A credibility-based multi-objective temporary logistics hub location-allocation model for relief supply and distribution under uncertainty
Disaster response operations revolve around uncertainties. While uncertainties arising due to randomness can be avoided for post-disaster location problem, those arising because of impreciseness may persist long after the disaster's occurrence. Despite the uncertainties and lack of sufficient i...
Gespeichert in:
| Veröffentlicht in: | Socio-economic planning sciences Jg. 70; S. 100727 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Elsevier Ltd
01.06.2020
Elsevier Science Ltd |
| Schlagworte: | |
| ISSN: | 0038-0121, 1873-6041 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Disaster response operations revolve around uncertainties. While uncertainties arising due to randomness can be avoided for post-disaster location problem, those arising because of impreciseness may persist long after the disaster's occurrence. Despite the uncertainties and lack of sufficient information about the extent of the damage, disaster response facilities must be established quickly after the occurrence of the disaster. Moreover, the decisions of whether to open, where to locate, and when to open disaster response facilities are based on the amount and quality of information available during the decision-making period. To address these issues, we develop a multi-objective location-allocation model for relief supply and distribution that accounts for the imprecise and time-varying nature of different parameters and time-varying coverage, while also accommodating the subjective attributes necessary to enable establishment and operation of the temporary logistics hubs (TLHs). A credibility-based fuzzy chance-constrained programming model is employed to account for the impreciseness inherent in predicting parameter values during disaster response. The results show where, when, and how many TLHs to open and how to allocate relief supplies. Meanwhile, the sensitivity analysis provides a broader understanding of the impact of limiting the number of TLHs as well as the confidence level and the spread of the symmetric triangular fuzzy numbers on the attainment of the model objectives.
•Disaster response operations are complicated because of uncertain and time-varying nature of parameters.•The uncertainty during disaster response is often epistemic which arises due to impreciseness.•We develop a multi-objective location model for relief supply and distribution.•Our model accounts for the epistemic uncertainty in demand, costs, and available relief.•A credibility-based fuzzy chance-constrained programming model is employed to account for epistemic uncertainty. |
|---|---|
| AbstractList | Disaster response operations revolve around uncertainties. While uncertainties arising due to randomness can be avoided for post-disaster location problem, those arising because of impreciseness may persist long after the disaster's occurrence. Despite the uncertainties and lack of sufficient information about the extent of the damage, disaster response facilities must be established quickly after the occurrence of the disaster. Moreover, the decisions of whether to open, where to locate, and when to open disaster response facilities are based on the amount and quality of information available during the decision-making period. To address these issues, we develop a multi-objective location-allocation model for relief supply and distribution that accounts for the imprecise and time-varying nature of different parameters and time-varying coverage, while also accommodating the subjective attributes necessary to enable establishment and operation of the temporary logistics hubs (TLHs). A credibility-based fuzzy chance-constrained programming model is employed to account for the impreciseness inherent in predicting parameter values during disaster response. The results show where, when, and how many TLHs to open and how to allocate relief supplies. Meanwhile, the sensitivity analysis provides a broader understanding of the impact of limiting the number of TLHs as well as the confidence level and the spread of the symmetric triangular fuzzy numbers on the attainment of the model objectives. Disaster response operations revolve around uncertainties. While uncertainties arising due to randomness can be avoided for post-disaster location problem, those arising because of impreciseness may persist long after the disaster's occurrence. Despite the uncertainties and lack of sufficient information about the extent of the damage, disaster response facilities must be established quickly after the occurrence of the disaster. Moreover, the