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Decision Support for Crew Rostering in Public Transit
Lin Xie
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Description for Decision Support for Crew Rostering in Public Transit
Paperback. Num Pages: 172 pages, 74 black & white illustrations, 5 colour illustrations, 16 black & white tables, biograph. BIC Classification: KJQ; KJT; KNG. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 10. Weight in Grams: 258.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
172
Condition
New
Number of Pages
172
Place of Publication
, Germany
ISBN
9783658081669
SKU
V9783658081669
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Lin Xie
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.
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