Overview
- Contains both theoretical and practical studies of Management Science in the Computing Methodology
- Reports advanced management concepts and computing technologies for decision making problems
- Presents new changes and challenges in the decision making procedure in the big data era
Part of the book series: Lecture Notes on Multidisciplinary Industrial Engineering (LNMUINEN)
Included in the following conference series:
Conference proceedings info: ICMSEM 2018.
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Table of contents (138 papers)
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Front Matter
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Decision Support System
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Front Matter
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Other volumes
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Proceedings of the Twelfth International Conference on Management Science and Engineering Management
Keywords
About this book
This proceedings book is divided in 2 Volumes and 8 Parts. Part I is dedicated to Decision Support System, which is about the information system that supports business or organizational decision-making activities; Part II is on Computing Methodology, which is always used to provide the most effective algorithm for numerical solutions of various modeling problems; Part III presents Information Technology, which is the application of computers to store, study, retrieve, transmit and manipulate data, or information in the context of a business or other enterprise; Part IV is dedicated to Data Analysis, which is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions, and supporting decision-making; Part V presents papers on Operational Management, which is about the plan, organization, implementation and control of the operation process; Part VI is on Project Management, which is about the initiating, planning, executing, controlling, and closing the work of a team to achieve specific goals and meet specific success criteria at the specified time in the field of engineering; Part VII presents Green Supply Chain, which is about the management of the flow of goods and services based on the concept of “low-carbon”; Part VIII is focused on Industry Strategy Management, which refers to the decision-making and management art of an industry or organization in a long-term and long-term development direction, objectives, tasks and policies, as well as resource allocation.
Editors and Affiliations
Bibliographic Information
Book Title: Proceedings of the Twelfth International Conference on Management Science and Engineering Management
Editors: Jiuping Xu, Fang Lee Cooke, Mitsuo Gen, Syed Ejaz Ahmed
Series Title: Lecture Notes on Multidisciplinary Industrial Engineering
DOI: https://doi.org/10.1007/978-3-319-93351-1
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2019
Hardcover ISBN: 978-3-319-93350-4Published: 26 June 2018
Softcover ISBN: 978-3-030-06645-1Published: 23 February 2019
eBook ISBN: 978-3-319-93351-1Published: 25 June 2018
Series ISSN: 2522-5022
Series E-ISSN: 2522-5030
Edition Number: 1
Number of Pages: XXV, 1795
Number of Illustrations: 165 b/w illustrations, 257 illustrations in colour