decisions of whether to open, where to locate, and when to open disaster response facilities are based on the amount and quality of information available during the decision-making period. To address these issues, we develop a multi-objective location-allocation model for relief supply and distribution that accounts for the imprecise and time-varying nature of different parameters and time-varying coverage, while also accommodating the subjective attributes necessary to enable establishment and operation of the temporary logistics hubs (TLHs). A credibility-based fuzzy chance-constrained programming model is employed to account for the impreciseness inherent in predicting parameter values during disaster response. The results show where, when, and how many TLHs to open and how to allocate relief supplies. Meanwhile, the sensitivity analysis provides a broader understanding of the impact of limiting the number of TLHs as well as the confidence level and the spread of the symmetric triangular fuzzy numbers on the attainment of the model objectives. •Disaster response operations are complicated because of uncertain and time-varying nature of parameters.•The uncertainty during disaster response is often epistemic which arises due to impreciseness.•We develop a multi-objective location model for relief supply and distribution.•Our model accounts for the epistemic uncertainty in demand, costs, and available relief.•A credibility-based fuzzy chance-constrained programming model is employed to account for epistemic uncertainty. |
| ArticleNumber | 100727 |
| Author | Maharjan, Rajali Hanaoka, Shinya |
| Author_xml | – sequence: 1 givenname: Rajali surname: Maharjan fullname: Maharjan, Rajali email: maharjan.r.aa@m.titech.ac.jp organization: Department of Civil and Environment Engineering, Tokyo Institute of Technology, 2-12-1-M1-20, Ookayama, Meguro, Tokyo, 152-8552, Japan – sequence: 2 givenname: Shinya surname: Hanaoka fullname: Hanaoka, Shinya organization: Department of Transdisciplinary Science and Engineering, School of Environment and Society, Tokyo Institute of Technology, 2-12-1-i4-12, O-okayama, Meguro-ku, Tokyo, 152-8550, Japan |
| BookMark | eNp9kctu1DAUhi3USkxbXqArS6wTfEmcjMSmqqAgVWIDa8uXE3oiTxxsp9K8Ak-NpwMbFt34cvR_xzqfr8jFEhcg5JazljOuPsxthjW3gvF9y4aWMfmG7Pg4yEaxjl-QXa2MDeOCvyVXOc-MMdGJfkd-31GXwKPFgOXYWJPB08MWCjbRzuAKPgMtcFhjMulIQ_yJuaDL9Gmz9eZMwbg0Jvw70kP0EOgUE00QECaat3UNR2oWT31lE9rtJbgtHlJdHaRicCnHG3I5mZDh3d_9mvz4_On7_Zfm8dvD1_u7x8Z1QpWmm3o2Dk7Y0SsP_d72TAmnRukGayenmOTKKd93FnqwUqhJScWc7IZJyH5v5DV5f-67pvhrg1z0HLe01Ce16OReKcWHvqbEOeVSzDnBpNeEh-pAc6ZPzvWsT871yblmg66GKzT-BzksL15KMhheRz-eUaijPyMknR1CteMx1W_QPuJr-B-EV6Mp |
| CitedBy_id | crossref_primary_10_1016_j_seps_2022_101344 crossref_primary_10_15446_dyna_v91n232_111818 crossref_primary_10_1016_j_seps_2023_101669 crossref_primary_10_1016_j_seps_2022_101303 crossref_primary_10_1007_s00521_021_06074_8 crossref_primary_10_1007_s10668_020_01041_0 crossref_primary_10_3389_fpubh_2024_1397747 crossref_primary_10_3390_app131910670 crossref_primary_10_1007_s11356_023_30987_7 crossref_primary_10_1016_j_compchemeng_2023_108283 crossref_primary_10_1016_j_seps_2024_102093 crossref_primary_10_5194_nhess_23_1891_2023 crossref_primary_10_1177_21582440251324335 crossref_primary_10_3390_su141710594 crossref_primary_10_1007_s10479_023_05232_6 crossref_primary_10_1016_j_apm_2021_12_023 crossref_primary_10_1080_00207543_2023_2217306 crossref_primary_10_1016_j_seps_2023_101562 crossref_primary_10_3390_logistics9010042 crossref_primary_10_1007_s12063_023_00407_7 crossref_primary_10_1155_2023_3352255 crossref_primary_10_1016_j_physa_2024_129668 crossref_primary_10_1016_j_oceaneng_2023_115434 crossref_primary_10_3390_su131910976 crossref_primary_10_1016_j_ejor_2023_02_033 crossref_primary_10_1016_j_ijdrr_2022_103259 crossref_primary_10_3390_su151410916 crossref_primary_10_3934_jimo_2025004 crossref_primary_10_1007_s00500_021_06425_6 crossref_primary_10_3390_a16100468 crossref_primary_10_1016_j_cie_2020_107028 crossref_primary_10_3390_logistics7020031 crossref_primary_10_1016_j_ijdrr_2023_104209 crossref_primary_10_1007_s00291_024_00750_6 crossref_primary_10_1371_journal_pone_0297295 crossref_primary_10_1016_j_agwat_2022_107682 crossref_primary_10_1016_j_ejor_2020_12_040 crossref_primary_10_1016_j_seps_2022_101496 crossref_primary_10_1515_econ_2022_0121 crossref_primary_10_1016_j_ejor_2022_01_030 |
