics, Mathematical --- Statistics --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business --- Industrial organization

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This book is focused on quality management, and four different lenses which can be used to explore the phenomenon. It introduces emergence as a paradigm in thinking about quality, and explores conditions which are beneficial to radical innovation. The Emergence Paradigm in Quality Management provides an overview of the existing movements in thinking about quality, and discusses why these movements in fact represent paradigms. Three paradigms, the Empirical Paradigm, the Reference Paradigm and the Reflective Paradigm, are explained followed by a search for the Fourth Paradigm, the so-called Emergence Paradigm, which presents a route to radical innovation in organizations when plans, strategies and models fail. It presents the debates around the paradigms, and explores which is the best approach. This professional text will be ideal for strategy and policy makers wanting to establish a link between their conceived plans and the attention for quality, while finding ways to facilitate innovation. Professionals in a range of for-profit and non-profit organizations, including healthcare, will be able to expand their knowledge on quality management, operations management, and organizational studies.

Engineering economics. --- Engineering economy. --- Philosophy and science. --- Operations research. --- Management science. --- Engineering Economics, Organization, Logistics, Marketing. --- Philosophy of Science. --- Operations Research, Management Science. --- Quantitative business analysis --- Management --- Problem solving --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Science and philosophy --- Science --- Economy, Engineering --- Engineering economics --- Quality control. --- Factory management --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products

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This book introduces readers to the novel concept of spherical fuzzy sets, showing how these sets can be applied in practice to solve various decision-making problems. It also demonstrates that these sets provide a larger preference volume in 3D space for decision-makers. Written by authoritative researchers, the various chapters cover a large amount of theoretical and practical information, allowing readers to gain an extensive understanding of both the fundamentals and applications of spherical fuzzy sets in intelligent decision-making and mathematical programming.

Computational intelligence. --- Operations research. --- Management science. --- Engineering economics. --- Engineering economy. --- Decision making. --- Computational Intelligence. --- Operations Research, Management Science. --- Engineering Economics, Organization, Logistics, Marketing. --- Operations Research/Decision Theory. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Quantitative business analysis --- Operations research --- Statistical decision --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Decision making