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Book
Production management : methods and studies
Author:
ISBN: 0444879862 9780444879868 Year: 1986 Volume: 13 Publisher: Amsterdam: North-Holland,


Book
Introduction to mathematical programming : quantitative tools for decision making
Authors: ---
ISBN: 0713134550 0444005919 9780444005915 9780713134551 Year: 1982 Publisher: London: Edward Arnold,

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Book
Advanced Business Analytics
Authors: ---
ISBN: 9783319114156 331911414X 9783319114149 3319114158 Year: 2015 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

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.

Keywords

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


Book
Big Data Management
Authors: ---
ISBN: 3319454978 3319454986 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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.

Keywords

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)


Book
Data Science and Digital Business
Authors: ---
ISBN: 3319956515 3319956507 Year: 2019 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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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.


Digital
Proceedings of the Sixth International Conference on Management Science and Engineering Management : Focused on Electrical and Information Technology
Authors: --- ---
ISBN: 9781447146001 Year: 2013 Publisher: London Springer

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Welcome to the proceedings of the Sixth International Conference on Management Science and Engineering Management (ICMSEM2012) held from November 11 to 14, 2012 at Quaid-i-Azam University, Islamabad, Pakistan and supported by Sichuan University (Chengdu, China), Quaid-i-Azam University (Islamabad, Pakistan) and The National Natural Science Foundation of China. The International Conference on Management Science and Engineering Management is the annual conference organized by the International Society of Management Science and Engineering Management. 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 research results. The papers are classified into 8 sections: Computer and Networks, Information Technology, Decision Support System, Industrial Engineering, Supply Chain Management, Project Management, Manufacturing and Ecological Engineering. The key issues of the sixth ICMSEM cover various areas in MSEM, such as Decision Support System, Computational Mathematics, Information Systems, Logistics and Supply Chain Management, Relationship Management, Scheduling and Control, Data Warehousing and Data Mining, Electronic Commerce, Neural Networks, Stochastic models and Simulation, Heuristics Algorithms, Risk Control, and Carbon Credits.


Digital
Data Science and Digital Business
Authors: ---
ISBN: 9783319956510 Year: 2019 Publisher: Cham Springer International Publishing

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Abstract

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.


Digital
Big Data Management
Authors: ---
ISBN: 9783319454986 Year: 2017 Publisher: Cham Springer International Publishing

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Abstract

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.


Multi
Internet of Things : Cases and Studies
Authors: ---
ISBN: 9783030704780 9783030704797 9783030704803 9783030704773 Year: 2021 Publisher: Cham Springer International Publishing

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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. .

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