Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty
We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier) prior to the selling season and then sells to the market. We examine how a manufacturer can structure a weather-linked rebate to improve his...
Saved in:
Published in | Management science Vol. 56; no. 8; pp. 1380 - 1397 |
---|---|
Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Hanover, MD
INFORMS
01.08.2010
Institute for Operations Research and the Management Sciences |
Series | Management Science |
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier) prior to the selling season and then sells to the market. We examine how a manufacturer can structure a weather-linked rebate to improve his expected profit. The proposed class of rebate contracts offers several advantages over many other contract structures, including no required verification of leftover inventory and/or markdown amounts, and no adverse effect on sales effort by the retailer. We provide a thorough analysis of the manufacturer's and retailer's decisions in this context. We show that the weather-linked rebate can take many different forms, and this flexibility allows the supplier to design contracts that are Pareto improving and/or limit his risk in offering the contract and the retailer's risk in accepting it. For weather rebates with certain characteristics, the manufacturer can fully hedge his risks of offering a weather rebate by paying a risk premium; we show how this can be accomplished. We also show that the basic structural results extend to settings in which the two parties would like to limit their risk. |
---|---|
AbstractList | We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier) prior to the selling season and then sells to the market. We examine how a manufacturer can structure a weather-linked rebate to improve his expected profit. The proposed class of rebate contracts offers several advantages over many other contract structures, including no required verification of leftover inventory and/or markdown amounts, and no adverse effect on sales effort by the retailer. We provide a thorough analysis of the manufacturer's and retailer's decisions in this context. We show that the weather-linked rebate can take many different forms, and this flexibility allows the supplier to design contracts that are Pareto improving and/or limit his risk in offering the contract and the retailer's risk in accepting it. For weather rebates with certain characteristics, the manufacturer can fully hedge his risks of offering a weather rebate by paying a risk premium; we show how this can be accomplished. We also show that the basic structural results extend to settings in which the two parties would like to limit their risk. We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier) prior to the selling season and then sells to the market. We examine how a manufacturer can structure a weather-linked rebate to improve his expected profit. The proposed class of rebate contracts offers several advantages over many other contract structures, including no required verification of leftover inventory and/or markdown amounts, and no adverse effect on sales effort by the retailer. We provide a thorough analysis of the manufacturer's and retailer's decisions in this context. We show that the weather-linked rebate can take many different forms, and this flexibility allows the supplier to design