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Decision Support for Schedule Recovery at Lufthansa Group Airlines.

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Title: Decision Support for Schedule Recovery at Lufthansa Group Airlines.
Authors: Davies, Toby O. (AUTHOR), Duque, Daniel (AUTHOR), Masten, Emily (AUTHOR), Tangl, Tom (AUTHOR), Bruneton, Eric (AUTHOR), Estanislao, Alejandra (AUTHOR), Orwant, Jon (AUTHOR), Duffner, Daniel Bogado (AUTHOR), Frey, Michael (AUTHOR), Most, Christian (AUTHOR)
Source: INFORMS Journal on Applied Analytics. Jan/Feb2026, Vol. 56 Issue 1, p58-75. 18p.
Subjects: Operations research, Flight delays & cancellations (Airlines), Decision support systems, Swiss International Air Lines AG, Alphabet Inc., Flight crews, Carbon dioxide mitigation, Air travel
Abstract: The Operations Decision Support Suite, developed by Lufthansa and Google, jointly optimizes aircraft, crew, and passenger itineraries to ensure that disruptions such as flight delays are mitigated smoothly. The service is in daily use by Lufthansa subsidiary Swiss International Airlines, with EUR 12 million and 14 kilotons of CO2 already saved. It is currently being deployed to all airlines in the Lufthansa Group and is on track to save EUR 30 million and 50 kilotons of CO2 annually. In 2019, Lufthansa and Google began a five-year collaboration to apply operations research techniques to operational airline schedule recovery, jointly optimizing over aircraft, passengers, and crew to ensure that disruptions such as flight delays are mitigated smoothly. The resulting Operations Decision Support Suite (OPSD) implements several novel decomposition techniques and heuristics. The service is in daily use by Lufthansa subsidiary Swiss International Airlines, with EUR 12 million and 14 kilotons of CO2 already saved. It is currently being deployed to all airlines in the Lufthansa Group and is on track to save EUR 30 million and 50 kilotons of CO2 annually. [ABSTRACT FROM AUTHOR]
Copyright of INFORMS Journal on Applied Analytics is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Decision Support for Schedule Recovery at Lufthansa Group Airlines.
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  Data: <searchLink fieldCode="JN" term="%22INFORMS+Journal+on+Applied+Analytics%22">INFORMS Journal on Applied Analytics</searchLink>. Jan/Feb2026, Vol. 56 Issue 1, p58-75. 18p.
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  Data: <searchLink fieldCode="DE" term="%22Operations+research%22">Operations research</searchLink><br /><searchLink fieldCode="DE" term="%22Flight+delays+%26+cancellations+%28Airlines%29%22">Flight delays & cancellations (Airlines)</searchLink><br /><searchLink fieldCode="DE" term="%22Decision+support+systems%22">Decision support systems</searchLink><br /><searchLink fieldCode="DE" term="%22Swiss+International+Air+Lines+AG%22">Swiss International Air Lines AG</searchLink><br /><searchLink fieldCode="DE" term="%22Alphabet+Inc%2E%22">Alphabet Inc.</searchLink><br /><searchLink fieldCode="DE" term="%22Flight+crews%22">Flight crews</searchLink><br /><searchLink fieldCode="DE" term="%22Carbon+dioxide+mitigation%22">Carbon dioxide mitigation</searchLink><br /><searchLink fieldCode="DE" term="%22Air+travel%22">Air travel</searchLink>
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  Data: The Operations Decision Support Suite, developed by Lufthansa and Google, jointly optimizes aircraft, crew, and passenger itineraries to ensure that disruptions such as flight delays are mitigated smoothly. The service is in daily use by Lufthansa subsidiary Swiss International Airlines, with EUR 12 million and 14 kilotons of CO2 already saved. It is currently being deployed to all airlines in the Lufthansa Group and is on track to save EUR 30 million and 50 kilotons of CO2 annually. In 2019, Lufthansa and Google began a five-year collaboration to apply operations research techniques to operational airline schedule recovery, jointly optimizing over aircraft, passengers, and crew to ensure that disruptions such as flight delays are mitigated smoothly. The resulting Operations Decision Support Suite (OPSD) implements several novel decomposition techniques and heuristics. The service is in daily use by Lufthansa subsidiary Swiss International Airlines, with EUR 12 million and 14 kilotons of CO2 already saved. It is currently being deployed to all airlines in the Lufthansa Group and is on track to save EUR 30 million and 50 kilotons of CO2 annually. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of INFORMS Journal on Applied Analytics is the property of INFORMS: Institute for Operations Research & the Management Sciences and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1287/inte.2025.0296
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        Text: English
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        Type: general
      – SubjectFull: Flight delays & cancellations (Airlines)
        Type: general
      – SubjectFull: Decision support systems
        Type: general
      – SubjectFull: Swiss International Air Lines AG
        Type: general
      – SubjectFull: Alphabet Inc.
        Type: general
      – SubjectFull: Flight crews
        Type: general
      – SubjectFull: Carbon dioxide mitigation
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      – SubjectFull: Air travel
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      – TitleFull: Decision Support for Schedule Recovery at Lufthansa Group Airlines.
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              M: 01
              Text: Jan/Feb2026
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              Y: 2026
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