| Cites_doi | 10.1016/j.ijdrr.2016.08.009 10.1016/j.ejor.2015.08.059 10.1016/j.cie.2015.11.010 10.1007/s11590-011-0421-0 10.1109/TFUZZ.2007.894975 10.1108/JHLSCM-02-2018-0013 10.1016/j.tre.2015.01.008 10.1016/j.seps.2011.10.002 10.1016/j.ejor.2010.09.025 10.1108/JHLSCM-08-2017-0040 10.1016/j.apm.2016.04.005 10.1007/s00170-015-7923-3 10.1016/j.fss.2010.04.010 10.1111/poms.12427 10.1016/j.asoc.2005.11.011 10.1016/j.cie.2011.11.028 10.1016/j.cor.2014.07.015 10.1109/TFUZZ.2002.800692 10.1111/j.1937-5956.2009.01119.x 10.1080/13675560701561789 10.1016/j.ijdrr.2017.10.015 10.1016/j.seps.2011.12.003 10.1007/s12046-017-0679-8 10.1016/j.tre.2006.10.013 10.1016/j.jclepro.2017.03.102 10.1016/j.tre.2013.12.006 10.1016/j.seps.2015.09.002 10.1016/j.trb.2017.12.002 10.1016/j.seps.2012.01.001 10.1016/j.trb.2009.08.003 10.1287/mnsc.6.1.73 10.5267/j.uscm.2016.10.004 10.5267/j.uscm.2014.1.002 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Ltd Copyright Elsevier Science Ltd. Jun 2020 |
| Copyright_xml | – notice: 2019 Elsevier Ltd – notice: Copyright Elsevier Science Ltd. Jun 2020 |
| DBID | AAYXX CITATION 8BJ FQK JBE |
| DOI | 10.1016/j.seps.2019.07.003 |
| DatabaseName | CrossRef International Bibliography of the Social Sciences (IBSS) International Bibliography of the Social Sciences International Bibliography of the Social Sciences |
| DatabaseTitle | CrossRef International Bibliography of the Social Sciences (IBSS) |
| DatabaseTitleList | International Bibliography of the Social Sciences (IBSS) |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Economics Government Sociology & Social History |
| EISSN | 1873-6041 |
| ExternalDocumentID | 10_1016_j_seps_2019_07_003 S0038012118301940 |
| GroupedDBID | --K --M --Z -~X .~1 0R~ 123 13V 1B1 1OL 1RT 1~. 1~5 4.4 457 4G. 5VS 7-5 71M 8P~ 9JO 9M8 AAAKF AAAKG AACTN AAEDT AAEDW AAFFL AAIAV AAIKC AAIKJ AAKOC AALRI AAMNW AAOAW AAPFB AAQFI AAQXK AARIN AAXUO ABFRF ABJNI ABKBG ABMAC ABMVD ABPPZ ABUCO ABXDB ABYKQ ACDAQ ACGFO ACGFS ACHRH ACNCT ACNTT ACRLP ACROA ADBBV ADEZE ADFHU ADMUD AEBSH AEFWE AEKER AETEA AEYQN AFFNX AFKWA AFODL AFTJW AGHFR AGJBL AGTHC AGUBO AGUMN AGYEJ AHHHB AIEXJ AIIAU AIKHN AITUG AJBFU AJOXV AJWLA ALEQD ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ APLSM ASPBG AVWKF AXJTR AXLSJ AZFZN BEHZQ BEZPJ BGSCR BKOJK BLXMC BNSAS BNTGB BPUDD BULVW BZJEE CS3 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FEDTE FGOYB FIRID FNPLU FYGXN G-2 G-Q GBLVA HAMUX HMB HVGLF HZ~ IHE IXIXF J1W KOM LPU LY1 LY5 M41 MO0 MS~ MVM N9A O-L O9- OAUVE OHT OZT P-8 P-9 P2P PC. Q38 R2- RIG ROL RPZ RXW SDF SDG SDS SEE SES SEW SPCBC SSB SSD SSF SSL SSZ T5K TAE TN5 UHS UNMZH WUQ YK3 YNT ~G- 9DU AATTM AAXKI AAYWO AAYXX ABUFD ABWVN ACLOT ACRPL ACVFH ADCNI ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP CITATION EFKBS ~HD 8BJ FQK JBE |
| ID | FETCH-LOGICAL-c426t-4f5087c2b8d6de59b5062c683c7bbfc60316c6d54be5eb326f6360c347f2359a3 |
| ISICitedReferencesCount | 47 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000532581400005&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0038-0121 |
| IngestDate | Sat Nov 08 21:16:17 EST 2025 Sat Nov 29 07:26:20 EST 2025 Tue Nov 18 21:53:58 EST 2025 Fri Feb 23 02:48:16 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Temporary logistics hub Fuzzy chance-constrained programming Epistemic uncertainty Multi-objective optimization Humanitarian supply chain Facility location-allocation problem |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c426t-4f5087c2b8d6de59b5062c683c7bbfc60316c6d54be5eb326f6360c347f2359a3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| PQID | 2439666175 |
| PQPubID | 2039295 |
| ParticipantIDs | proquest_journals_2439666175 crossref_primary_10_1016_j_seps_2019_07_003 crossref_citationtrail_10_1016_j_seps_2019_07_003 elsevier_sciencedirect_doi_10_1016_j_seps_2019_07_003 |
| PublicationCentury | 2000 |
| PublicationDate | 2020-06-01 |
| PublicationDateYYYYMMDD | 2020-06-01 |
| PublicationDate_xml | – month: 06 year: 2020 text: 2020-06-01 day: 01 |
| PublicationDecade | 2020 |
| PublicationPlace | Oxford |
| PublicationPlace_xml | – name: Oxford |
| PublicationTitle | Socio-economic planning sciences |
| PublicationYear | 2020 |
| Publisher | Elsevier Ltd Elsevier Science Ltd |
| Publisher_xml | – name: Elsevier Ltd – name: Elsevier Science Ltd |
