A chance-constrained two-stage stochastic programming model for humanitarian relief network design
•Introduce a new risk-averse stochastic pre-disaster relief network design problem.•Develop a novel chance-constrained two-stage stochastic programming model.•Hybrid stochastic approach with qualitative and quantitative aspects of risk.•A flexible approach to model preferences based on multiple stoc...
Gespeichert in:
| Veröffentlicht in: | Transportation research. Part B: methodological Jg. 108; S. 55 - 83 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Elsevier Ltd
01.02.2018
Elsevier Science Ltd |
| Schlagworte: | |
| ISSN: | 0191-2615, 1879-2367 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | •Introduce a new risk-averse stochastic pre-disaster relief network design problem.•Develop a novel chance-constrained two-stage stochastic programming model.•Hybrid stochastic approach with qualitative and quantitative aspects of risk.•A flexible approach to model preferences based on multiple stochastic criteria.•Develop an effective exact Benders decomposition-based branch-and-cut algorithm.
We consider a stochastic pre-disaster relief network design problem, which mainly determines the capacities and locations of the response facilities and their inventory levels of the relief supplies in the presence of uncertainty in post-disaster demands and transportation network conditions. In contrast to the traditional humanitarian logistics literature, we develop a chance-constrained two-stage mean-risk stochastic programming model. This risk-averse model features a mean-risk objective, where the conditional value-at-risk (CVaR) is specified as the risk measure, and enforces a joint probabilistic constraint on the feasibility of the second-stage problem concerned with distributing the relief supplies to the affected areas in case of a disaster. To solve this computationally challenging stochastic optimization model, we employ an exact Benders decomposition-based branch-and-cut algorithm. We develop three variants of the proposed algorithm by using alternative representations of CVaR. We illustrate the application of our model and solution methods on a case study concerning the threat of hurricanes in the Southeastern part of the United States. An extensive computational study provides practical insights about the proposed modeling approach and demonstrates the computational effectiveness of the solution framework. |
|---|---|
| AbstractList | •Introduce a new risk-averse stochastic pre-disaster relief network design problem.•Develop a novel chance-constrained two-stage stochastic programming model.•Hybrid stochastic approach with qualitative and quantitative aspects of risk.•A flexible approach to model preferences based on multiple stochastic criteria.•Develop an effective exact Benders decomposition-based branch-and-cut algorithm.
We consider a stochastic pre-disaster relief network design problem, which mainly determines the capacities and locations of the response facilities and their inventory levels of the relief supplies in the presence of uncertainty in post-disaster demands and transportation network conditions. In contrast to the traditional humanitarian logistics literature, we develop a chance-constrained two-stage mean-risk stochastic programming model. This risk-averse model features a mean-risk objective, where the conditional value-at-risk (CVaR) is specified as the risk measure, and enforces a joint probabilistic constraint on the feasibility of the second-stage problem concerned with distributing the relief supplies to the affected areas in case of a disaster. To solve this computationally challenging stochastic optimization model, we employ an exact Benders decomposition-based branch-and-cut algorithm. We develop three variants of the proposed algorithm by using alternative representations of CVaR. We illustrate the application of our model and solution methods on a case study concerning the threat of hurricanes in the Southeastern part of the United States. An extensive computational study provides practical insights about the proposed modeling approach and demonstrates the computational effectiveness of the solution framework. We consider a stochastic pre-disaster relief network design problem, which mainly determines the capacities and locations of the response facilities and their inventory levels of the relief supplies in the presence of uncertainty in post-disaster demands and transportation network conditions. In contrast to the traditional humanitarian logistics literature, we develop a chance-constrained two-stage mean-risk stochastic programming model. This risk-averse model features a