Railway crew scheduling: Models, methods and applications
The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers develop...
Ausführliche Beschreibung
Autor*in: |
Heil, Julia [verfasserIn] Hoffmann, Kirsten [verfasserIn] Buscher, Udo [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2019 |
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Schlagwörter: |
Übergeordnetes Werk: |
Enthalten in: European journal of operational research - Amsterdam [u.a.] : Elsevier, 1977, 283, Seite 405-425 |
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Übergeordnetes Werk: |
volume:283 ; pages:405-425 |
DOI / URN: |
10.1016/j.ejor.2019.06.016 |
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Katalog-ID: |
ELV003500292 |
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520 | |a The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. | ||
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10.1016/j.ejor.2019.06.016 doi (DE-627)ELV003500292 (ELSEVIER)S0377-2217(19)30491-6 DE-627 ger DE-627 rda eng 85.03 bkl Heil, Julia verfasserin aut Railway crew scheduling: Models, methods and applications 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. 1.1\x Operations Research (DE-2867)15483-0 stw Transportation Railway Crew scheduling Literature review Hoffmann, Kirsten verfasserin aut Buscher, Udo verfasserin aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 283, Seite 405-425 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:283 pages:405-425 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.03 Methoden und Techniken der Betriebswirtschaft BIZ-10001 SKW AR 283 405-425 |
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10.1016/j.ejor.2019.06.016 doi (DE-627)ELV003500292 (ELSEVIER)S0377-2217(19)30491-6 DE-627 ger DE-627 rda eng 85.03 bkl Heil, Julia verfasserin aut Railway crew scheduling: Models, methods and applications 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. 1.1\x Operations Research (DE-2867)15483-0 stw Transportation Railway Crew scheduling Literature review Hoffmann, Kirsten verfasserin aut Buscher, Udo verfasserin aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 283, Seite 405-425 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:283 pages:405-425 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.03 Methoden und Techniken der Betriebswirtschaft BIZ-10001 SKW AR 283 405-425 |
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10.1016/j.ejor.2019.06.016 doi (DE-627)ELV003500292 (ELSEVIER)S0377-2217(19)30491-6 DE-627 ger DE-627 rda eng 85.03 bkl Heil, Julia verfasserin aut Railway crew scheduling: Models, methods and applications 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. 1.1\x Operations Research (DE-2867)15483-0 stw Transportation Railway Crew scheduling Literature review Hoffmann, Kirsten verfasserin aut Buscher, Udo verfasserin aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 283, Seite 405-425 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:283 pages:405-425 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.03 Methoden und Techniken der Betriebswirtschaft BIZ-10001 SKW AR 283 405-425 |
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10.1016/j.ejor.2019.06.016 doi (DE-627)ELV003500292 (ELSEVIER)S0377-2217(19)30491-6 DE-627 ger DE-627 rda eng 85.03 bkl Heil, Julia verfasserin aut Railway crew scheduling: Models, methods and applications 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. 1.1\x Operations Research (DE-2867)15483-0 stw Transportation Railway Crew scheduling Literature review Hoffmann, Kirsten verfasserin aut Buscher, Udo verfasserin aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 283, Seite 405-425 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:283 pages:405-425 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.03 Methoden und Techniken der Betriebswirtschaft BIZ-10001 SKW AR 283 405-425 |
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10.1016/j.ejor.2019.06.016 doi (DE-627)ELV003500292 (ELSEVIER)S0377-2217(19)30491-6 DE-627 ger DE-627 rda eng 85.03 bkl Heil, Julia verfasserin aut Railway crew scheduling: Models, methods and applications 2019 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. 1.1\x Operations Research (DE-2867)15483-0 stw Transportation Railway Crew scheduling Literature review Hoffmann, Kirsten verfasserin aut Buscher, Udo verfasserin aut Enthalten in European journal of operational research Amsterdam [u.a.] : Elsevier, 1977 283, Seite 405-425 Online-Ressource (DE-627)306713470 (DE-600)1501061-2 (DE-576)094058377 0377-2217 nnns volume:283 pages:405-425 GBV_USEFLAG_U SYSFLAG_U GBV_ELV GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_150 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 85.03 Methoden und Techniken der Betriebswirtschaft BIZ-10001 SKW AR 283 405-425 |
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authorswithroles_txt_mv |
Heil, Julia @@aut@@ Hoffmann, Kirsten @@aut@@ Buscher, Udo @@aut@@ |
publishDateDaySort_date |
2019-01-01T00:00:00Z |
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306713470 |
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language_de |
englisch |
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abstract |
The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. |
abstractGer |
The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. |
abstract_unstemmed |
The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules. |
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<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV003500292</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230524154032.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230430s2019 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.ejor.2019.06.016</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV003500292</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0377-2217(19)30491-6</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">85.03</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Heil, Julia</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Railway crew scheduling: Models, methods and applications</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The railway crew scheduling problem consists of finding the most efficient duty combination for railway crews to cover all trains and related activities for a defined period of time. Crew scheduling problems in transportation originate in airline and bus industries. In the 1990s, researchers developed sophisticated algorithms which were capable of solving the larger and more complex problem instances of railway operators. Practical implementations and decision support tools received very satisfying feedback from the industry. Since then, numerous real-world problems have been studied requiring innovative algorithmic approaches to the NP-hard problem. In this paper, we review 123 articles on railway crew scheduling focusing on more recent publications since 2000. After depicting crew scheduling in railway including the differences between transportation modes, our goal is to classify the literature according to model formulations, objectives, constraints and solution methods. By systematizing the collected articles, we identify research opportunities including integrated approaches with other planning stages, real-time re-scheduling and a further investigation of the impact of robustness and employee satisfaction on the cost of railway crew schedules.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="8">1.1\x</subfield><subfield code="a">Operations Research</subfield><subfield code="0">(DE-2867)15483-0</subfield><subfield code="2">stw</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Transportation</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Railway</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Crew scheduling</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Literature review</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hoffmann, Kirsten</subfield><subfield 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