On Modeling Stochastic Travel and Service Times in Vehicle Routing
Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the pr...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gomez, Andres [verfasserIn] |
|---|
| Format: |
Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2016 |
|---|
| Schlagwörter: |
|---|
| Übergeordnetes Werk: |
Enthalten in: Transportation science - Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967, 50(2016), 2, Seite 627-641 |
|---|---|
| Übergeordnetes Werk: |
volume:50 ; year:2016 ; number:2 ; pages:627-641 |
| Links: |
|---|
| DOI / URN: |
10.1287/trsc.2015.0601 |
|---|
| Katalog-ID: |
OLC197742189X |
|---|
| LEADER | 01000caa a2200265 4500 | ||
|---|---|---|---|
| 001 | OLC197742189X | ||
| 003 | DE-627 | ||
| 005 | 20220215180122.0 | ||
| 007 | tu | ||
| 008 | 160719s2016 xx ||||| 00| ||eng c | ||
| 024 | 7 | |a 10.1287/trsc.2015.0601 |2 doi | |
| 028 | 5 | 2 | |a PQ20160719 |
| 035 | |a (DE-627)OLC197742189X | ||
| 035 | |a (DE-599)GBVOLC197742189X | ||
| 035 | |a (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 | ||
| 035 | |a (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | 4 | |a 380 |q DNB |
| 084 | |a 55.80 |2 bkl | ||
| 100 | 1 | |a Gomez, Andres |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a On Modeling Stochastic Travel and Service Times in Vehicle Routing |
| 264 | 1 | |c 2016 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 520 | |a Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. | ||
| 650 | 4 | |a stochastic service times | |
| 650 | 4 | |a Phase-type distributions | |
| 650 | 4 | |a vehicle routing | |
| 650 | 4 | |a stochastic travel times | |
| 650 | 4 | |a Travel industry | |
| 700 | 1 | |a Marino, Ricardo |4 oth | |
| 700 | 1 | |a Akhavan-Tabatabaei, Raha |4 oth | |
| 700 | 1 | |a Medaglia, Andres L |4 oth | |
| 700 | 1 | |a Mendoza, Jorge E |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |t Transportation science |d Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967 |g 50(2016), 2, Seite 627-641 |w (DE-627)129362190 |w (DE-600)160958-0 |w (DE-576)014734885 |x 0041-1655 |7 nnns |
| 773 | 1 | 8 | |g volume:50 |g year:2016 |g number:2 |g pages:627-641 |
| 856 | 4 | 1 | |u http://dx.doi.org/10.1287/trsc.2015.0601 |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_OLC | ||
| 912 | |a SSG-OLC-ARC | ||
| 912 | |a SSG-OLC-TEC | ||
| 912 | |a SSG-OLC-GEO | ||
| 912 | |a SSG-OLC-WIW | ||
| 912 | |a GBV_ILN_21 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_26 | ||
| 912 | |a GBV_ILN_30 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_70 | ||
| 912 | |a GBV_ILN_2006 | ||
| 912 | |a GBV_ILN_4046 | ||
| 912 | |a GBV_ILN_4126 | ||
| 912 | |a GBV_ILN_4315 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4326 | ||
| 936 | b | k | |a 55.80 |q AVZ |
| 951 | |a AR | ||
| 952 | |d 50 |j 2016 |e 2 |h 627-641 | ||
| author_variant |
a g ag |
|---|---|
| matchkey_str |
article:00411655:2016----::noeigtcatcrvlnsrieiei |
| hierarchy_sort_str |
2016 |
| bklnumber |
55.80 |
| publishDate |
2016 |
| allfields |
10.1287/trsc.2015.0601 doi PQ20160719 (DE-627)OLC197742189X (DE-599)GBVOLC197742189X (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle DE-627 ger DE-627 rakwb eng 380 DNB 55.80 bkl Gomez, Andres verfasserin aut On Modeling Stochastic Travel and Service Times in Vehicle Routing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry Marino, Ricardo oth Akhavan-Tabatabaei, Raha oth Medaglia, Andres L oth Mendoza, Jorge E oth Enthalten in Transportation science Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967 50(2016), 2, Seite 627-641 (DE-627)129362190 (DE-600)160958-0 (DE-576)014734885 0041-1655 nnns volume:50 year:2016 number:2 pages:627-641 http://dx.doi.org/10.1287/trsc.2015.0601 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_30 GBV_ILN_40 GBV_ILN_60 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4126 GBV_ILN_4315 GBV_ILN_4324 GBV_ILN_4326 55.80 AVZ AR 50 2016 2 627-641 |
| spelling |
10.1287/trsc.2015.0601 doi PQ20160719 (DE-627)OLC197742189X (DE-599)GBVOLC197742189X (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle DE-627 ger DE-627 rakwb eng 380 DNB 55.80 bkl Gomez, Andres verfasserin aut On Modeling Stochastic Travel and Service Times in Vehicle Routing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry Marino, Ricardo oth Akhavan-Tabatabaei, Raha oth Medaglia, Andres L oth Mendoza, Jorge E oth Enthalten in Transportation science Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967 50(2016), 2, Seite 627-641 (DE-627)129362190 (DE-600)160958-0 (DE-576)014734885 0041-1655 nnns volume:50 year:2016 number:2 pages:627-641 http://dx.doi.org/10.1287/trsc.2015.0601 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_30 GBV_ILN_40 GBV_ILN_60 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4126 GBV_ILN_4315 GBV_ILN_4324 GBV_ILN_4326 55.80 AVZ AR 50 2016 2 627-641 |
