Overview
- Provides the reader with access to the latest research in emerging topics such as big data and decision analytics
- Demonstrates how operations research can be linked with subjects such as computational intelligence, artificial intelligence, and trusted autonomy for humans and machines
- Covers a wide range of applications
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Management and Industrial Engineering (LNMIE)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (29 papers)
Keywords
About this book
Offering a concise and multidisciplinary reference guide to the state of the art in Australian operations research, this book will be of great value to academics working in many disciplines associated with operations research, as well as industrial practitioners engaged in planning, scheduling and logistics.
Over 60 papers, with topics ranging from academic research techniques and case studies to industrial and administrative best practices in operations research, address aspects such as:
• optimization, combinatorial optimization, decision analysis, supply-chain management, queuing and routing, and project management; and
• logistics, government, cyber security, health-care systems, mining and material processing, ergonomics and human factors, space applications, telecommunications and transportation, among many others.
This book presents the Proceedings of the National Conference of the Australian Society for Operations Research, the premier professional organization for Australian academics and practitioners working in optimization and other disciplines related to operations research. The conference was held in Canberra in November 2016.
Editors and Affiliations
About the editors
Bibliographic Information
Book Title: Data and Decision Sciences in Action
Book Subtitle: Proceedings of the Australian Society for Operations Research Conference 2016
Editors: Ruhul Sarker, Hussein A. Abbass, Simon Dunstall, Philip Kilby, Richard Davis, Leon Young
Series Title: Lecture Notes in Management and Industrial Engineering
DOI: https://doi.org/10.1007/978-3-319-55914-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing AG 2018
Hardcover ISBN: 978-3-319-55913-1Published: 28 July 2017
Softcover ISBN: 978-3-319-85778-7Published: 12 August 2018
eBook ISBN: 978-3-319-55914-8Published: 26 July 2017
Series ISSN: 2198-0772
Series E-ISSN: 2198-0780
Edition Number: 1
Number of Pages: IX, 414
Number of Illustrations: 30 b/w illustrations, 63 illustrations in colour
Topics: Engineering Economics, Organization, Logistics, Marketing, Operations Research, Management Science, Operations Research/Decision Theory