mean-risk objective, where the conditional value-at-risk (CVaR) is specified as the risk measure, and enforces a joint probabilistic constraint on the feasibility of the second-stage problem concerned with distributing the relief supplies to the affected areas in case of a disaster. To solve this computationally challenging stochastic optimization model, we employ an exact Benders decomposition-based branch-and-cut algorithm. We develop three variants of the proposed algorithm by using alternative representations of CVaR. We illustrate the application of our model and solution methods on a case study concerning the threat of hurricanes in the Southeastern part of the United States. An extensive computational study provides practical insights about the proposed modeling approach and demonstrates the computational effectiveness of the solution framework. |
| Author | Elçi, Özgün Noyan, Nilay |
| Author_xml | – sequence: 1 givenname: Özgün surname: Elçi fullname: Elçi, Özgün organization: Industrial Engineering Program, Sabancı University, Istanbul 34956, Turkey – sequence: 2 givenname: Nilay surname: Noyan fullname: Noyan, Nilay email: nnoyan@sabanciuniv.edu organization: Industrial Engineering Program, Sabancı University, Istanbul 34956, Turkey |
| BookMark | eNp9kD1PwzAQhi0EEqXwA9gsMSeckzR2xFRVfEmVWGC2HOfcujR2sV0Q_x5XZWJguuHuubv3uSCnzjsk5JpByYC1t5syhb6sgPGSVSVAdUImTPCuqOqWn5IJsI4VVctm5-Qixg0A1A2wCennVK-V01ho72IKyjocaPryRUxqhTQmn_sxWU13wa-CGkfrVnT0A26p8YGu96NyNqlglaMBtxYNdZgXhHc6YLQrd0nOjNpGvPqtU_L2cP-6eCqWL4_Pi_my0E3LUyEGzEl6Dlz1g9ANU7XigoOeCdEYM6gZx7ZTHHoUgvNO9A1HU9dd32FrGlNPyc1xb370Y48xyY3fB5dPygraGbRQ15Cn2HFKBx9jQCN3wY4qfEsG8qBSbmRWKQ8qJatkVpkZ_ofROXGy3h2Ebf8l744k5uCfFoOM2mLWPdiAOsnB23_oHzJ6kfA |
| CitedBy_id | crossref_primary_10_1007_s10951_020_00661_8 crossref_primary_10_1002_cpe_70052 crossref_primary_10_1108_JHLSCM_01_2023_0005 crossref_primary_10_1109_TITS_2023_3342319 crossref_primary_10_1016_j_tre_2020_102201 crossref_primary_10_1111_itor_13267 crossref_primary_10_1016_j_tre_2021_102602 crossref_primary_10_1080_00207543_2025_2455448 crossref_primary_10_1108_IJES_04_2021_0022 crossref_primary_10_1016_j_trc_2024_104862 crossref_primary_10_1016_j_ejco_2022_100030 crossref_primary_10_1287_ijoc_2021_1113 crossref_primary_10_3390_su15108035 crossref_primary_10_1007_s40092_019_0317_7 crossref_primary_10_1061__ASCE_WR_1943_5452_0001293 crossref_primary_10_1016_j_trb_2018_11_012 crossref_primary_10_1016_j_cor_2024_106829 crossref_primary_10_1007_s10732_025_09566_1 crossref_primary_10_1016_j_tre_2020_102178 crossref_primary_10_1108_JHLSCM_07_2024_0091 crossref_primary_10_1111_itor_12726 crossref_primary_10_1007_s12063_024_00506_z crossref_primary_10_1016_j_tre_2024_103538 crossref_primary_10_1016_j_cie_2025_111234 crossref_primary_10_1016_j_cie_2024_110339 crossref_primary_10_1016_j_tre_2025_104054 crossref_primary_10_1111_itor_13486 crossref_primary_10_1016_j_ijcip_2021_100408 crossref_primary_10_1287_msom_2023_1230 crossref_primary_10_1016_j_ejor_2025_04_030 crossref_primary_10_1016_j_omega_2023_102959 crossref_primary_10_3390_sym17070999 crossref_primary_10_1007_s10107_019_01373_4 crossref_primary_10_1016_j_tre_2023_103357 crossref_primary_10_1080_24725854_2021_1910883 crossref_primary_10_1007_s10479_021_04191_0 crossref_primary_10_1007_s12351_022_00724_y crossref_primary_10_1007_s00291_020_00613_w crossref_primary_10_1007_s00291_020_00616_7 crossref_primary_10_1007_s00291_023_00705_3 crossref_primary_10_1016_j_cie_2020_106782 crossref_primary_10_1016_j_ejor_2019_09_008 crossref_primary_10_1016_j_oceaneng_2022_113254 crossref_primary_10_1016_j_omega_2019_102154 crossref_primary_10_1007_s00291_023_00726_y crossref_primary_10_1016_j_aei_2025_103201 crossref_primary_10_1016_j_tre_2021_102332 crossref_primary_10_1016_j_tra_2020_05_012 crossref_primary_10_1016_j_egyr_2025_02_001 crossref_primary_10_1287_ijoc_2022_1184 crossref_primary_10_1080_23249935_2023_2210229 crossref_primary_10_1007_s10479_019_03506_6 crossref_primary_10_1108_JEIM_09_2019_0310 crossref_primary_10_3390_ijerph20031765 crossref_primary_10_1016_j_cor_2021_105292 crossref_primary_10_1016_j_eswa_2025_127960 crossref_primary_10_3390_a15060217 crossref_primary_10_1186_s41018_024_00163_8 crossref_primary_10_1016_j_trb_2023_102805 crossref_primary_10_1080_24725854_2022_2074577 crossref_primary_10_1007_s00500_023_09184_8 crossref_primary_10_1016_j_eswa_2025_126647 crossref_primary_10_1080_24725854_2018_1496372 crossref_primary_10_1016_j_aei_2020_101223 crossref_primary_10_1111_itor_13227 crossref_primary_10_1016_j_tre_2021_102521 crossref_primary_10_1080_24725854_2022_2026539 crossref_primary_10_1016_j_eswa_2023_119715 crossref_primary_10_1016_j_tre_2024_103501 