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Managing Complexity

Challenges for Industrial Engineering and Operations Management

  • Conference proceedings
  • © 2014

Overview

  • Business opportunities: the latest advances in management and decision sciences
  • Research challenges: the latest discoveries and findings to update and benchmark your research
  • Best practices in real case studies: firms, research contracts, etc.
  • Includes supplementary material: sn.pub/extras

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About this book

This book presents papers by experts in the field of Industrial Engineering, covering topics in business strategy; modelling and simulation in operations research; logistics and production; service systems; innovation and knowledge; and project management. The focus of operations and production management has evolved from product and manufacturing to the capabilities of firms and collaborative management. Nowadays, Industrial Engineering is concerned with the study of how to design, modify, control and improve the performance of complex systems. It has extended its scope to any physical landscape populated by social agents. This raises a major challenge to Industrial Engineering: managing complexity. This volume shows how experts are dealing with this challenge.

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Keywords

Table of contents (39 papers)

  1. Management

  2. Production

Editors and Affiliations

  • INSISOC, University of Valladolid, Valladolid, Spain

    Cesáreo Hernández, Adolfo López-Paredes, José M. Pérez-Ríos

Bibliographic Information

  • Book Title: Managing Complexity

  • Book Subtitle: Challenges for Industrial Engineering and Operations Management

  • Editors: Cesáreo Hernández, Adolfo López-Paredes, José M. Pérez-Ríos

  • Series Title: Lecture Notes in Management and Industrial Engineering

  • DOI: https://doi.org/10.1007/978-3-319-04705-8

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2014

  • Hardcover ISBN: 978-3-319-04704-1Published: 11 August 2014

  • Softcover ISBN: 978-3-319-34424-9Published: 17 September 2016

  • eBook ISBN: 978-3-319-04705-8Published: 25 July 2014

  • Series ISSN: 2198-0772

  • Series E-ISSN: 2198-0780

  • Edition Number: 1

  • Number of Pages: XVII, 340

  • Number of Illustrations: 10 b/w illustrations, 66 illustrations in colour

  • Topics: Complexity, Operations Research/Decision Theory, Simulation and Modeling

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