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Decision Support for Crew Rostering in Public Transit

Web-Based Optimization System for Cyclic and Non-Cyclic Rostering

  • Book
  • © 2015

Overview

Authors:
  1. Lin Xie

    1. Wirtschaftsinformatik, Universität Paderborn, Paderborn, Germany

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  • Publication in the field of economic sciences

  • Includes supplementary material: sn.pub/extras

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-xix
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  2. Focus and Objectives

    1. Front Matter

      Pages 1-1
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    2. Introduction

      • Lin Xie
      Pages 3-4

    3. Background

      • Lin Xie
      Pages 5-24

    4. Crew Rostering: State of the Art

      • Lin Xie
      Pages 25-36

    5. Required Work and Scope of the Thesis

      • Lin Xie
      Pages 37-38

  3. Solution Approaches

    1. Front Matter

      Pages 39-39
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    2. Mathematical Programming and Optimal Crew Rostering

      • Lin Xie
      Pages 41-55

    3. Computational Experiments for the MIP Models

      • Lin Xie
      Pages 57-66

    4. Heuristics for Solving the Crew Rostering Problem

      • Lin Xie
      Pages 67-106

  4. Decision Support System

    1. Front Matter

      Pages 107-107
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    2. Web-Based Decision Support System for Crew Rostering

      • Lin Xie
      Pages 109-126

    3. Conclusion & Outlook

      • Lin Xie
      Pages 127-130

  5. Back Matter

    Pages 131-172
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Keywords

About this book

While traditionally sequential approaches have been used to deal with the cyclic/non-cyclic crew rostering problem in public transit, Lin Xie focuses on several solution approaches based on a novel network design to solve this task within one step. This is due to the fact that sequential planning often produces some unassigned duties that require additional drivers to cover them, while some drivers do not get jobs on some days. This integrated approach reduces additional personnel/operational costs and improves the satisfaction of drivers compared with the sequential one. Moreover, the author develops a web-based decision support system, which supports the planner in choosing a customized model as well as a suitable solution approach for solving the problem.

Authors and Affiliations

  • Wirtschaftsinformatik, Universität Paderborn, Paderborn, Germany

    Lin Xie

About the author

Lin Xie holds a doctoral degree from the Faculty of Business Administration and Economics at the University of Paderborn. She is a research associate in the Decision Support & Operations Research Lab at the University of Paderborn.

Bibliographic Information

  • Book Title: Decision Support for Crew Rostering in Public Transit

  • Book Subtitle: Web-Based Optimization System for Cyclic and Non-Cyclic Rostering

  • Authors: Lin Xie

  • DOI: https://doi.org/10.1007/978-3-658-08167-6

  • Publisher: Springer Gabler Wiesbaden

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

  • Copyright Information: Springer Fachmedien Wiesbaden 2015

  • Softcover ISBN: 978-3-658-08166-9Published: 02 December 2014

  • eBook ISBN: 978-3-658-08167-6Published: 18 November 2014

  • Edition Number: 1

  • Number of Pages: XIX, 172

  • Number of Illustrations: 74 b/w illustrations, 5 illustrations in colour

  • Topics: Operations Research/Decision Theory, IT in Business

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