| allfields_unstemmed |
10.1287/trsc.2015.0601 doi PQ20160719 (DE-627)OLC197742189X (DE-599)GBVOLC197742189X (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle DE-627 ger DE-627 rakwb eng 380 DNB 55.80 bkl Gomez, Andres verfasserin aut On Modeling Stochastic Travel and Service Times in Vehicle Routing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry Marino, Ricardo oth Akhavan-Tabatabaei, Raha oth Medaglia, Andres L oth Mendoza, Jorge E oth Enthalten in Transportation science Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967 50(2016), 2, Seite 627-641 (DE-627)129362190 (DE-600)160958-0 (DE-576)014734885 0041-1655 nnns volume:50 year:2016 number:2 pages:627-641 http://dx.doi.org/10.1287/trsc.2015.0601 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_30 GBV_ILN_40 GBV_ILN_60 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4126 GBV_ILN_4315 GBV_ILN_4324 GBV_ILN_4326 55.80 AVZ AR 50 2016 2 627-641 |
| allfieldsGer |
10.1287/trsc.2015.0601 doi PQ20160719 (DE-627)OLC197742189X (DE-599)GBVOLC197742189X (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle DE-627 ger DE-627 rakwb eng 380 DNB 55.80 bkl Gomez, Andres verfasserin aut On Modeling Stochastic Travel and Service Times in Vehicle Routing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry Marino, Ricardo oth Akhavan-Tabatabaei, Raha oth Medaglia, Andres L oth Mendoza, Jorge E oth Enthalten in Transportation science Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967 50(2016), 2, Seite 627-641 (DE-627)129362190 (DE-600)160958-0 (DE-576)014734885 0041-1655 nnns volume:50 year:2016 number:2 pages:627-641 http://dx.doi.org/10.1287/trsc.2015.0601 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_30 GBV_ILN_40 GBV_ILN_60 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4126 GBV_ILN_4315 GBV_ILN_4324 GBV_ILN_4326 55.80 AVZ AR 50 2016 2 627-641 |
| allfieldsSound |
10.1287/trsc.2015.0601 doi PQ20160719 (DE-627)OLC197742189X (DE-599)GBVOLC197742189X (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle DE-627 ger DE-627 rakwb eng 380 DNB 55.80 bkl Gomez, Andres verfasserin aut On Modeling Stochastic Travel and Service Times in Vehicle Routing 2016 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry Marino, Ricardo oth Akhavan-Tabatabaei, Raha oth Medaglia, Andres L oth Mendoza, Jorge E oth Enthalten in Transportation science Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967 50(2016), 2, Seite 627-641 (DE-627)129362190 (DE-600)160958-0 (DE-576)014734885 0041-1655 nnns volume:50 year:2016 number:2 pages:627-641 http://dx.doi.org/10.1287/trsc.2015.0601 Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_30 GBV_ILN_40 GBV_ILN_60 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4126 GBV_ILN_4315 GBV_ILN_4324 GBV_ILN_4326 55.80 AVZ AR 50 2016 2 627-641 |
| language |
English |
| source |
Enthalten in Transportation science 50(2016), 2, Seite 627-641 volume:50 year:2016 number:2 pages:627-641 |
| sourceStr |
Enthalten in Transportation science 50(2016), 2, Seite 627-641 volume:50 year:2016 number:2 pages:627-641 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry |
| dewey-raw |
380 |
| isfreeaccess_bool |
false |
| container_title |
Transportation science |
| authorswithroles_txt_mv |
Gomez, Andres @@aut@@ Marino, Ricardo @@oth@@ Akhavan-Tabatabaei, Raha @@oth@@ Medaglia, Andres L @@oth@@ Mendoza, Jorge E @@oth@@ |
| publishDateDaySort_date |
2016-01-01T00:00:00Z |
| hierarchy_top_id |
129362190 |
| dewey-sort |
3380 |
| id |
OLC197742189X |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC197742189X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220215180122.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160719s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1287/trsc.2015.0601</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160719</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC197742189X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC197742189X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle</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">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">380</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">55.