crossref_primary_10_3390_systems12060216 crossref_primary_10_1111_poms_13136 crossref_primary_10_1016_j_seps_2019_07_003 crossref_primary_10_1016_j_tre_2023_103296 crossref_primary_10_3390_w15112122 crossref_primary_10_1007_s11590_024_02175_0 crossref_primary_10_1080_23302674_2024_2437154 crossref_primary_10_1016_j_cam_2021_113760 crossref_primary_10_1080_00207721_2023_2168144 crossref_primary_10_3390_en15062003 crossref_primary_10_1016_j_seps_2021_101214 crossref_primary_10_1016_j_tre_2020_102015 crossref_primary_10_1016_j_ijdrr_2021_102522 crossref_primary_10_1016_j_tre_2024_103452 crossref_primary_10_1016_j_jclepro_2024_141563 crossref_primary_10_1080_24725854_2025_2491495 crossref_primary_10_1007_s11356_020_11891_w crossref_primary_10_1016_j_ijdrr_2024_104364 crossref_primary_10_3390_ijerph16204007 crossref_primary_10_1080_03081060_2023_2268601 crossref_primary_10_3390_axioms14060456 crossref_primary_10_1007_s10589_024_00593_5 crossref_primary_10_1016_j_cor_2021_105356 crossref_primary_10_1016_j_seps_2019_100745 crossref_primary_10_1016_j_trb_2022_03_004 crossref_primary_10_1080_24725854_2018_1540900 crossref_primary_10_1016_j_ejor_2019_07_029 crossref_primary_10_1016_j_trb_2024_102906 crossref_primary_10_1016_j_seps_2022_101302 crossref_primary_10_1080_00207543_2021_2013559 crossref_primary_10_29109_gujsc_1374303 crossref_primary_10_1016_j_seps_2023_101669 crossref_primary_10_1016_j_eswa_2024_124802 crossref_primary_10_1111_itor_13324 crossref_primary_10_1016_j_jer_2025_01_011 crossref_primary_10_1016_j_omega_2023_102871 crossref_primary_10_1016_j_tre_2022_102781 crossref_primary_10_1007_s11590_019_01401_4 crossref_primary_10_1016_j_omega_2021_102393 crossref_primary_10_1016_j_trc_2023_104401 crossref_primary_10_1016_j_compchemeng_2025_109323 crossref_primary_10_1016_j_tre_2018_03_012 crossref_primary_10_1109_ACCESS_2020_2990340 crossref_primary_10_1016_j_ejor_2022_05_046 crossref_primary_10_1080_03155986_2025_2555772 crossref_primary_10_1016_j_trb_2019_03_014 crossref_primary_10_1016_j_seps_2022_101498 crossref_primary_10_1016_j_trb_2021_01_005 crossref_primary_10_1016_j_seps_2021_101119 crossref_primary_10_1108_JM2_10_2023_0252 crossref_primary_10_1080_00207543_2021_1995793 crossref_primary_10_1016_j_trb_2022_11_008 crossref_primary_10_1007_s43684_025_00104_1 crossref_primary_10_1016_j_tre_2023_103025 crossref_primary_10_1016_j_ejor_2019_07_045 crossref_primary_10_1016_j_tre_2024_103558 crossref_primary_10_1080_23249935_2023_2299684 crossref_primary_10_1016_j_tre_2024_103957 crossref_primary_10_1016_j_cor_2018_03_011 crossref_primary_10_1016_j_ejor_2021_11_028 crossref_primary_10_3390_en15030743 crossref_primary_10_1016_j_cie_2024_110826 crossref_primary_10_1016_j_seps_2022_101496 crossref_primary_10_1016_j_omega_2024_103111 |
| Cites_doi | 10.1111/1467-9965.00068 10.1016/S0378-4266(02)00281-9 10.1016/j.seps.2011.04.004 10.1287/opre.1100.0847 10.1111/j.1937-5956.2009.01119.x 10.1007/s10107-013-0684-6 10.1016/j.cor.2011.03.017 10.1007/s11590-011-0421-0 10.1016/j.ejor.2011.10.056 10.1007/s10107-005-0658-4 10.1080/0740817X.2014.919044 10.21314/JOR.2000.038 10.1016/S0927-0507(03)10005-9 10.1007/s10107-005-0638-8 10.1016/j.ejor.2007.02.052 10.1287/ijoc.2015.0684 10.1080/13675560701561789 10.1137/0117061 10.1287/trsc.2015.0621 10.1016/j.trb.2009.08.003 10.1007/PL00011430 10.1007/s10287-005-0042-0 10.1007/s00291-011-0248-1 10.1007/s10287-005-0007-3 10.1287/opre.2015.1434 10.1016/j.ijpe.2009.10.004 10.1007/s101070000154. 10.1007/s10107-014-0832-7 10.1016/j.ejor.2016.12.005 |
| ContentType | Journal Article |
| Copyright | 2017 Elsevier Ltd Copyright Elsevier Science Ltd. Feb 2018 |
| Copyright_xml | – notice: 2017 Elsevier Ltd – notice: Copyright Elsevier Science Ltd. Feb 2018 |
| DBID | AAYXX CITATION 7ST 8FD C1K FR3 KR7 SOI |
| DOI | 10.1016/j.trb.2017.12.002 |
| DatabaseName | CrossRef Environment Abstracts Technology Research Database Environmental Sciences and Pollution Management Engineering Research Database Civil Engineering Abstracts Environment Abstracts |
| DatabaseTitle | CrossRef Civil Engineering Abstracts Engineering Research Database Technology Research Database Environment Abstracts Environmental Sciences and Pollution Management |
| DatabaseTitleList | Civil Engineering Abstracts |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics Engineering |
| EISSN | 1879-2367 |
| EndPage | 83 |
| ExternalDocumentID | 10_1016_j_trb_2017_12_002 S0191261517302308 |
| GeographicLocations | United States--US |
| GeographicLocations_xml | – name: United States--US |