| References | Yahyaei, Bozorgi-Amiri (bib25) 2018 Thomas, Kopczak (bib5) 2005 Rawls, Turnquist (bib8) 2010; 44 Li, Liu (bib41) 2008; 16 Maharjan, Hanaoka (bib32) 2019; 9 Liu, Liu (bib37) 2002; 10 Ehrgott (bib33) 2005 Liu (bib38) 2009 Maharjan, Hanaoka (bib31) 2018; 8 Döyen, Aras, Barbarosoğlu (bib10) 2012; 6 Pradhananga (bib17) 2016; 91 Rawls, Turnquist (bib11) 2012; 46 Liu (bib39) 2008; 2 Bozorgi-Amiri, Khorsi (bib19) 2016; 85 Chang, Tseng, Chen (bib6) 2007; 43 Ahmadi, Seifi, Tootooni (bib15) 2015; 75 Elçi, Noyan (bib24) 2018; 108 Rennemo, Rø, Hvattum, Tirado (bib13) 2014; 62 Stauffer, Pedraza-Martinez, Van Wassenhove (bib30) 2016; 25 Tofighi, Torabi, Mansouri (bib3) 2016; 250 Cavdur, Kose-Kucuk, Sebatli (bib20) 2016; 19 Khayal, Pradhananga, Pokharel, Mutlu (bib28) 2015; 52 Pishvaee, Torabi, Razmi (bib2) 2012; 62 Zokaee, Bozorgi-Amiri, Sadjadi (bib18) 2016; 40 Rezaei-Malek, Tavakkoli-Moghaddam (bib14) 2014; 2 Balcik, Beamon (bib7) 2008; 11 Bozorgi-Amiri, Jabalameli, Mirzapour Al-e-Hashem (bib12) 2013; 35 Babaei, Shahanaghi (bib23) 2017; 5 Charnes, Cooper (bib36) 1959 Mavrotas (bib34) 2009; 213 Salman, Yücel (bib16) 2015; 62 Jha, Acharya, Tiwari (bib22) 2017; 42 Lin (bib29) 2012; 46 Pishvaee, Torabi (bib1) 2010; 161 Salmerón, Apte (bib9) 2010; 19 Vahdani, Veysmoradi, Noori, Mansour (bib26) 2018; 27 Kabak, Ulengin (bib4) 2011; 209 Zhu, Zhang (bib42) 2009 Huang (bib40) 2006; 177 Haghi, Taghi, Ghomi, Jolai (bib21) 2017; 154 Afshar, Haghani (bib27) 2012; 46 Yang, Liu (bib35) 2007; 7 Li (10.1016/j.seps.2019.07.003_bib41) 2008; 16 Lin (10.1016/j.seps.2019.07.003_bib29) 2012; 46 Yahyaei (10.1016/j.seps.2019.07.003_bib25) 2018 Maharjan (10.1016/j.seps.2019.07.003_bib32) 2019; 9 Tofighi (10.1016/j.seps.2019.07.003_bib3) 2016; 250 Bozorgi-Amiri (10.1016/j.seps.2019.07.003_bib19) 2016; 85 Charnes (10.1016/j.seps.2019.07.003_bib36) 1959 Pishvaee (10.1016/j.seps.2019.07.003_bib2) 2012; 62 Cavdur (10.1016/j.seps.2019.07.003_bib20) 2016; 19 Pradhananga (10.1016/j.seps.2019.07.003_bib17) 2016; 91 Stauffer (10.1016/j.seps.2019.07.003_bib30) 2016; 25 Zhu (10.1016/j.seps.2019.07.003_bib42) 2009 Rennemo (10.1016/j.seps.2019.07.003_bib13) 2014; 62 Salmerón (10.1016/j.seps.2019.07.003_bib9) 2010; 19 Elçi (10.1016/j.seps.2019.07.003_bib24) 2018; 108 Khayal (10.1016/j.seps.2019.07.003_bib28) 2015; 52 Liu (10.1016/j.seps.2019.07.003_bib37) 2002; 10 Bozorgi-Amiri (10.1016/j.seps.2019.07.003_bib12) 2013; 35 Salman (10.1016/j.seps.2019.07.003_bib16) 2015; 62 Babaei (10.1016/j.seps.2019.07.003_bib23) 2017; 5 Vahdani (10.1016/j.seps.2019.07.003_bib26) 2018; 27 Mavrotas (10.1016/j.seps.2019.07.003_bib34) 2009; 213 Liu (10.1016/j.seps.2019.07.003_bib38) 2009 Yang (10.1016/j.seps.2019.07.003_bib35) 2007; 7 Rawls (10.1016/j.seps.2019.07.003_bib11) 2012; 46 Chang (10.1016/j.seps.2019.07.003_bib6) 2007; 43 Jha (10.1016/j.seps.2019.07.003_bib22) 2017; 42 Huang (10.1016/j.seps.2019.07.003_bib40) 2006; 177 Haghi (10.1016/j.seps.2019.07.003_bib21) 2017; 154 Rawls (10.1016/j.seps.2019.07.003_bib8) 2010; 44 Döyen (10.1016/j.seps.2019.07.003_bib10) 2012; 6 Thomas (10.1016/j.seps.2019.07.003_bib5) 2005 Liu (10.1016/j.seps.2019.07.003_bib39) 2008; 2 Pishvaee (10.1016/j.seps.2019.07.003_bib1) 2010; 161 Afshar (10.1016/j.seps.2019.07.003_bib27) 2012; 46 Maharjan (10.1016/j.seps.2019.07.003_bib31) 2018; 8 Rezaei-Malek (10.1016/j.seps.2019.07.003_bib14) 2014; 2 Ehrgott (10.1016/j.seps.2019.07.003_bib33) 2005 Kabak (10.1016/j.seps.2019.07.003_bib4) 2011; 209 Ahmadi (10.1016/j.seps.2019.07.003_bib15) 2015; 75 Balcik (10.1016/j.seps.2019.07.003_bib7) 2008; 11 Zokaee (10.1016/j.seps.2019.07.003_bib18) 2016; 40 |
| References_xml | – volume: 250 start-page: 239 year: 2016 end-page: 250 ident: bib3 article-title: Humanitarian logistics network design under mixed uncertainty publication-title: Eur J Oper Res – volume: 10 start-page: 445 year: 2002 end-page: 450 ident: bib37 article-title: Expected value of fuzzy variable and fuzzy expected value models publication-title: IEEE Trans Fuzzy Syst – volume: 2 start-page: 3 year: 2008 end-page: 16 ident: bib39 article-title: Fuzzy process, hybrid process and uncertain process publication-title: J Uncertain Syst – year: 2005 ident: bib5 article-title: From logistics to supply chain management: The path forward in the humanitarian sector, s.l – volume: 35 start-page: 905 year: 2013 end-page: 933 ident: bib12 article-title: A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty publication-title: Spectrum – volume: 27 start-page: 290 year: 2018 end-page: 306 ident: bib26 article-title: Two-stage multi-objective location-routing-inventory model for humanitarian logistics network design under uncertainty publication-title: Int J Disaster Risk Reduct – volume: 213 start-page: 455 year: 2009 end-page: 465 ident: bib34 article-title: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems publication-title: Appl Math Comput – volume: 52 start-page: 22 year: 2015 end-page: 30 ident: bib28 article-title: A model for planning locations of temporary distribution facilities for emergency response publication-title: Soc Econ Plan Sci – start-page: 73 year: 1959 end-page: 79 ident: bib36 article-title: Chance-constrained programming publication-title: Manag Sci – volume: 161 start-page: 2668 year: 2010 end-page: 2683 ident: bib1 article-title: A possibilistic programming approach for closed loop supply chain network design under