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gomez, Andres</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">On Modeling Stochastic Travel and Service Times in Vehicle Routing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic service times</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Phase-type distributions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vehicle routing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic travel times</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Travel industry</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marino, Ricardo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Akhavan-Tabatabaei, Raha</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Medaglia, Andres L</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mendoza, Jorge E</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Transportation science</subfield><subfield code="d">Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967</subfield><subfield code="g">50(2016), 2, Seite 627-641</subfield><subfield code="w">(DE-627)129362190</subfield><subfield code="w">(DE-600)160958-0</subfield><subfield code="w">(DE-576)014734885</subfield><subfield code="x">0041-1655</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:50</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:627-641</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1287/trsc.2015.0601</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_30</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4315</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">55.80</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">50</subfield><subfield code="j">2016</subfield><subfield code="e">2</subfield><subfield code="h">627-641</subfield></datafield></record></collection>
|
| author |
Gomez, Andres |
| spellingShingle |
Gomez, Andres ddc 380 bkl 55.80 misc stochastic service times misc Phase-type distributions misc vehicle routing misc stochastic travel times misc Travel industry On Modeling Stochastic Travel and Service Times in Vehicle Routing |
| authorStr |
Gomez, Andres |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)129362190 |
| format |
Article |
| dewey-ones |
380 - Commerce, communications & transportation |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
OLC |
| remote_str |
false |
| illustrated |
Not Illustrated |
| issn |
0041-1655 |
| topic_title |
380 DNB 55.80 bkl On Modeling Stochastic Travel and Service Times in Vehicle Routing stochastic service times Phase-type distributions vehicle routing stochastic travel times Travel industry |
| topic |
ddc 380 bkl 55.80 misc stochastic service times misc Phase-type distributions misc vehicle routing misc stochastic travel times misc Travel industry |
| topic_unstemmed |
ddc 380 bkl 55.80 misc stochastic service times misc Phase-type distributions misc vehicle routing misc stochastic travel times misc Travel industry |
| topic_browse |
ddc 380 bkl 55.80 misc stochastic service times misc Phase-type distributions misc vehicle routing misc stochastic travel times misc Travel industry |
| format_facet |
Aufsätze Gedruckte Aufsätze |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
nc |
| author2_variant |
r m rm r a t rat a l m al alm j e m je jem |
| hierarchy_parent_title |
Transportation science |
| hierarchy_parent_id |
129362190 |
| dewey-tens |
380 - Commerce, communications & transportation |
| hierarchy_top_title |
Transportation science |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)129362190 (DE-600)160958-0 (DE-576)014734885 |
| title |
On Modeling Stochastic Travel and Service Times in Vehicle Routing |
| ctrlnum |
(DE-627)OLC197742189X (DE-599)GBVOLC197742189X (PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0 (KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle |
| title_full |
On Modeling Stochastic Travel and Service Times in Vehicle Routing |
| author_sort |
Gomez, Andres |
| journal |
Transportation science |
| journalStr |
Transportation science |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
300 - Social sciences |
| recordtype |
marc |
| publishDateSort |
2016 |
| contenttype_str_mv |
txt |
| container_start_page |
627 |
| author_browse |
Gomez, Andres |
| container_volume |
50 |
| class |
380 DNB 55.80 bkl |
| format_se |
Aufsätze |
| author-letter |
Gomez, Andres |
| doi_str_mv |
10.1287/trsc.2015.0601 |
| dewey-full |
380 |
| title_sort |
on modeling stochastic travel and service times in vehicle routing |
| title_auth |
On Modeling Stochastic Travel and Service Times in Vehicle Routing |
| abstract |
Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. |
| abstractGer |
Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. |
| abstract_unstemmed |
Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions. |
| collection_details |
GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-TEC SSG-OLC-GEO SSG-OLC-WIW GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_30 GBV_ILN_40 GBV_ILN_60 GBV_ILN_70 GBV_ILN_2006 GBV_ILN_4046 GBV_ILN_4126 GBV_ILN_4315 GBV_ILN_4324 GBV_ILN_4326 |
| container_issue |
2 |
| title_short |