| GroupedDBID | --K --M -~X .DC .~1 0R~ 123 1B1 1RT 1~. 1~5 29Q 4.4 457 4G. 5VS 7-5 71M 8P~ 9JO AAAKF AAAKG AACTN AAEDT AAEDW AAFJI AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAQXK AARIN AAXUO ABDEX ABDMP ABFNM ABLJU ABMAC ABMMH ABPPZ ABUCO ABXDB ABYKQ ACDAQ ACGFS ACNCT ACRLP ADBBV ADEZE ADMUD AEBSH AEKER AFKWA AFTJW AGHFR AGUBO AGYEJ AHHHB AHRSL AIEXJ AIKHN AITUG AJBFU AJOXV AKYCK ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOMHK APLSM ASPBG AVARZ AVWKF AXJTR AZFZN BKOJK BLXMC CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HAMUX HMY HVGLF HZ~ H~9 IHE J1W KOM LY1 LY7 M3Y M41 MO0 MS~ N9A O-L O9- OAUVE OHT OZT P-8 P-9 P2P PC. PRBVW Q38 R2- RIG ROL RPZ SDF SDG SDP SDS SES SET SEW SPCBC SSB SSD SSO SSS SSZ T5K WUQ XPP ~G- 9DU AATTM AAXKI AAYWO AAYXX ABWVN ACLOT ACRPL ADNMO AEIPS AFJKZ AGQPQ AIIUN ANKPU APXCP CITATION EFKBS ~HD 7ST 8FD AGCQF C1K FR3 KR7 SOI |
| ID | FETCH-LOGICAL-c467t-8de101b707abd8c41a3a7870c5884ffda57e69a70be887798b47ef339b9e6f4f3 |
| ISICitedReferencesCount | 136 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000424178800004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0191-2615 |
| IngestDate | Wed Aug 13 11:14:48 EDT 2025 Tue Nov 18 21:25:19 EST 2025 Sat Nov 29 05:58:22 EST 2025 Fri Feb 23 02:33:22 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Humanitarian logistics Conditional value-at-risk Risk-averse Probabilistic constraint Benders decomposition Two-stage stochastic programming |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c467t-8de101b707abd8c41a3a7870c5884ffda57e69a70be887798b47ef339b9e6f4f3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 2065060330 |
| PQPubID | 2047452 |
| PageCount | 29 |
| ParticipantIDs | proquest_journals_2065060330 crossref_primary_10_1016_j_trb_2017_12_002 crossref_citationtrail_10_1016_j_trb_2017_12_002 elsevier_sciencedirect_doi_10_1016_j_trb_2017_12_002 |
| PublicationCentury | 2000 |
| PublicationDate | 2018-02-01 |
| PublicationDateYYYYMMDD | 2018-02-01 |
| PublicationDate_xml | – month: 02 year: 2018 text: 2018-02-01 day: 01 |
| PublicationDecade | 2010 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford |
| PublicationTitle | Transportation research. Part B: methodological |
| PublicationYear | 2018 |
| Publisher | Elsevier Ltd Elsevier Science Ltd |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier Science Ltd |
| References | Shapiro, Dentcheva, Ruszczyński (bib0037) 2009 Artzner, Delbaen, Eber, Heath (bib0003) 1999; 9 Caunhye, Nie, Pokharel (bib0009) 2012; 46 Klein Haneveld, Van der Vlerk (bib0016) 2006; 3 Last viewed on 01/02/2017. Van Slyke, Wets (bib0038) 1969; 17 Acerbi (bib0001) 2002; 26 Hong, Lejeune, Noyan (bib0014) 2015; 47 Bodur, Luedtke (bib0007) 2016 Luedtke (bib0020) 2014; 146 Liberatore, Pizarro, Blas, Ortuño, Vitoriano (bib0018) 2013 Künzi-Bay, Mayer (bib0017) 2006; 3 Atamtürk, Nemhauser, Savelsbergh (bib0004) 2000; 89 Prékopa (bib0026) 1980; 179 Rawls, Turnquist (bib0031) 2010; 44 Fábián (bib0012) 2008; 191 Prékopa, Unuvar (bib0029) 2015; 63 Rahmaniani, Crainic, Gendreau, Rei (bib0030) 2017; 259 Miller, Ruszczyński (bib0022) 2011; 59 Zhang, Rahimian, Bayraksan (bib0039) 2016; 28 Ahmed (bib0002) 2006; 106 Birge, Louveaux (bib0006) 1997 Prékopa (bib0028) 2003 Mete, Zabinsky (bib0021) 2010; 126 Liu, Küçükyavuz, Luedtke (bib0019) 2016; 157 Schultz, Tiedemann (bib0036) 2006; 105 IBM ILOG CPLEX, 2014. IBM ILOG CPLEX Optimization Studio 12.6 Information Center. Salmerón, Apte (bib0035) 2010; 19 Günlük, Pochet (bib0013) 2001; 90 Rockafellar (bib0033) 2007 Noyan (bib0023) 2012; 39 Rawls, Turnquist (bib0032) 2011; 33 . Philpott, de Matos (bib0025) 2012; 218 Prékopa (bib0027) 1995 Balcik, Beamon (bib0005) 2008; 11 Rockafellar, Uryasev (bib0034) 2000; 2 Döyen, Aras, Barbarosoğlu (bib0011) 2012; 6 Bülbül, K., Kucukyavuz, S., Noyan, N., Şen, H., 2016. A two-stage chance-constrained mean-risk stochastic programming model for single-machine scheduling. Working Paper Çelik, Ergun, Johnson, Keskinocak, Lorca, Pekgün, Swann (bib0010) 2012 Noyan, Balcik, Atakan (bib0024) 2016; 50 Çelik (10.1016/j.trb.2017.12.002_bib0010) 2012 Caunhye (10.1016/j.trb.2017.12.002_sbref0008) 2012; 46 10.1016/j.trb.2017.12.002_bib0015 Hong (10.1016/j.trb.2017.12.002_bib0014) 2015; 47 Fábián (10.1016/j.trb.2017.12.002_bib0012) 2008; 191 Bodur (10.1016/j.trb.2017.12.002_sbref0007) 2016 Noyan (10.1016/j.trb.2017.12.002_bib0024) 2016; 50 Atamtürk (10.1016/j.trb.2017.12.002_bib0004) 2000; 89 Rawls (10.1016/j.trb.2017.12.002_bib0031) 2010; 44 Ahmed (10.1016/j.trb.2017.12.002_bib0002) 2006; 106 Mete (10.1016/j.trb.2017.12.002_bib0021) 2010; 126 Prékopa (10.1016/j.trb.2017.12.002_bib0026) 1980; 179 Artzner (10.1016/j.trb.2017.12.002_bib0003) 1999; 9 Balcik (10.1016/j.trb.2017.12.002_bib0005) 2008; 11 Salmerón (10.1016/j.trb.2017.12.002_bib0035) 2010; 19 Philpott (10.1016/j.trb.2017.12.002_bib0025) 2012; 218 Döyen (10.1016/j.trb.2017.12.002_bib0011) 2012; 6 Prékopa (10.1016/j.trb.2017.12.002_bib0027) 1995 Rockafellar (10.1016/j.trb.2017.12.002_bib0033) 2007 Birge (10.1016/j.trb.2017.12.002_bib0006) 1997 Günlük (10.1016/j.trb.2017.12.002_bib0013) 2001; 90 Luedtke (10.1016/j.trb.2017.12.002_bib0020) 2014; 146 Miller (10.1016/j.trb.2017.12.002_bib0022) 2011; 59 Rahmaniani (10.1016/j.trb.2017.12.002_bib0030) 2017; 259 Rockafellar (10.1016/j.trb.2017.12.002_bib0034) 2000; 2 Liberatore (10.1016/j.trb.2017.12.002_bib0018) 2013 Noyan (10.1016/j.trb.2017.12.002_bib0023) 2012; 39 10.1016/j.trb.2017.12.002_bib0008 Klein Haneveld (10.1016/j.trb.2017.12.002_bib0016) 2006; 3 Liu (10.1016/j.trb.2017.12.002_bib0019) 2016; 157 Schultz (10.1016/j.trb.2017.12.002_sbref0034) 2006; 105 Acerbi (10.1016/j.trb.2017.12.002_bib0001) 2002; 26 Van Slyke (10.1016/j.trb.2017.12.002_bib0038) 1969; 17 Prékopa (10.1016/j.trb.2017.12.002_bib0029) 2015; 63 Künzi-Bay (10.1016/j.trb.2017.12.002_bib0017) 2006; 3 Shapiro (10.1016/j.trb.2017.12.002_bib0037) 2009 Rawls (10.1016/j.trb.2017.12.002_sbref0030) 2011; 33 Prékopa (10.1016/j.trb.2017.12.002_sbref0026) 2003 Zhang (10.1016/j.trb.2017.12.002_bib0039) 2016; 28 |
| References_xml | – year: 2016 ident: bib0007 article-title: Mixed-integer rounding enhanced benders decomposition for multiclass service-system staffing and scheduling with arrival rate uncertainty publication-title: Manag. Sci. – start-page: 267 year: 2003 end-page: 351 ident: bib0028 article-title: Handbooks in Operations Research and Management Science, vol.10 – start-page: 45 year: 2013 end-page: 74 ident: bib0018 article-title: Decision Aid Models for Disaster Management and Emergencies – volume: 46 start-page: 4 year: 2012 end-page: 13 ident: bib0009 article-title: Optimization models in emergency logistics: a literature review publication-title: Socio Econ. Plann. Sci. – volume: 191 start-page: 888 year: 2008 end-page: 911 ident: bib0012 article-title: Handling cvar objectives and constraints in two-stage stochastic models publication-title: Eur. J. Oper. Res. – reference: Bülbül, K., Kucukyavuz, S., Noyan, N., Şen, H., 2016. A two-stage chance-constrained mean-risk stochastic programming model for single-machine scheduling. Working Paper, – start-page: 18 year: 2012 end-page: 49 ident: bib0010 article-title: Humanitarian Logistics publication-title: Tutorials in Operations Research – volume: 2 start-page: 21 year: 2000 end-page: 41 ident: bib0034 article-title: Optimization of conditional value at risk publication-title: The J. Risk – volume: 47 start-page: 329 year: 2015 end-page: 357 ident: bib0014 article-title: Stochastic network design for disaster preparedness publication-title: IIE Trans. – volume: 50 start-page: 1092 year: 2016 end-page: 1113 ident: bib0024 article-title: A stochastic optimization model for designing last mile relief networks publication-title: Transportation Science – year: 1997 ident: bib0006 article-title: Introduction to Stochastic Programming – volume: 90 start-page: 429 year: 2001 end-page: 457 ident: bib0013 article-title: Mixing mixed-integer inequalities publication-title: Math. Program. – volume: 218 start-page: 470 year: 2012 end-page: 483 ident: bib0025 article-title: Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion publication-title: Eur. J. Oper. Res. – year: 1995 ident: bib0027 article-title: Stochastic Programming – volume: 259 start-page: 801 year: 2017 end-page: 817 ident: bib0030 article-title: The benders decomposition algorithm: a literature review publication-title: Eur. J. Oper. Res. – volume: 146 start-page: 219 year: 2014 end-page: 244 ident: bib0020 article-title: A branch-and-cut decomposition algorithm for solving chance-constrained mathematical programs with finite support publication-title: Math. Program. – volume: 33 year: 2011 ident: bib0032 article-title: Pre-positioning planning for emergency response with service quality constraints publication-title: OR Spectrum – volume: 11 start-page: 101 year: 2008 end-page: 121 ident: bib0005 article-title: Facility location in humanitarian relief publication-title: Int. J. Logistics – volume: 126 start-page: 76 year: 2010 end-page: 84 ident: bib0021 article-title: Stochastic optimization of medical supply location and distribution in disaster management publication-title: Int. J. Prod. Econ. – volume: 106 start-page: 433 year: 2006 end-page: 446 ident: bib0002 article-title: Convexity and decomposition of mean-risk stochastic programs publication-title: Math. Program – volume: 3 start-page: 3 year: 2006 end-page: 27 ident: bib0017 article-title: Computational aspects of minimizing