uncertainty publication-title: Fuzzy Sets Syst – volume: 42 start-page: 1167 year: 2017 end-page: 1174 ident: bib22 article-title: Humanitarian relief supply chain: a multi-objective model and solution publication-title: Sādhanā – volume: 177 start-page: 500 year: 2006 end-page: 507 ident: bib40 article-title: Fuzzy chance-constrained portfolio selection publication-title: Appl Math Comput – volume: 62 year: 2012 ident: bib2 article-title: Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty publication-title: Comput Ind Eng – volume: 19 start-page: 561 year: 2010 end-page: 574 ident: bib9 article-title: Stochastic optimization for natural diaster asset prepositioning publication-title: Prod Oper Manag – volume: 108 start-page: 55 year: 2018 end-page: 83 ident: bib24 article-title: A chance-constrained two-stage stochastic programming model for humanitarian relief network design publication-title: Transp Res Part B Methodol – volume: 62 start-page: 266 year: 2015 end-page: 281 ident: bib16 article-title: Emergency facility location under random network damage: insights from the Istanbul case publication-title: Comput Oper Res – volume: 40 start-page: 7996 year: 2016 end-page: 8016 ident: bib18 article-title: A robust optimization model for humanitarian relief chain design under uncertainty publication-title: Appl Math Model – volume: 44 start-page: 521 year: 2010 end-page: 534 ident: bib8 article-title: Pre-positioning of emergency supplies for disaster response publication-title: Transp Res Part B Methodol – volume: 46 start-page: 327 year: 2012 end-page: 338 ident: bib27 article-title: Modeling integrated supply chain logistics in real-time large-scale disaster relief operations publication-title: Soc Econ Plan Sci – volume: 8 start-page: 2 year: 2018 end-page: 21 ident: bib31 article-title: A multi-actor multi-objective optimization approach for locating temporary logistics hubs during disaster response publication-title: J Humanit Logist Supply Chain Manag – volume: 6 start-page: 1123 year: 2012 ident: bib10 article-title: A two-echelon stochastic facility location model for humanitarian relief logistics model for humanitarian relief logistics publication-title: Optim. Lett. – volume: 209 start-page: 253 year: 2011 end-page: 264 ident: bib4 article-title: Possibilistic linear-programming approach for supply chain networking decision publication-title: Eur J Oper Res – volume: 16 start-page: 123 year: 2008 end-page: 129 ident: bib41 article-title: Entropy of credibility distributions for fuzzy variables publication-title: IEEE Trans Fuzzy Syst – volume: 19 start-page: 159 year: 2016 end-page: 166 ident: bib20 article-title: Allocation of temporary disaster response facilities under demand uncertainty: an earthquake case study publication-title: Int J Disaster Risk Reduct – volume: 7 start-page: 879 year: 2007 end-page: 889 ident: bib35 article-title: Fuzzy fixed charge solid transportation problem and algorithm publication-title: Appl Soft Comput – volume: 5 start-page: 105 year: 2017 end-page: 125 ident: bib23 article-title: A new model for planning the distributed facilities locations under emergency conditions and uncertainty space in relief logistics publication-title: Uncertain Supply Chain Manag – volume: 154 start-page: 188 year: 2017 end-page: 202 ident: bib21 article-title: Developing a robust multi-objective model for pre/post disaster times under uncertainty in demand and resource publication-title: J Clean Prod – volume: 75 start-page: 145 year: 2015 end-page: 163 ident: bib15 article-title: Humanitarian logistics model for disaster relief operation considering network failure and standard relief time: a case study on San Francisco district publication-title: Transp Res E Logist Transp Rev – start-page: 1 year: 2018 end-page: 20 ident: bib25 article-title: Robust reliable humanitarian relief network design: an integration of shelter and supply facility location publication-title: Ann Oper Res – volume: 46 start-page: 46 year: 2012 end-page: 54 ident: bib11 article-title: Pre-positioning and dynamic delivery planning for short-term response following a natural disaster publication-title: Soc Econ Plan Sci – volume: 62 start-page: 116 year: 2014 end-page: 135 ident: bib13 article-title: A three-stage stochastic facility routing model for disaster response planning publication-title: Transp Res E Logist Transp Rev – year: 2009 ident: bib38 article-title: Theory and practice of uncertain programming – volume: 43 start-page: 737 year: 2007 end-page: 754 ident: bib6 article-title: A scenario planning approach for the flood emergency logistics preparation problem under uncertainty publication-title: Transp Res E Logist