contracts that are Pareto improving and/or limit his risk in offering the contract and the retailer's risk in accepting it. For weather rebates with certain characteristics, the manufacturer can fully hedge his risks of offering a weather rebate by paying a risk premium; we show how this can be accomplished. We also show that the basic structural results extend to settings in which the two parties would like to limit their risk. [PUBLICATION ABSTRACT] Reprinted by permission of the Institute for Operations Research and Management Science (INFORMS) We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier) prior to the selling season and then sells to the market. We examine how a manufacturer can structure a weather-linked rebate to improve his expected profit. The proposed class of rebate contracts offers several advantages over many other contract structures, including no required verification of leftover inventory and/or markdown amounts, and no adverse effect on sales effort by the retailer. We provide a thorough analysis of the manufacturer's and retailer's decisions in this context. We show that the weather-linked rebate can take many different forms, and this flexibility allows the supplier to design contracts that are Pareto improving and/or limit his risk in offering the contract and the retailer's risk in accepting it. For weather rebates with certain characteristics, the manufacturer can fully hedge his risks of offering a weather rebate by paying a risk premium; we show how this can be accomplished. We also show that the basic structural results extend to settings in which the two parties would like to limit their risk. [PUBLICATION ABSTRACT] We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier) prior to the selling season and then sells to the market. We examine how a manufacturer can structure a weather-linked rebate to improve his expected profit. The proposed class of rebate contracts offers several advantages over many other contract structures, including no required verification of leftover inventory and/or markdown amounts, and no adverse effect on sales effort by the retailer. We provide a thorough analysis of the manufacturer's and retailer's decisions in this context. We show that the weather-linked rebate can take many different forms, and this flexibility allows the supplier to design contracts that are Pareto improving and/or limit his risk in offering the contract and the retailer's risk in accepting it. For weather rebates with certain characteristics, the manufacturer can fully hedge his risks of offering a weather rebate by paying a risk premium; we show how this can be accomplished. We also show that the basic structural results extend to settings in which the two parties would like to limit their risk. Key words: weather-linked rebate; weather risk; weather derivatives; supply chain coordination History: Received July 2, 2007; accepted March 16, 2010, by Paul H. Zipkin, operations and supply chain management. Published online in Articles in Advance June 9, 2010. |
Audience | Trade Academic |
Author | Chen, Frank Youhua Yano, Candace Arai |
Author_xml | – sequence: 1 givenname: Frank Youhua surname: Chen fullname: Chen, Frank Youhua – sequence: 2 givenname: Candace Arai surname: Yano fullname: Yano, Candace Arai |
BackLink | http://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=23112009$$DView record in Pascal Francis http://econpapers.repec.org/article/inmormnsc/v_3a56_3ay_3a2010_3ai_3a8_3ap_3a1380-1397.htm$$DView record in RePEc |