conditional value-at-risk publication-title: Comput. Manag. Sci. – volume: 19 start-page: 561 year: 2010 end-page: 574 ident: bib0035 article-title: Stochastic optimization for natural disaster asset prepositioning publication-title: Prod. Oper. Manag. – reference: . Last viewed on 01/02/2017. – volume: 89 start-page: 35 year: 2000 end-page: 53 ident: bib0004 article-title: The mixed vertex packing problem publication-title: Math. Program – volume: 26 start-page: 1505 year: 2002 end-page: 1518 ident: bib0001 article-title: Spectral measures of risk: a coherent representation of subjective risk aversion publication-title: J. Banking Fin. – volume: 9 start-page: 203 year: 1999 end-page: 228 ident: bib0003 article-title: Coherent measures of risk publication-title: Math. Fin. – volume: 105 start-page: 365 year: 2006 end-page: 386 ident: bib0036 article-title: Conditional value-at-risk in stochastic programs with mixed-integer recourse publication-title: Math. Program. – volume: 59 start-page: 125 year: 2011 end-page: 132 ident: bib0022 article-title: Risk-averse two-stage stochastic linear programming: modeling and decomposition publication-title: Oper. Res. – reference: IBM ILOG CPLEX, 2014. IBM ILOG CPLEX Optimization Studio 12.6 Information Center. – reference: . – volume: 63 start-page: 1512 year: 2015 end-page: 1527 ident: bib0029 article-title: Single commodity stochastic network design under probabilistic constraint with discrete random variables publication-title: Oper. Res. – start-page: 38 year: 2007 end-page: 61 ident: bib0033 article-title: Coherent Approaches to Risk in Optimization under Uncertainty publication-title: Tutorials in Operations Research – year: 2009 ident: bib0037 article-title: Lectures on Stochastic Programming: Modeling and Theory – volume: 3 start-page: 245 year: 2006 end-page: 269 ident: bib0016 article-title: Integrated chance constraints: reduced forms and an algorithm publication-title: Comput. Manag. Sci. – volume: 28 start-page: 385 year: 2016 end-page: 404 ident: bib0039 article-title: Decomposition algorithms for risk-averse multistage stochastic programs with application to water allocation under uncertainty publication-title: INFORMS J. Comput. – volume: 17 start-page: 638 year: 1969 end-page: 663 ident: bib0038 article-title: L-Shaped linear programs with applications to optimal control and stochastic programming publication-title: SIAM J. Appl. Math. – volume: 6 start-page: 1123 year: 2012 end-page: 1145 ident: bib0011 article-title: A two-echelon stochastic facility location model for humanitarian relief logistics publication-title: Optim. Lett. – volume: 157 start-page: 219 year: 2016 end-page: 243 ident: bib0019 article-title: Decomposition algorithms for two-stage chance-constrained programs publication-title: Math. Program. – volume: 44 start-page: 521 year: 2010 end-page: 534 ident: bib0031 article-title: Pre-positioning of emergency supplies for disaster response publication-title: Transp. Res. Part B – volume: 39 start-page: 541 year: 2012 end-page: 559 ident: bib0023 article-title: Risk-averse two-stage stochastic programming with an application to disaster management publication-title: Comput. Oper. Res. – volume: 179 start-page: 215 year: 1980 end-page: 237 ident: bib0026 article-title: Network Planning Using Two-stage Programming under Uncertainty publication-title: Recent results in stochastic programming (Proc. Meeting, Oberwolfach, 1979) – volume: 9 start-page: 203 issue: 3 year: 1999 ident: 10.1016/j.trb.2017.12.002_bib0003 article-title: Coherent measures of risk publication-title: Math. Fin. doi: 10.1111/1467-9965.00068 – ident: 10.1016/j.trb.2017.12.002_bib0015 – volume: 26 start-page: 1505 issue: 7 year: 2002 ident: 10.1016/j.trb.2017.12.002_bib0001 article-title: Spectral measures of risk: a coherent representation of subjective risk aversion publication-title: J. Banking Fin. doi: 10.1016/S0378-4266(02)00281-9 – volume: 46 start-page: 4 issue: 1 year: 2012 ident: 10.1016/j.trb.2017.12.002_sbref0008 article-title: Optimization models in emergency logistics: a literature review publication-title: Socio Econ. Plann. Sci. doi: 10.1016/j.seps.2011.04.004 – volume: 59 start-page: 125 issue: 1 year: 2011 ident: 10.1016/j.trb.2017.12.002_bib0022 article-title: Risk-averse two-stage stochastic linear programming: modeling and decomposition publication-title: Oper. Res. doi: 10.1287/opre.1100.0847 – volume: 19 start-page: 561 issue: 5 year: 2010 ident: 10.1016/j.trb.2017.12.002_bib0035 article-title: Stochastic optimization for natural disaster asset prepositioning publication-title: Prod. Oper. Manag. doi: 10.1111/j.1937-5956.2009.01119.x – volume: 146 start-page: 