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Relation between energy and economics --- Energy industries --- Energy policy --- Mathematical models --- Forecasting --- -Energy industries --- -Energy policy --- -620.9 --- Energy and state --- Power resources --- State and energy --- Industrial policy --- Energy conservation --- Industries --- -Mathematical models --- Economics of energy in general --- Government policy --- 620.9 Economics of energy in general --- 620.9 --- Forecasting&delete& --- Energy industries - Mathematical models --- Energy industries - Forecasting - Mathematical models --- Energy policy - Mathematical models --- Energy policy - United States - Mathematical models
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Operational research. Game theory --- Programming (Mathematics) --- Problem Solving --- 519.85 --- Mathematical programming --- 519.85 Mathematical programming
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The book describes advanced business analytics and shows how to apply them to many different professional areas of engineering and management. Each chapter of the book is contributed by a different author and covers a different area of business analytics. The book connects the analytic principles with business practice and provides an interface between the main disciplines of engineering/technology and the organizational, administrative and planning abilities of management. It also refers to other disciplines such as economy, finance, marketing, behavioral economics and risk analysis. This book is of special interest to engineers, economists and researchers who are developing new advances in engineering management but also to practitioners working on this subject.
Economics/Management Science. --- IT in Business. --- Innovation/Technology Management. --- Information Systems Applications (incl. Internet). --- Organization/Planning. --- Operation Research/Decision Theory. --- Industrial Organization. --- Economics. --- Industrial organization (Economic theory). --- Operations research. --- Business planning. --- Economie politique --- Economie industrielle --- Recherche opérationnelle --- Projet d'entreprise --- Industrial organization (Economi. --- Management information systems. --- Commerce --- Business & Economics --- Commerce - General --- Industrial management --- Decision making --- Statistical methods --- Computer programs. --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business. --- Organization. --- Planning. --- Management. --- Industrial management. --- Decision making. --- Information technology. --- Business --- Industrial organization. --- Business and Management. --- Data processing. --- Industries --- Organization --- Industrial concentration --- Industrial sociology --- Electronic data processing --- IT (Information technology) --- Technology --- Telematics --- Information superhighway --- Knowledge management --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Industrial organization --- Administration --- Industrial relations --- Creation (Literary, artistic, etc.) --- Executive ability --- Organisation --- Trade --- Economics --- Operations Research/Decision Theory. --- Business—Data processing. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software
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This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics, finance, marketing and risk analysis. The contributors present their areas of expertise, together with essential case studies that illustrate the successful application of engineering management theories in real-life examples.
Engineering economics. --- Innovation/Technology Management. --- Business. --- Management. --- Industrial management. --- Operations research. --- Decision making. --- Management information systems. --- Operating systems (Computers). --- Engineering economy. --- Business and Management. --- Business Information Systems. --- Engineering Economics, Organization, Logistics, Marketing. --- Operating Systems. --- Operation Research/Decision Theory. --- Big data. --- Database management. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Data sets, Large --- Large data sets --- Data sets --- Operations Research/Decision Theory. --- Administration --- Industrial relations --- Organization --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Economy, Engineering --- Engineering economics --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Operating systems --- Communication systems --- Business administration --- Business enterprises --- Business management --- Corporate management --- Corporations --- Industrial administration --- Management, Industrial --- Rationalization of industry --- Scientific management --- Business --- Industrial organization --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making --- Operating systems (Computers)
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This book combines the analytic principles of digital business and data science with business practice and big data. The interdisciplinary, contributed volume provides an interface between the main disciplines of engineering and technology and business administration. Written for managers, engineers and researchers who want to understand big data and develop new skills that are necessary in the digital business, it not only discusses the latest research, but also presents case studies demonstrating the successful application of data in the digital business.