BookMark | eNqFkt2L1DAUxYus4Ozqq29CUcQXOyZp0zSPy_i1MKKsDj5JyKS3naxt2k3ahfnvvWGW8YMBKTeh7e8cknvPeXLmBgdJ8pSSJWWVeNO7YJaUEnylsniQLChnZcY5oWfJghDGMyqJfJSch3BDCBGVKBfJj6t-9MOddW36dR7Hbp-udtq69Av4ZvC9dgZS7er0k3a6jdS1DT_TjavBp99BTzvw2TV0eoI6fQt9RDeo8ROaTPvHycNGdwGe3O8Xyeb9u2-rj9n684er1eU6M6Usp6wRNTW1lDkpalISBlupC7rVFCgUVSMqDltmhK5ZCdKUeVWTpmCSV6IWBWcyv0heHXzxLrczhEn1NhjoOu1gmIOqaJmLUvJIPv-HvBlm7_BwShSC0pJxjtCLA9TqDpR1zTB5baKlumQ5HlBga5HKTlAtOPC6w9E0Fj__xS9P8PjU0FtzUvD6D8F2DtZBwCXYdjeFVs8hnPQ3fgjBQ6NGb3vt94oSFROiYkJUTIiKCUHB-iDwMII50tb1OPmI3qlc8xKXPRYjaJNri1VhjVg0r9Aql0Ltph7tXt63Vgeju8ZjeGw42rKcUkZIHMGzA3cTpsEf_xeYSM4o-d3X2CLfh_9d4xdlZeyH |
CODEN | MSCIAM |
CitedBy_id | crossref_primary_10_1155_2020_8858812 crossref_primary_10_1016_j_cie_2018_10_026 crossref_primary_10_1016_j_jretconser_2023_103699 crossref_primary_10_1016_j_cie_2024_110157 crossref_primary_10_1016_j_ijpe_2017_08_002 crossref_primary_10_1080_00207543_2017_1374577 crossref_primary_10_1007_s10479_013_1453_x crossref_primary_10_1080_1540496X_2019_1675631 crossref_primary_10_1111_j_1937_5956_2011_01298_x crossref_primary_10_1016_j_jclepro_2021_127587 crossref_primary_10_1108_IJRDM_08_2015_0113 crossref_primary_10_3390_su15043314 crossref_primary_10_1016_j_eap_2023_06_040 crossref_primary_10_2139_ssrn_3636579 crossref_primary_10_1016_j_omega_2024_103108 crossref_primary_10_1111_j_1540_5915_2012_00363_x crossref_primary_10_1109_TFUZZ_2018_2851508 crossref_primary_10_3390_en16073112 crossref_primary_10_1080_13675567_2015_1075476 crossref_primary_10_1016_j_ijpe_2024_109153 crossref_primary_10_1002_nav_21909 crossref_primary_10_1016_j_ijpe_2015_01_007 crossref_primary_10_1016_j_omega_2013_02_001 crossref_primary_10_1155_2014_965395 crossref_primary_10_1016_j_omega_2014_10_004 crossref_primary_10_3390_su10114242 crossref_primary_10_1057_jors_2014_127 crossref_primary_10_1016_j_jretconser_2019_101921 crossref_primary_10_1080_0740817X_2014_981322 crossref_primary_10_1016_j_jom_2018_10_002 crossref_primary_10_1016_j_ejor_2015_01_012 crossref_primary_10_1109_TEM_2021_3077711 crossref_primary_10_1002_fut_21541 crossref_primary_10_1016_j_ijpe_2024_109260 crossref_primary_10_1016_j_eswa_2022_118081 crossref_primary_10_1108_IMDS_01_2020_0049 crossref_primary_10_1080_00207543_2014_986302 crossref_primary_10_1287_mnsc_2023_4927 crossref_primary_10_1155_2018_2369423 crossref_primary_10_1371_journal_pone_0285891 crossref_primary_10_3390_su16104029 crossref_primary_10_1155_2014_105098 crossref_primary_10_1007_s00291_014_0385_4 crossref_primary_10_2139_ssrn_4158073 crossref_primary_10_1007_s43069_023_00275_8 crossref_primary_10_2139_ssrn_4744238 crossref_primary_10_1016_j_ejor_2015_05_029 crossref_primary_10_1108_09574091211289200 crossref_primary_10_1016_j_jretconser_2021_102583 crossref_primary_10_1016_j_ejor_2020_01_064 crossref_primary_10_1016_j_ejor_2023_04_045 crossref_primary_10_1016_j_seps_2021_101156 crossref_primary_10_1016_j_sca_2024_100058 crossref_primary_10_1016_j_ejor_2013_07_015 crossref_primary_10_3934_jimo_2020118 crossref_primary_10_1007_s10479_013_1386_4 crossref_primary_10_2139_ssrn_2269204 crossref_primary_10_1007_s10479_021_04186_x crossref_primary_10_1080_00207543_2015_1030467 crossref_primary_10_1016_j_ijpe_2017_08_031 crossref_primary_10_1108_IJRDM_09_2016_0152 crossref_primary_10_1007_s10696_011_9078_3 crossref_primary_10_1080_00207543_2018_1535204 crossref_primary_10_1155_2022_9668872 crossref_primary_10_1080_17517575_2024_2338731 crossref_primary_10_1109_TEM_2018_2882843 crossref_primary_10_1002_nav_21695 crossref_primary_10_1007_s10479_015_1948_8 crossref_primary_10_1080_01605682_2020_1796532 crossref_primary_10_1108_IMDS_05_2015_0209 crossref_primary_10_1007_s10479_017_2637_6 |