219 issue: 1–2 year: 2014 ident: 10.1016/j.trb.2017.12.002_bib0020 article-title: A branch-and-cut decomposition algorithm for solving chance-constrained mathematical programs with finite support publication-title: Math. Program. doi: 10.1007/s10107-013-0684-6 – volume: 39 start-page: 541 issue: 3 year: 2012 ident: 10.1016/j.trb.2017.12.002_bib0023 article-title: Risk-averse two-stage stochastic programming with an application to disaster management publication-title: Comput. Oper. Res. doi: 10.1016/j.cor.2011.03.017 – volume: 6 start-page: 1123 issue: 6 year: 2012 ident: 10.1016/j.trb.2017.12.002_bib0011 article-title: A two-echelon stochastic facility location model for humanitarian relief logistics publication-title: Optim. Lett. doi: 10.1007/s11590-011-0421-0 – volume: 218 start-page: 470 issue: 2 year: 2012 ident: 10.1016/j.trb.2017.12.002_bib0025 article-title: Dynamic sampling algorithms for multi-stage stochastic programs with risk aversion publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2011.10.056 – volume: 105 start-page: 365 issue: 2 year: 2006 ident: 10.1016/j.trb.2017.12.002_sbref0034 article-title: Conditional value-at-risk in stochastic programs with mixed-integer recourse publication-title: Math. Program. doi: 10.1007/s10107-005-0658-4 – volume: 47 start-page: 329 issue: 4 year: 2015 ident: 10.1016/j.trb.2017.12.002_bib0014 article-title: Stochastic network design for disaster preparedness publication-title: IIE Trans. doi: 10.1080/0740817X.2014.919044 – year: 1997 ident: 10.1016/j.trb.2017.12.002_bib0006 – volume: 2 start-page: 21 issue: 3 year: 2000 ident: 10.1016/j.trb.2017.12.002_bib0034 article-title: Optimization of conditional value at risk publication-title: The J. Risk doi: 10.21314/JOR.2000.038 – start-page: 267 year: 2003 ident: 10.1016/j.trb.2017.12.002_sbref0026 doi: 10.1016/S0927-0507(03)10005-9 – start-page: 38 year: 2007 ident: 10.1016/j.trb.2017.12.002_bib0033 article-title: Coherent Approaches to Risk in Optimization under Uncertainty – volume: 106 start-page: 433 issue: 3 year: 2006 ident: 10.1016/j.trb.2017.12.002_bib0002 article-title: Convexity and decomposition of mean-risk stochastic programs publication-title: Math. Program doi: 10.1007/s10107-005-0638-8 – year: 2016 ident: 10.1016/j.trb.2017.12.002_sbref0007 article-title: Mixed-integer rounding enhanced benders decomposition for multiclass service-system staffing and scheduling with arrival rate uncertainty publication-title: Manag. Sci. – start-page: 45 year: 2013 ident: 10.1016/j.trb.2017.12.002_bib0018 – year: 2009 ident: 10.1016/j.trb.2017.12.002_bib0037 – volume: 191 start-page: 888 issue: 3 year: 2008 ident: 10.1016/j.trb.2017.12.002_bib0012 article-title: Handling cvar objectives and constraints in two-stage stochastic models publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2007.02.052 – volume: 28 start-page: 385 issue: 3 year: 2016 ident: 10.1016/j.trb.2017.12.002_bib0039 article-title: Decomposition algorithms for risk-averse multistage stochastic programs with application to water allocation under uncertainty publication-title: INFORMS J. Comput. doi: 10.1287/ijoc.2015.0684 – volume: 11 start-page: 101 issue: 2 year: 2008 ident: 10.1016/j.trb.2017.12.002_bib0005 article-title: Facility location in humanitarian relief publication-title: Int. J. Logistics doi: 10.1080/13675560701561789 – volume: 17 start-page: 638 issue: 4 year: 1969 ident: 10.1016/j.trb.2017.12.002_bib0038 article-title: L-Shaped linear programs with applications to optimal control and stochastic programming publication-title: SIAM J. Appl. Math. doi: 10.1137/0117061 – ident: 10.1016/j.trb.2017.12.002_bib0008 – volume: 50 start-page: 1092 issue: 3 year: 2016 ident: 10.1016/j.trb.2017.12.002_bib0024 article-title: A stochastic optimization model for designing last mile relief networks publication-title: Transportation Science doi: 10.1287/trsc.2015.0621 – volume: 44 start-page: 521 issue: 4 year: 2010 ident: 10.1016/j.trb.2017.12.002_bib0031 article-title: Pre-positioning of emergency supplies for disaster response publication-title: Transp. Res. Part B doi: 10.1016/j.trb.2009.08.003 – volume: 90 start-page: 429 issue: 3 year: 2001 ident: 10.1016/j.trb.2017.12.002_bib0013 article-title: Mixing mixed-integer inequalities publication-title: Math. Program. doi: 10.1007/PL00011430 – volume: 3 start-page: 3 issue: 1 year: 2006 ident: 10.1016/j.trb.2017.12.002_bib0017 article-title: Computational aspects of minimizing conditional value-at-risk publication-title: Comput. Manag. Sci. doi: 10.1007/s10287-005-0042-0 – volume: 179 start-page: 215 year: 1980 ident: 10.1016/j.trb.2017.12.002_bib0026 article-title: Network Planning Using Two-stage