Operations research. --- Big data. --- Management information systems. --- Statistics. --- Engineering economy. --- Operations Research/Decision Theory. --- Big Data/Analytics. --- Business Information Systems. --- e-Commerce/e-business. --- Statistics for Business, Management, Economics, Finance, Insurance. --- Engineering Economics, Organization, Logistics, Marketing. --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Computer-based information systems --- EIS (Information systems) --- Executive information systems --- MIS (Information systems) --- Sociotechnical systems --- Information resources management --- Management --- Data sets, Large --- Large data sets --- Data sets --- Operational analysis --- Operational research --- Management science --- Research --- System theory --- Communication systems --- Decision making. --- E-commerce. --- Statistics . --- Engineering economics. --- Cybercommerce --- E-business --- E-commerce --- E-tailing --- eBusiness --- eCommerce --- Electronic business --- Internet commerce --- Internet retailing --- Online commerce --- Web retailing --- Commerce --- Information superhighway --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Problem solving --- Decision making
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This book provides relevant theoretical frameworks and the latest empirical research findings of Operations Research/Management Science applied to Internet of Things. This book identifies and describes ways in which OR and MS have been applied and influenced the development of IoT. Examples are from smart industry; city; transportation; home and smart devices. It discusses future applications, trends, and potential benefits of this new discipline. It is written for professionals who want to improve their understanding of the strategic role of IoT at various levels of the organization, that is, IoT at the global economy level, at networks and organizations level, at teams and work groups, at information systems and, finally, IoT at the level of individuals, as players in the networked environments. .
Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Business management --- Information systems --- bedrijfseconomie --- management --- mathematische modellen --- econometrie --- operationeel onderzoek --- informatica management
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This book aims to provide relevant theoretical frameworks and the latest empirical research findings in Internet of Things (IoT) in Management Science and Operations Research. It starts with basic concept and present cases, applications, theory, and potential future. The contributed chapters to the book cover wide array of topics as space permits. Examples are from smart industry; city; transportation; home and smart devices. They present future applications, trends, and potential future of this new discipline. Specifically, this book provides an interface between the main disciplines of engineering/technology and the organizational, administrative, and planning capabilities of managing IoT. This book deals with the implementation of latest IoT research findings in practice at the global economy level, at networks and organizations, at teams and work groups and, finally, IoT at the level of players in the networked environments. This book is intended for professionals in the field of engineering, information science, mathematics, economics, and researchers who wish to develop new skills in IoT, or who employ the IoT discipline as part of their work. It will improve their understanding of the strategic role of IoT at various levels of the information and knowledge organization. The book is complemented by a second volume of the same editors with practical cases.
Operational research. Game theory --- Mathematical statistics --- Planning (firm) --- Business management --- Information systems --- bedrijfseconomie --- management --- mathematische modellen --- econometrie --- operationeel onderzoek --- informatica management
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This is the Proceedings of the Eighth International Conference on Management Science and Engineering Management (ICMSEM) held from July 25 to 27, 2014 at Universidade Nova de Lisboa, Lisbon, Portugal and organized by International Society of Management Science and Engineering Management (ISMSEM), Sichuan University (Chengdu, China) and Universidade Nova de Lisboa (Lisbon, Portugal). The goals of the conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current findings. A total number of 138 papers from 14 countries are selected for the proceedings by the conference scientific committee through rigorous referee review. The selected papers in the second volume are focused on Computing and Engineering Management covering areas of Computing Methodology, Project Management, Industrial Engineering and Information Technology.
Engineering --- Management science --- Management --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Operations research. --- Telecommunication. --- Production management. --- Operations Research/Decision Theory. --- Communications Engineering, Networks. --- Operations Management. --- Manufacturing management --- Industrial management --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Operational analysis --- Operational research --- Industrial engineering --- Research --- System theory --- Decision making. --- Electrical engineering. --- Electric engineering --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management decisions --- Choice (Psychology) --- Decision making
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This is the Proceedings of the Eighth International Conference on Management Science and Engineering Management (ICMSEM) held from July 25 to 27, 2014 at Universidade Nova de Lisboa, Lisbon, Portugal and organized by International Society of Management Science and Engineering Management (ISMSEM), Sichuan University (Chengdu, China) and Universidade Nova de Lisboa (Lisbon, Portugal). The goals of the conference are to foster international research collaborations in Management Science and Engineering Management as well as to provide a forum to present current findings. A total number of 138 papers from 14 countries are selected for the proceedings by the conference scientific committee through rigorous referee review. The selected papers in the first volume are focused on Intelligent System and Management Science covering areas of Intelligent Systems, Decision Support Systems, Manufacturing and Supply Chain Management.
Engineering --- Management science --- Management --- Quantitative business analysis --- Problem solving --- Operations research --- Statistical decision --- Production management. --- Telecommunication. --- Operations Management. --- Communications Engineering, Networks. --- Operations Research, Management Science. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Manufacturing management --- Industrial management --- Electrical engineering. --- Operations research. --- Management science. --- Operational analysis --- Operational research --- Industrial engineering --- Research --- System theory --- Electric engineering
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