Cites_doi | 10.1287/opre.1080.0521 10.1175/1520-0477-83.9.1303 10.1287/mnsc.43.4.559 10.1287/mnsc.1090.1137 10.1287/msom.4.3.171.7754 10.1287/mnsc.1030.0154 10.1016/S0272-6963(99)00012-1 10.1007/978-1-4615-4949-9_9 10.1007/978-1-4615-4949-9_8 10.1287/mksc.4.2.166 10.1287/opre.44.1.87 10.1002/nav.20114 10.1287/opre.1070.0364 10.1287/mnsc.1070.0700 10.1016/S0927-0507(03)11006-7 10.1016/S0377-2217(98)00123-4 10.1111/j.1937-5956.2005.tb00011.x 10.1287/mnsc.47.9.1220.9786 10.1086/467351 10.1007/978-1-4615-4949-9_7 10.1287/msom.5.4.269.24882 10.1287/mnsc.34.9.1080 10.1287/opre.1070.0429 10.1016/j.omega.2005.07.011 10.2139/ssrn.557831 10.1287/mnsc.43.1.40 10.2307/2527367 10.1287/mnsc.1040.0202 10.1287/msom.3.4.293.9971 10.1016/S0022-4359(01)00055-0 10.1007/978-1-4615-4949-9_10 10.1287/mnsc.1030.0190 10.1017/CBO9780511493348 10.1287/msom.2.1.100.23270 10.2139/ssrn.1314662 10.1287/mnsc.48.8.992.168 10.1080/713665730 10.2307/41166212 10.1111/j.1937-5956.2005.tb00012.x 10.1287/msom.1040.0061 10.1287/mnsc.44.2.276 |
ContentType | Journal Article |
Copyright | 2010 INFORMS 2015 INIST-CNRS COPYRIGHT 2010 Institute for Operations Research and the Management Sciences Copyright Institute for Operations Research and the Management Sciences Aug 2010 |
Copyright_xml | – notice: 2010 INFORMS – notice: 2015 INIST-CNRS – notice: COPYRIGHT 2010 Institute for Operations Research and the Management Sciences – notice: Copyright Institute for Operations Research and the Management Sciences Aug 2010 |
DBID | IQODW DKI X2L AAYXX CITATION 8BJ FQK JBE |
DOI | 10.1287/mnsc.1100.1194 |
DatabaseName | Pascal-Francis RePEc IDEAS RePEc 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) International Bibliography of the Social Sciences (IBSS) CrossRef |
Database_xml | – sequence: 1 dbid: DKI name: RePEc IDEAS url: http://ideas.repec.org/ sourceTypes: Index Database |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Business Applied Sciences |
EISSN | 1526-5501 |
EndPage | 1397 |
ExternalDocumentID | 2120320781 A236027152 10_1287_mnsc_1100_1194 inmormnsc_v_3a56_3ay_3a2010_3ai_3a8_3ap_3a1380_1397_htm 23112009 40785210 mnsc.1100.1194 |
Genre | Research Article Feature |
GeographicLocations | United States United States--US |
GeographicLocations_xml | – name: United States – name: United States--US |
GroupedDBID | 08R 0R1 1AW 1OL 29M 2AX 3EH 3R3 3V. 4 4.4 41 5GY 6XO 7WY 7X5 85S 8AO 8FI 8FJ 8FL 8VB AABCJ AAIKC AAPBV AAYJJ ABBHK ABEFU ABIVO ABNOP ABPPZ ABSIS ABTRL ABUFD ABUWG ABZEH ACDCL ACHQT ACNCT ACTDY ACVYA ACYGS ADBBV ADDCT ADGDI ADNFJ AEILP AENEX AETEA AEUPB AFDAS AFFDN AFFNX AFKRA AJPNJ AKVCP ALMA_UNASSIGNED_HOLDINGS AQNXB AQSKT AQUVI AZQEC B-7 BBAFP BENPR BEZIV BPHCQ BVXVI CBXGM CCKSF CS3 CWXUR CYVLN DU5 DWQXO EBA EBE EBO EBR EBS EBU ECR EHE EJD EMK EPL F20 F5P FH7 FRNLG FYUFA G8K GENNL GNUQQ GROUPED_ABI_INFORM_ARCHIVE GROUPED_ABI_INFORM_COMPLETE GROUPED_ABI_INFORM_RESEARCH GUPYA HGD HVGLF H~9 IAO IEA IGG IOF IPO ISM ITC JAV JBC JPL JSODD JST K6 K60 L8O LI M0C M0T M2M MV1 N95 NEJ NIEAY P-O P2P PQEST PQQKQ PQUKI PRINS PROAC QWB REX RNS RPU SA0 SJN TH9 TN5 U5U UKR VOH VQA WH7 X XFK XHC XI7 XXP XZL Y99 YCJ YNT YZZ ZCG ZL0 -~X .-4 18M AABXT AAMNW AAWTO AAYOK ABDNZ ABKVW ABLWH ABXSQ ABYYQ ACGFO ADEPB ADNWM ADULT AEGXH AEMOZ AFAIT AFTQD AGHSJ AHAJD AIAGR BAAKF ICW IPC IPY ISL JAAYA JBMMH JBZCM JENOY JHFFW JKQEH JLEZI JLXEF JPPEU K1G K6~ OFU XSW 41~ CCPQU IQODW PQBIZ PSYQQ UKHRP YYP ADYLN DKI X2L AAYXX ADACV ALIPV CITATION IPSME LPU PQBZA AAAZS AAXLS ADMHG APTMU 8BJ FQK JBE |