Programming under Uncertainty – volume: 33 issue: 3 year: 2011 ident: 10.1016/j.trb.2017.12.002_sbref0030 article-title: Pre-positioning planning for emergency response with service quality constraints publication-title: OR Spectrum doi: 10.1007/s00291-011-0248-1 – volume: 3 start-page: 245 year: 2006 ident: 10.1016/j.trb.2017.12.002_bib0016 article-title: Integrated chance constraints: reduced forms and an algorithm publication-title: Comput. Manag. Sci. doi: 10.1007/s10287-005-0007-3 – year: 1995 ident: 10.1016/j.trb.2017.12.002_bib0027 – volume: 63 start-page: 1512 issue: 6 year: 2015 ident: 10.1016/j.trb.2017.12.002_bib0029 article-title: Single commodity stochastic network design under probabilistic constraint with discrete random variables publication-title: Oper. Res. doi: 10.1287/opre.2015.1434 – volume: 126 start-page: 76 issue: 1 year: 2010 ident: 10.1016/j.trb.2017.12.002_bib0021 article-title: Stochastic optimization of medical supply location and distribution in disaster management publication-title: Int. J. Prod. Econ. doi: 10.1016/j.ijpe.2009.10.004 – volume: 89 start-page: 35 issue: 1 year: 2000 ident: 10.1016/j.trb.2017.12.002_bib0004 article-title: The mixed vertex packing problem publication-title: Math. Program doi: 10.1007/s101070000154. – volume: 157 start-page: 219 issue: 1 year: 2016 ident: 10.1016/j.trb.2017.12.002_bib0019 article-title: Decomposition algorithms for two-stage chance-constrained programs publication-title: Math. Program. doi: 10.1007/s10107-014-0832-7 – start-page: 18 year: 2012 ident: 10.1016/j.trb.2017.12.002_bib0010 article-title: Humanitarian Logistics – volume: 259 start-page: 801 issue: 3 year: 2017 ident: 10.1016/j.trb.2017.12.002_bib0030 article-title: The benders decomposition algorithm: a literature review publication-title: Eur. J. Oper. Res. doi: 10.1016/j.ejor.2016.12.005 |
| SSID | ssj0003401 |
| Score | 2.5574234 |
| Snippet | •Introduce a new risk-averse stochastic pre-disaster relief network design problem.•Develop a novel chance-constrained two-stage stochastic programming... We consider a stochastic pre-disaster relief network design problem, which mainly determines the capacities and locations of the response facilities and their... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 55 |
| SubjectTerms | Algorithms Benders decomposition Computation Computer applications Conditional value-at-risk Disaster relief Disasters Humanitarian aid Humanitarian logistics Hurricanes Logistics Network design Probabilistic constraint Risk aversion Risk levels Risk-averse Stochastic models Stochastic programming Studies Traffic accidents & safety Two-stage stochastic programming |
| Title | A chance-constrained two-stage stochastic programming model for humanitarian relief network design |
| URI | https://dx.doi.org/10.1016/j.trb.2017.12.002 https://www.proquest.com/docview/2065060330 |
| Volume | 108 |
| WOSCitedRecordID | wos000424178800004&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1879-2367 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0003401 issn: 0191-2615 databaseCode: AIEXJ dateStart: 19950201 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF5FLRJwQFBAtBS0B05Erhw_MrvHtCoCDhESRcrNWtvrNlHqVIkpLT-A383MPmxToAIkLo5lx_Z65_PO7Ow3M4y9AlkJXZZpAKjOaIJSBqKsokCXaMopBWiD2GITMJ2K2Ux-GAy--ViYyyXUtbi6khf_VdR4DIVNobN_Ie72pngA91HouEWx4_aPBD8xwbyFDgoy_agCBNqUzZdVgHbgKeWTXeF5ys7suVnn5C0wFXEM5_DMpsTAObQyoS5zXQ1rSxYflh3fY9HTdcaGN0ByuYPODtA0XTfDQ3I42CLVfpDtyCJmjR4Mm4B25fjrKf0eHrV4na6urX92Ol86so9zUIyE5zR7r5mPnOloSsaRKUcBzt7sira2g68AGVBGuR9G51D0xtc07Wvq-Jc6wLojFgfNOifqHhh3bxh1Cq-lIX6kVlAjRkC1kyhmfDuCVOIAvz15dzx73-r0OAldZUvbar8-bpiCNx70Owvnhq43BszJQ_bAzTz4xCLmERvoeofd9YHpmx12v5eb8jHLJ_xnHPEWR7zDEe_hiBscccQR7-OIWxxxhyNucfSEfXpzfHL0NnAFOYIC9WmDX7HGV84hBJWXokhGKlY04BcU7VxVpUpBj6WCMNeou0CKPAFdxbHMpR5XSRU_ZVv1qtbPGK9ErnSKs_2EmMYQ5yBVBKIsVBFCDuNdFvpOzAqXrZ5edZl5WuIiw37PqN-zUZRhv--y1-0lFzZVy21_TrxkMmdrWhsyQxjddtm-l2LmvvkNnh9Tms44Dvf-7a7P2b3uw9lnW836s37B7hSXzXyzfumw-B24pq2C |
| linkProvider | Elsevier |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=A+chance-constrained+two-stage+stochastic+programming+model+for+humanitarian+relief+network+design&rft.jtitle=Transportation+research.+Part+B%3A+methodological&rft.au=El%C3%A7i%2C+%C3%96zg%C3%BCn&rft.au=Noyan%2C+Nilay&rft.date=2018-02-01&rft.pub=Elsevier+Ltd&rft.issn=0191-2615&rft.eissn=1879-2367&rft.volume=108&rft.spage=55&rft.epage=83&rft_id=info:doi/10.1016%2Fj.trb.2017.12.002&rft.externalDocID=S0191261517302308 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0191-2615&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0191-2615&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0191-2615&client=summon |