Transp Rev – volume: 11 start-page: 101 year: 2008 end-page: 121 ident: bib7 article-title: Facility location in humanitarian relief publication-title: Int J Logist Res Appl – volume: 85 start-page: 1633 year: 2016 end-page: 1648 ident: bib19 article-title: A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters publication-title: Int J Adv Manuf Technol – volume: 25 start-page: 192 year: 2016 end-page: 209 ident: bib30 article-title: Temporary hubs for the global vehicle supply chain in humanitarian operations publication-title: Prod Oper Manag – volume: 9 start-page: 2 year: 2019 end-page: 21 ident: bib32 article-title: Fuzzy multi-attribute group decision-making to identify the order of establishing temporary logistics hubs during disaster response publication-title: J Humanit Logist Supply Chain Manag – volume: 46 start-page: 112 year: 2012 end-page: 123 ident: bib29 article-title: Location of temporary depots to facilitate relief operations after an earthquake publication-title: Soc Econ Plan Sci – volume: 2 start-page: 73 year: 2014 end-page: 96 ident: bib14 article-title: Robust humanitarian relief logistics network planning publication-title: Uncertain Supply Chain Manag – year: 2005 ident: bib33 article-title: Multicriteria optimization – volume: 91 start-page: 229 year: 2016 end-page: 238 ident: bib17 article-title: An integrated resource allocation and distribution model for pre-disaster planning publication-title: Comput Ind Eng – year: 2009 ident: bib42 article-title: A credibility-based fuzzy programming model for APP problem. Shanghai, s.n – volume: 19 start-page: 159 year: 2016 ident: 10.1016/j.seps.2019.07.003_bib20 article-title: Allocation of temporary disaster response facilities under demand uncertainty: an earthquake case study publication-title: Int J Disaster Risk Reduct doi: 10.1016/j.ijdrr.2016.08.009 – volume: 250 start-page: 239 year: 2016 ident: 10.1016/j.seps.2019.07.003_bib3 article-title: Humanitarian logistics network design under mixed uncertainty publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2015.08.059 – volume: 91 start-page: 229 year: 2016 ident: 10.1016/j.seps.2019.07.003_bib17 article-title: An integrated resource allocation and distribution model for pre-disaster planning publication-title: Comput Ind Eng doi: 10.1016/j.cie.2015.11.010 – volume: 6 start-page: 1123 issue: 6 year: 2012 ident: 10.1016/j.seps.2019.07.003_bib10 article-title: A two-echelon stochastic facility location model for humanitarian relief logistics model for humanitarian relief logistics publication-title: Optim. Lett. doi: 10.1007/s11590-011-0421-0 – volume: 16 start-page: 123 issue: 1 year: 2008 ident: 10.1016/j.seps.2019.07.003_bib41 article-title: Entropy of credibility distributions for fuzzy variables publication-title: IEEE Trans Fuzzy Syst doi: 10.1109/TFUZZ.2007.894975 – volume: 9 start-page: 2 issue: 1 year: 2019 ident: 10.1016/j.seps.2019.07.003_bib32 article-title: Fuzzy multi-attribute group decision-making to identify the order of establishing temporary logistics hubs during disaster response publication-title: J Humanit Logist Supply Chain Manag doi: 10.1108/JHLSCM-02-2018-0013 – volume: 75 start-page: 145 year: 2015 ident: 10.1016/j.seps.2019.07.003_bib15 article-title: Humanitarian logistics model for disaster relief operation considering network failure and standard relief time: a case study on San Francisco district publication-title: Transp Res E Logist Transp Rev doi: 10.1016/j.tre.2015.01.008 – volume: 46 start-page: 46 issue: 1 year: 2012 ident: 10.1016/j.seps.2019.07.003_bib11 article-title: Pre-positioning and dynamic delivery planning for short-term response following a natural disaster publication-title: Soc Econ Plan Sci doi: 10.1016/j.seps.2011.10.002 – volume: 209 start-page: 253 issue: 3 year: 2011 ident: 10.1016/j.seps.2019.07.003_bib4 article-title: Possibilistic linear-programming approach for supply chain networking decision publication-title: Eur J Oper Res doi: 10.1016/j.ejor.2010.09.025 – volume: 8 start-page: 2 issue: 1 year: 2018 ident: 10.1016/j.seps.2019.07.003_bib31 article-title: A multi-actor multi-objective optimization approach for locating temporary logistics hubs during disaster response publication-title: J Humanit Logist Supply Chain Manag doi: 10.1108/JHLSCM-08-2017-0040 – volume: 40 start-page: 7996 issue: 17–18 year: 2016 ident: 10.1016/j.seps.2019.07.003_bib18 article-title: A robust optimization model for humanitarian relief chain design under uncertainty publication-title: Appl Math Model doi: 10.1016/j.apm.2016.04.005 – volume: 2 start-page: 3 issue: 1 year: 2008 ident: 10.1016/j.seps.2019.07.003_bib39 article-title: Fuzzy process, hybrid process