ID | FETCH-LOGICAL-c696t-f7d1cd99304d0602eb9a41ba1e1e48f785eb2c7ad26e9c638d0f429587d745293 |
ISSN | 0025-1909 |
IngestDate | Fri Aug 16 01:42:31 EDT 2024 Sun Sep 29 23:13:40 EDT 2024 Wed Jul 24 18:23:44 EDT 2024 Wed Oct 02 03:48:29 EDT 2024 Tue Jul 23 04:34:13 EDT 2024 Tue Jul 23 02:13:45 EDT 2024 Thu Sep 12 18:12:39 EDT 2024 Wed Aug 18 03:11:58 EDT 2021 Sun Oct 22 16:05:31 EDT 2023 Fri Feb 02 07:02:55 EST 2024 Tue Jan 05 23:25:09 EST 2021 |
IsPeerReviewed | true |
IsScholarly | true |
Issue | 8 |
Keywords | Coordination Pareto optimum weather derivatives Rebate supply chain coordination weather-linked rebate Flexibility weather risk Weather Production management Perishable item Sales Supply demand balance Retailers Seasonal demand Risk factor Profit Supplier Contract Logistics |
Language | English |
License | CC BY 4.0 |
LinkModel | OpenURL |
MergedId | FETCHMERGED-LOGICAL-c696t-f7d1cd99304d0602eb9a41ba1e1e48f785eb2c7ad26e9c638d0f429587d745293 |
Notes | ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 |
PQID | 747116255 |
PQPubID | 40737 |
PageCount | 18 |
ParticipantIDs | jstor_primary_40785210 gale_infotracgeneralonefile_A236027152 proquest_miscellaneous_816376959 pascalfrancis_primary_23112009 gale_infotracmisc_A236027152 repec_primary_inmormnsc_v_3a56_3ay_3a2010_3ai_3a8_3ap_3a1380_1397_htm gale_businessinsightsgauss_A236027152 gale_infotracacademiconefile_A236027152 crossref_primary_10_1287_mnsc_1100_1194 informs_primary_10_1287_mnsc_1100_1194 proquest_journals_747116255 |
ProviderPackageCode | Y99 RPU NIEAY |
PublicationCentury | 2000 |
PublicationDate | 2010-08-01 |
PublicationDateYYYYMMDD | 2010-08-01 |
PublicationDate_xml | – month: 08 year: 2010 text: 2010-08-01 day: 01 |
PublicationDecade | 2010 |
PublicationPlace | Hanover, MD |
PublicationPlace_xml | – name: Hanover, MD – name: Linthicum |
PublicationSeriesTitle | Management Science |
PublicationTitle | Management science |
PublicationYear | 2010 |
Publisher | INFORMS Institute for Operations Research and the Management Sciences |
Publisher_xml | – name: INFORMS – name: Institute for Operations Research and the Management Sciences |
References | B20 B64 B21 B65 B22 B66 B23 B67 B24 B25 B26 B27 B28 B29 B30 B31 B32 B33 B34 B35 B36 B37 B38 B39 B1 B2 B3 B4 B5 B6 B7 B8 B9 B40 B41 B42 B43 B44 B45 B46 B47 B48 B49 B50 B51 B52 B53 B10 B54 B11 B55 B12 B56 B13 B57 B14 B58 B15 B59 B16 B17 B18 B19 B60 B61 B62 B63 Byron E. (B8) 2005 Davis S. M. (B20) 2000 Wood D. (B66) 2007 Niemira M. P. (B50) 2005; 12 Dutton J. A. (B23) 2002; 83 Blumenthal R. G. (B4) 2007; 87 Malinow M. (B46) 2002 Earnest L. (B24) 2005 Barrieu P. (B3) 2009 Colin C. (B16) 2008 Kleiderman A. (B39) 2004 Shearer B. (B56) 1998; 106 Lustgarten A. (B45) 2005; 151 Bunge J. (B6) 2009 Padmanabhan V. (B52) 1995; 37 O'Donnell J. (B51) 2007 Edelson S. (B25) 2005; 189 |
