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Documents authored by Barnhart, Cynthia


Document
09261 Abstracts Collection – Models and Algorithms for Optimization in Logistics

Authors: Cynthia Barnhart, Uwe Clausen, Ulrich Lauther, and Rolf H. Möhring

Published in: Dagstuhl Seminar Proceedings, Volume 9261, Models and Algorithms for Optimization in Logistics (2009)


Abstract
From June 21 to June 26, 2009 the Dagstuhl Seminar Perspectives Workshop 09261 ``Models and Algorithms for Optimization in Logistics '' was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Cynthia Barnhart, Uwe Clausen, Ulrich Lauther, and Rolf H. Möhring. 09261 Abstracts Collection – Models and Algorithms for Optimization in Logistics. In Models and Algorithms for Optimization in Logistics. Dagstuhl Seminar Proceedings, Volume 9261, pp. 1-18, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{barnhart_et_al:DagSemProc.09261.1,
  author =	{Barnhart, Cynthia and Clausen, Uwe and Lauther, Ulrich and M\"{o}hring, Rolf H.},
  title =	{{09261 Abstracts Collection – Models and Algorithms for Optimization in Logistics }},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--18},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9261},
  editor =	{Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09261.1},
  URN =		{urn:nbn:de:0030-drops-21915},
  doi =		{10.4230/DagSemProc.09261.1},
  annote =	{Keywords: Logistics, optimization, transport}
}
Document
09261 Executive Summary – Models and Algorithms for Optimization in Logistics

Authors: Cynthia Barnhart, Uwe Clausen, Ulrich Lauther, and Rolf H. Möhring

Published in: Dagstuhl Seminar Proceedings, Volume 9261, Models and Algorithms for Optimization in Logistics (2009)


Abstract
From June 21 to June 26, 2009, the Dagstuhl Seminar 09261 on Models and Algorithms for Optimization in Logistics was held in the International Conference and Research Center (IBFI), Schloss Dagstuhl. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available.

Cite as

Cynthia Barnhart, Uwe Clausen, Ulrich Lauther, and Rolf H. Möhring. 09261 Executive Summary – Models and Algorithms for Optimization in Logistics. In Models and Algorithms for Optimization in Logistics. Dagstuhl Seminar Proceedings, Volume 9261, pp. 1-2, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{barnhart_et_al:DagSemProc.09261.2,
  author =	{Barnhart, Cynthia and Clausen, Uwe and Lauther, Ulrich and M\"{o}hring, Rolf H.},
  title =	{{09261 Executive Summary – Models and Algorithms for Optimization in Logistics}},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--2},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9261},
  editor =	{Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09261.2},
  URN =		{urn:nbn:de:0030-drops-21752},
  doi =		{10.4230/DagSemProc.09261.2},
  annote =	{Keywords: Logistics, optimization, transport}
}
Document
OPTIMIZATION APPROACHES TO AIRLINE INDUSTRY CHALLENGES: Airline Schedule Planning and Recovery

Authors: Cynthia Barnhart, Hai Jiang, and Lavanya Marla

Published in: Dagstuhl Seminar Proceedings, Volume 9261, Models and Algorithms for Optimization in Logistics (2009)


Abstract
The airline industry has a long history of developing and applying optimization approaches to their myriad of scheduling problems. These problems have several challenging characteristics, the two most challenging of which include: 1) they span long- and short-term horizons, from strategic planning of flight schedules operated several months into the future, to real-time operations in which strategies must be developed and implemented immediately to recover scheduled operations from disruptions; and 2) they include multiple resources that must be coordinated, such as aircraft, crews, and passengers. While optimization approaches have been essential to the airline industry and effective in developing aircraft and crew schedules, historical models and approaches often fail to capture the complexity of airline operations. For example, approaches, often by necessity, involve a sequential, rather than an integrated process to develop schedules for aircraft and crews, and moreover, the process involves simplifying assumptions, including that future demands are known and deterministic, and that schedules are operated as planned. In more recent research on airline schedule optimization, advances have led to new schedule optimization models and approaches that more accurately reflect reality. As described in this presentation, the most notable contributions to these advances include: 1. Integrated Aircraft and Crew Schedule Optimization Approaches in which some of the aircraft and crew schedule decisions previously taken sequentially are integrated, moving closer to producing globally optimal schedules; 2. Dynamic Scheduling Approaches in which schedules are adjusted during the passenger booking period to reflect increased knowledge of booking patterns and to increase the schedule’s associated total revenue; and 3. Robust Optimization Approaches in which the stochastic nature of airline operations is modeled and realized schedule performance is optimized.

Cite as

Cynthia Barnhart, Hai Jiang, and Lavanya Marla. OPTIMIZATION APPROACHES TO AIRLINE INDUSTRY CHALLENGES: Airline Schedule Planning and Recovery. In Models and Algorithms for Optimization in Logistics. Dagstuhl Seminar Proceedings, Volume 9261, pp. 1-3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2009)


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@InProceedings{barnhart_et_al:DagSemProc.09261.20,
  author =	{Barnhart, Cynthia and Jiang, Hai and Marla, Lavanya},
  title =	{{OPTIMIZATION APPROACHES TO AIRLINE INDUSTRY CHALLENGES:  Airline Schedule Planning and Recovery}},
  booktitle =	{Models and Algorithms for Optimization in Logistics},
  pages =	{1--3},
  series =	{Dagstuhl Seminar Proceedings (DagSemProc)},
  ISSN =	{1862-4405},
  year =	{2009},
  volume =	{9261},
  editor =	{Cynthia Barnhart and Uwe Clausen and Ulrich Lauther and Rolf H. M\"{o}hring},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.09261.20},
  URN =		{urn:nbn:de:0030-drops-21880},
  doi =		{10.4230/DagSemProc.09261.20},
  annote =	{Keywords: Airline aircraft and crew optimization, robust scheduling, dynamic scheduling}
}
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