and uncertain process publication-title: J Uncertain Syst – volume: 85 start-page: 1633 issue: 5–8 year: 2016 ident: 10.1016/j.seps.2019.07.003_bib19 article-title: A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters publication-title: Int J Adv Manuf Technol doi: 10.1007/s00170-015-7923-3 – volume: 161 start-page: 2668 issue: 20 year: 2010 ident: 10.1016/j.seps.2019.07.003_bib1 article-title: A possibilistic programming approach for closed loop supply chain network design under uncertainty publication-title: Fuzzy Sets Syst doi: 10.1016/j.fss.2010.04.010 – volume: 25 start-page: 192 issue: 2 year: 2016 ident: 10.1016/j.seps.2019.07.003_bib30 article-title: Temporary hubs for the global vehicle supply chain in humanitarian operations publication-title: Prod Oper Manag doi: 10.1111/poms.12427 – volume: 7 start-page: 879 year: 2007 ident: 10.1016/j.seps.2019.07.003_bib35 article-title: Fuzzy fixed charge solid transportation problem and algorithm publication-title: Appl Soft Comput doi: 10.1016/j.asoc.2005.11.011 – volume: 62 year: 2012 ident: 10.1016/j.seps.2019.07.003_bib2 article-title: Credibility-based fuzzy mathematical programming model for green logistics design under uncertainty publication-title: Comput Ind Eng doi: 10.1016/j.cie.2011.11.028 – year: 2005 ident: 10.1016/j.seps.2019.07.003_bib5 – volume: 62 start-page: 266 year: 2015 ident: 10.1016/j.seps.2019.07.003_bib16 article-title: Emergency facility location under random network damage: insights from the Istanbul case publication-title: Comput Oper Res doi: 10.1016/j.cor.2014.07.015 – volume: 10 start-page: 445 issue: 4 year: 2002 ident: 10.1016/j.seps.2019.07.003_bib37 article-title: Expected value of fuzzy variable and fuzzy expected value models publication-title: IEEE Trans Fuzzy Syst doi: 10.1109/TFUZZ.2002.800692 – year: 2009 ident: 10.1016/j.seps.2019.07.003_bib42 – volume: 19 start-page: 561 issue: 5 year: 2010 ident: 10.1016/j.seps.2019.07.003_bib9 article-title: Stochastic optimization for natural diaster asset prepositioning publication-title: Prod Oper Manag doi: 10.1111/j.1937-5956.2009.01119.x – volume: 11 start-page: 101 issue: 2 year: 2008 ident: 10.1016/j.seps.2019.07.003_bib7 article-title: Facility location in humanitarian relief publication-title: Int J Logist Res Appl doi: 10.1080/13675560701561789 – volume: 177 start-page: 500 year: 2006 ident: 10.1016/j.seps.2019.07.003_bib40 article-title: Fuzzy chance-constrained portfolio selection publication-title: Appl Math Comput – volume: 27 start-page: 290 year: 2018 ident: 10.1016/j.seps.2019.07.003_bib26 article-title: Two-stage multi-objective location-routing-inventory model for humanitarian logistics network design under uncertainty publication-title: Int J Disaster Risk Reduct doi: 10.1016/j.ijdrr.2017.10.015 – volume: 46 start-page: 327 issue: 4 year: 2012 ident: 10.1016/j.seps.2019.07.003_bib27 article-title: Modeling integrated supply chain logistics in real-time large-scale disaster relief operations publication-title: Soc Econ Plan Sci doi: 10.1016/j.seps.2011.12.003 – volume: 42 start-page: 1167 issue: 7 year: 2017 ident: 10.1016/j.seps.2019.07.003_bib22 article-title: Humanitarian relief supply chain: a multi-objective model and solution publication-title: Sādhanā doi: 10.1007/s12046-017-0679-8 – volume: 43 start-page: 737 issue: 6 year: 2007 ident: 10.1016/j.seps.2019.07.003_bib6 article-title: A scenario planning approach for the flood emergency logistics preparation problem under uncertainty publication-title: Transp Res E Logist Transp Rev doi: 10.1016/j.tre.2006.10.013 – volume: 213 start-page: 455 issue: 2 year: 2009 ident: 10.1016/j.seps.2019.07.003_bib34 article-title: Effective implementation of the ε-constraint method in multi-objective mathematical programming problems publication-title: Appl Math Comput – year: 2009 ident: 10.1016/j.seps.2019.07.003_bib38 – volume: 154 start-page: 188 year: 2017 ident: 10.1016/j.seps.2019.07.003_bib21 article-title: Developing a robust multi-objective model for pre/post disaster times under uncertainty in demand and resource publication-title: J Clean Prod doi: 10.1016/j.jclepro.2017.03.102 – volume: 62 start-page: 116 year: 2014 ident: 10.1016/j.seps.2019.07.003_bib13 article-title: A three-stage stochastic facility routing model for disaster response planning publication-title: Transp Res E Logist Transp Rev doi: 10.1016/j.tre.2013.12.006 – volume: 52 start-page: 22 year: 2015 ident: 10.1016/j.seps.2019.07.003_bib28 article-title: A model for planning locations of temporary distribution facilities for emergency response publication-title: Soc Econ Plan Sci doi: 10.1016/j.seps.2015.09.002 – volume: 35 start-page: 905 issue: 4 year: 