References_xml | – ident: B12 – ident: B35 – ident: B60 – ident: B3 – ident: B41 – ident: B45 – ident: B7 – ident: B29 – ident: B64 – ident: B25 – ident: B50 – ident: B21 – ident: B16 – ident: B31 – ident: B58 – ident: B39 – ident: B54 – ident: B61 – ident: B59 – ident: B13 – ident: B2 – ident: B40 – ident: B28 – ident: B44 – ident: B49 – ident: B65 – ident: B6 – ident: B24 – ident: B48 – ident: B17 – ident: B30 – ident: B34 – ident: B51 – ident: B38 – ident: B55 – ident: B9 – ident: B14 – ident: B10 – ident: B43 – ident: B66 – ident: B20 – ident: B1 – ident: B27 – ident: B62 – ident: B5 – ident: B47 – ident: B23 – ident: B18 – ident: B33 – ident: B52 – ident: B37 – ident: B56 – ident: B8 – ident: B36 – ident: B11 – ident: B42 – ident: B67 – ident: B26 – ident: B4 – ident: B46 – ident: B63 – ident: B22 – ident: B32 – ident: B15 – ident: B57 – ident: B19 – ident: B53 – ident: B11 doi: 10.1287/opre.1080.0521 – volume: 83 start-page: 1303 issue: 9 year: 2002 ident: B23 publication-title: Bull. Amer. Meteorological Soc. doi: 10.1175/1520-0477-83.9.1303 contributor: fullname: Dutton J. A. – ident: B35 doi: 10.1287/mnsc.43.4.559 – ident: B15 doi: 10.1287/mnsc.1090.1137 – ident: B2 doi: 10.1287/msom.4.3.171.7754 – ident: B40 doi: 10.1287/mnsc.1030.0154 – volume-title: Future Wealth year: 2000 ident: B20 contributor: fullname: Davis S. M. – ident: B31 doi: 10.1016/S0272-6963(99)00012-1 – volume-title: Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice year: 2009 ident: B3 contributor: fullname: Barrieu P. – ident: B17 doi: 10.1007/978-1-4615-4949-9_9 – ident: B41 doi: 10.1007/978-1-4615-4949-9_8 – ident: B53 doi: 10.1287/mksc.4.2.166 – volume: 189 start-page: 17 issue: 120 year: 2005 ident: B25 publication-title: WWD: Women's Wear Daily contributor: fullname: Edelson S. – ident: B28 doi: 10.1287/opre.44.1.87 – volume: 106 start-page: 7 issue: 45 year: 1998 ident: B56 publication-title: American Metal Market contributor: fullname: Shearer B. – ident: B34 doi: 10.1002/nav.20114 – ident: B22 doi: 10.1287/opre.1070.0364 – issue: 1 volume-title: Treasury & Risk year: 2007 ident: B66 contributor: fullname: Wood D. – ident: B64 doi: 10.1287/mnsc.1070.0700 – ident: B9 doi: 10.1016/S0927-0507(03)11006-7 – ident: B43 doi: 10.1016/S0377-2217(98)00123-4 – ident: B29 doi: 10.1111/j.1937-5956.2005.tb00011.x – start-page: B1 issue: 13 volume-title: Wall Street Journal year: 2005 ident: B8 contributor: fullname: Byron E. – ident: B58 doi: 10.1287/mnsc.47.9.1220.9786 – ident: B38 doi: 10.1086/467351 – ident: B1 doi: 10.1007/978-1-4615-4949-9_7 – volume: 12 start-page: 23 issue: 2 year: 2005 ident: B50 publication-title: Internat. Council Shopping Centers Res. Rev. contributor: fullname: Niemira M. P. – ident: B63 doi: 10.1287/msom.5.4.269.24882 – volume: 37 start-page: 65 issue: 1 year: 1995 ident: B52 publication-title: Sloan Management Rev. contributor: fullname: Padmanabhan V. – ident: B21 doi: 10.1287/mnsc.34.9.1080 – ident: B14 doi: 10.1287/opre.1070.0429 – ident: B54 doi: 10.1016/j.omega.2005.07.011 – ident: B36 doi: 10.2139/ssrn.557831 – ident: B44 doi: 10.1287/mnsc.43.1.40 – issue: 25 year: 2004 ident: B39 publication-title: BBC News contributor: fullname: Kleiderman A. – ident: B48 doi: 10.2307/2527367 – ident: B49 doi: 10.1287/mnsc.1040.0202 – ident: B42 doi: 10.1287/msom.3.4.293.9971 – volume-title: Weather Risk Management year: 2002 ident: B46 contributor: fullname: Malinow M. – ident: B61 doi: 10.1016/S0022-4359(01)00055-0 – ident: B62 doi: 10.1007/978-1-4615-4949-9_10 – issue: 28 year: 2009 ident: B6 publication-title: Wall Street