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Multi-Project Management with a Multi-Skilled Workforce

A Quantitative Approach Aiming at Small Project Teams

  • Book
  • © 2015

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Overview

  • Study in the field of economic sciences
  • Includes supplementary material: sn.pub/extras

Part of the book series: Produktion und Logistik (PL)

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About this book

This book covers three fundamental problems at the interface of multi-project management and human resource management: the selection of projects, the composition of small project teams, and workload leveling. Matthias Walter proposes optimization models and solution methods for these problems, assuming multi-skilled workers with heterogeneous skill levels. For the first time, the author presents exact and heuristic methods that support managers to form small teams. Additionally, he outlines a new skill chaining strategy that increases workforce flexibility.

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Keywords

Table of contents (9 chapters)

Authors and Affiliations

  • Institut für Wirtschaftswissenschaft, Technische Universität Clausthal, Clausthal-Zellerfeld, Germany

    Matthias Walter

About the author

Dr. Matthias Walter wrote his dissertation under the supervision of Prof. Dr. Jürgen Zimmermann at the Operations Research Group at Clausthal University of Technology.

Bibliographic Information

  • Book Title: Multi-Project Management with a Multi-Skilled Workforce

  • Book Subtitle: A Quantitative Approach Aiming at Small Project Teams

  • Authors: Matthias Walter

  • Series Title: Produktion und Logistik

  • DOI: https://doi.org/10.1007/978-3-658-08036-5

  • Publisher: Springer Gabler Wiesbaden

  • eBook Packages: Business and Economics, Business and Management (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden 2015

  • Hardcover ISBN: 978-3-658-08035-8Published: 05 December 2014

  • Softcover ISBN: 978-3-658-14080-9Published: 20 August 2016

  • eBook ISBN: 978-3-658-08036-5Published: 21 November 2014

  • Series ISSN: 1431-6846

  • Series E-ISSN: 2628-0108

  • Edition Number: 1

  • Number of Pages: XXIII, 301

  • Number of Illustrations: 23 b/w illustrations

  • Topics: Operations Research/Decision Theory, Organization, Human Resource Management

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