2013 ident: 10.1016/j.seps.2019.07.003_bib12 article-title: A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty publication-title: Spectrum – volume: 108 start-page: 55 year: 2018 ident: 10.1016/j.seps.2019.07.003_bib24 article-title: A chance-constrained two-stage stochastic programming model for humanitarian relief network design publication-title: Transp Res Part B Methodol doi: 10.1016/j.trb.2017.12.002 – volume: 46 start-page: 112 issue: 2 year: 2012 ident: 10.1016/j.seps.2019.07.003_bib29 article-title: Location of temporary depots to facilitate relief operations after an earthquake publication-title: Soc Econ Plan Sci doi: 10.1016/j.seps.2012.01.001 – volume: 44 start-page: 521 issue: 4 year: 2010 ident: 10.1016/j.seps.2019.07.003_bib8 article-title: Pre-positioning of emergency supplies for disaster response publication-title: Transp Res Part B Methodol doi: 10.1016/j.trb.2009.08.003 – start-page: 73 year: 1959 ident: 10.1016/j.seps.2019.07.003_bib36 article-title: Chance-constrained programming publication-title: Manag Sci doi: 10.1287/mnsc.6.1.73 – year: 2005 ident: 10.1016/j.seps.2019.07.003_bib33 – volume: 5 start-page: 105 year: 2017 ident: 10.1016/j.seps.2019.07.003_bib23 article-title: A new model for planning the distributed facilities locations under emergency conditions and uncertainty space in relief logistics publication-title: Uncertain Supply Chain Manag doi: 10.5267/j.uscm.2016.10.004 – volume: 2 start-page: 73 year: 2014 ident: 10.1016/j.seps.2019.07.003_bib14 article-title: Robust humanitarian relief logistics network planning publication-title: Uncertain Supply Chain Manag doi: 10.5267/j.uscm.2014.1.002 – start-page: 1 year: 2018 ident: 10.1016/j.seps.2019.07.003_bib25 article-title: Robust reliable humanitarian relief network design: an integration of shelter and supply facility location publication-title: Ann Oper Res |
| SSID | ssj0002425 |
| Score | 2.4156501 |
| Snippet | Disaster response operations revolve around uncertainties. While uncertainties arising due to randomness can be avoided for post-disaster location problem,... |
| SourceID | proquest crossref elsevier |
| SourceType | Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 100727 |
| SubjectTerms | Allocation Attainment Credibility Decision making Disaster relief Disasters Emergency preparedness Epistemic uncertainty Facility location-allocation problem Fuzzy chance-constrained programming Fuzzy logic Humanitarian supply chain Logistics Multi-objective optimization Objectives Randomness Sensitivity analysis Subjectivity Temporary logistics hub Uncertainty |
| Title | A credibility-based multi-objective temporary logistics hub location-allocation model for relief supply and distribution under uncertainty |
| URI | https://dx.doi.org/10.1016/j.seps.2019.07.003 https://www.proquest.com/docview/2439666175 |
| Volume | 70 |
| WOSCitedRecordID | wos000532581400005&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: 1873-6041 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0002425 issn: 0038-0121 databaseCode: AIEXJ dateStart: 19950301 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Nb9NAEF2FFIleEAQQLQXtAfViLUrij909RigVoBKQSKXcLO_aVhoqJyRp1fwF_gP_lRnP2g6hRHDgsrLsOLY0z7MzuzPvMfba5LnKlcRF9zwSgcp6wsiuEhDJhiqzgdWmVC05l6ORmkz051brR9ULc3Mli0Ld3urFfzU1nANjY-vsP5i7_lM4AcdgdBjB7DD-leEHHpKAUtHrRuAslVLZoJibGbk3ryGkog4gpGqeXhsPZzZ8M4Hb8XRIWjllNeIyg4A191YoBEq0TSnS7jrFrFJRdwmjpSqD9S8bxmVjjMhcGzSKV5daSZ6bgevI_mMyTZYztzmVzCBLaHxkkcy_lrHul-llsUm2Fyz63aawilbRqk6aynk15Uulh_axuI66pt9k5JSV9EXUJYKsymuT3Ihzu707JwNal8De_QUSs_d0SdPa9Zupr9ruH32Kzy7Oz-PxcDI-XXwTKEqGm_dOoeUeO-jLUKs2Oxi8H04-1FM95mvE-0kv7bqyqIBw97F_inx2YoAysBk_Yg9dRsIHhKTHrJUVHfagalhfddhho8fcYcd1hxM_5dTbzYlqZvOEfR_w37DHd7DHa-zxGnscsMfvwB4vsccBe5ywxwl7HLDHt7HHS-zxLew9ZRdnw_Hbd8KJfQgLQeJaBDmkCtL2jUqjNAvBRXSjvo2Ub6UxuUUx9MhGaRiYLMwMJB05Mt1ZP5B53w914j9j7WJeZM8Zj1Lto59JZKQDqXtGaR3aDGLfNEq0sUesVxkito4JHwVZruKq5HEWo_FiNF7cxQIN_4h59T0L4oHZ--uwsm_sviOKUGPA5t77TiowxM6lwHXIGSIIo2V4vP_yC3bYfG8nrL1eXmcv2X17s75cLV857P4E89bQjA |
| 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+credibility-based+multi-objective+temporary+logistics+hub+location-allocation+model+for+relief+supply+and+distribution+under+uncertainty&rft.jtitle=Socio-economic+planning+sciences&rft.au=Maharjan%2C+Rajali&rft.au=Hanaoka%2C+Shinya&rft.date=2020-06-01&rft.pub=Elsevier+Science+Ltd&rft.issn=0038-0121&rft.eissn=1873-6041&rft.volume=70&rft.spage=1&rft_id=info:doi/10.1016%2Fj.seps.2019.07.003&rft.externalDBID=NO_FULL_TEXT |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0038-0121&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0038-0121&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0038-0121&client=summon |