On Modeling Stochastic Travel and Service Times in Vehicle Routing |
| url |
http://dx.doi.org/10.1287/trsc.2015.0601 |
| remote_bool |
false |
| author2 |
Marino, Ricardo Akhavan-Tabatabaei, Raha Medaglia, Andres L Mendoza, Jorge E |
| author2Str |
Marino, Ricardo Akhavan-Tabatabaei, Raha Medaglia, Andres L Mendoza, Jorge E |
| ppnlink |
129362190 |
| mediatype_str_mv |
n |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth |
| doi_str |
10.1287/trsc.2015.0601 |
| up_date |
2024-07-03T18:13:56.398Z |
| _version_ |
1803582634879614976 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a2200265 4500</leader><controlfield tag="001">OLC197742189X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20220215180122.0</controlfield><controlfield tag="007">tu</controlfield><controlfield tag="008">160719s2016 xx ||||| 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1287/trsc.2015.0601</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">PQ20160719</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)OLC197742189X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)GBVOLC197742189X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PRQ)g855-a37200461f061412675b94bf3438bb4d041b8d55fb979dd8918c7ef36bcda86b0</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(KEY)0040989820160000050000200627onmodelingstochastictravelandservicetimesinvehicle</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">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">380</subfield><subfield code="q">DNB</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">55.80</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Gomez, Andres</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">On Modeling Stochastic Travel and Service Times in Vehicle Routing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2016</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">ohne Hilfsmittel zu benutzen</subfield><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Band</subfield><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Vehicle routing problems with stochastic travel and service times (VRPSTT) consist of designing transportation routes of minimal expected cost over a network where travel and service times are represented by random variables. Most of the existing approaches for VRPSTT are conceived to exploit the properties of the distributions assumed for the random variables. Therefore, these methods are tied to a given family of distributions and subject to strong modeling assumptions. We propose an alternative way to model travel and service times in VRPSTT without making many assumptions regarding such distributions. To illustrate our approach, we embed it into a state-of-the-art routing engine and use it to conduct experiments on instances with different travel and service time distributions.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic service times</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Phase-type distributions</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">vehicle routing</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">stochastic travel times</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Travel industry</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Marino, Ricardo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Akhavan-Tabatabaei, Raha</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Medaglia, Andres L</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mendoza, Jorge E</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Transportation science</subfield><subfield code="d">Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, 1967</subfield><subfield code="g">50(2016), 2, Seite 627-641</subfield><subfield code="w">(DE-627)129362190</subfield><subfield code="w">(DE-600)160958-0</subfield><subfield code="w">(DE-576)014734885</subfield><subfield code="x">0041-1655</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:50</subfield><subfield code="g">year:2016</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:627-641</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1287/trsc.2015.0601</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-ARC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-WIW</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_21</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_26</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_30</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4315</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">55.80</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">50</subfield><subfield code="j">2016</subfield><subfield code="e">2</subfield><subfield code="h">627-641</subfield></datafield></record></collection>
|
| score |
7.4004526 |