<P>User interface is one of the most important components for decision support systems since it directly faces to the end users: decision makers and stakeholders. Implementation of modern visualization and interaction techniques can fill the gap between models and information in order to assist the
Decision Support for Crew Rostering in Public Transit: Web-Based Optimization System for Cyclic and Non-Cyclic Rostering
โ Scribed by Lin Xie (auth.)
- Publisher
- Gabler Verlag
- Year
- 2015
- Tongue
- English
- Leaves
- 182
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
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.
โฆ Table of Contents
Front Matter....Pages i-xix
Front Matter....Pages 1-1
Introduction....Pages 3-4
Background....Pages 5-24
Crew Rostering: State of the Art....Pages 25-36
Required Work and Scope of the Thesis....Pages 37-38
Front Matter....Pages 39-39
Mathematical Programming and Optimal Crew Rostering....Pages 41-55
Computational Experiments for the MIP Models....Pages 57-66
Heuristics for Solving the Crew Rostering Problem....Pages 67-106
Front Matter....Pages 107-107
Web-Based Decision Support System for Crew Rostering....Pages 109-126
Conclusion & Outlook....Pages 127-130
Back Matter....Pages 131-172
โฆ Subjects
Operation Research/Decision Theory; Business Information Systems
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