Journal contributor: fullname: Bunge J. – ident: B10 doi: 10.1287/mnsc.1030.0190 – ident: B37 doi: 10.1017/CBO9780511493348 – ident: B65 doi: 10.1287/msom.2.1.100.23270 – ident: B13 doi: 10.2139/ssrn.1314662 – issue: 7 year: 2008 ident: B16 publication-title: Portfolio.com contributor: fullname: Colin C. – ident: B59 doi: 10.1287/mnsc.48.8.992.168 – issue: 3 volume-title: Los Angeles Times year: 2005 ident: B24 contributor: fullname: Earnest L. – ident: B19 doi: 10.1080/713665730 – volume: 87 start-page: 17 issue: 40 year: 2007 ident: B4 publication-title: Barron's contributor: fullname: Blumenthal R. G. – volume: 151 start-page: 87 issue: 3 year: 2005 ident: B45 publication-title: Fortune contributor: fullname: Lustgarten A. – ident: B60 doi: 10.2307/41166212 – ident: B47 doi: 10.1111/j.1937-5956.2005.tb00012.x – ident: B30 doi: 10.1287/msom.1040.0061 – ident: B26 doi: 10.1287/mnsc.44.2.276 – start-page: 1B issue: 22 volume-title: USA Today year: 2007 ident: B51 contributor: fullname: O'Donnell J. |
SSID | ssj0007876 |
Score | 2.350079 |
Snippet | We consider a manufacturer-retailer supply chain for a seasonal product whose demand is weather sensitive. The retailer orders from the manufacturer (supplier)... |
SourceID | proquest gale crossref repec pascalfrancis jstor informs |
SourceType | Aggregation Database Index Database Publisher |
StartPage | 1380 |
SubjectTerms | Applied sciences Business orders Demand Exact sciences and technology Financial risk Inventory control, production control. Distribution Logistics Management Management science Operational research and scientific management Operational research. Management science Order quantity Retail stores Risk Risk management Risk premiums Sales rebates Studies Suppliers supply chain coordination Supply chain management Supply chains Temperature U.S.A Uncertainty Weather weather derivatives weather risk weather-linked rebate |
Title | Improving Supply Chain Performance and Managing Risk Under Weather-Related Demand Uncertainty |
URI | https://www.jstor.org/stable/40785210 http://econpapers.repec.org/article/inmormnsc/v_3a56_3ay_3a2010_3ai_3a8_3ap_3a1380-1397.htm https://www.proquest.com/docview/747116255/abstract/ https://search.proquest.com/docview/816376959 |
Volume | 56 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnV3db9MwELdgFYgXxNe0slH5gY-HKRA7348DdRqgVWisYi_Ish1n7KFZ1aRI8NdzFztpMlVi8BC3Sq-um_v5fGffByEvtQqZxKN_P8kzD0ARearImcdZUHAtlUoUBiefzuKTefjpIrrYVHtroktq9Vb_3hpX8j9chXvAV4yS_QfOdp3CDXgP_IUWOAztrXi82RFoinNiomIw9NGrfRAM0NUiOkM_8qbS0eE3q_p5jTOcQW_kBZLO4TuNj0A9OO7dOMkcuiWzv1vQ81VzFuQMbMvTr32JyCMPlAIrtowTgjz2wHJhfSlp0387NKQ9kccCW4rJLZ-oUW4VzRw3N44XZaUx9ABlta1ufCPd9ZDgLhnxJIvAqh69n86-nHWLLMiZuK3Gi8N3-TjhR94NexjoG27VvWeT0latDyo6xMoK5kRhi5kMrI3RyiyN7ikd54_IQ2ct0CPL-sfkjimfkPttsMJT8r1DALUIoA0CaA8BFNhKWwRQRABtEEBvIIBaBNAeAp6R-fH0_MOJ5wpmeDrO4torkpzpHDROP8z92OdGZTJkSjLDTJgWSRoZxXUicx6bTIPkzf0C9JEoTfIED-CDXbJTXpdmj9AglFxpVB5Zk3EIlkFfBUXkF4Xx0zwYkzftYxVLmxdFoD0JDBDIAIEMEMiAMXmFT124oqrQVLjtVF3KdVWJIx7AQBOAHPTY0CFv6pXU0sWHwHgwRdmA8vWA8tImaN9GeDAgBMmph_04IPz1L-w2OOnI8PAb9F5_TCYD4HQE8NgYnjuOyX6LJOEERyVwH4jFIBbHhHaf4tjQ37E01-tKpGAmJXEWQQfTBn9dz1flAkaMw_spAhnF0PyCC-c6vFzBlcK1hAsnpsDpKH7Ui-e3_a_75MFGbhyQnXq1Ni9A767VxM3BCVienz_-AYOu1nQ |
link.rule.ids | 315,786,790,4028,27957,27958,33779,33780 |
linkProvider | ProQuest |
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=Improving+Supply+Chain+Performance+and+Managing+Risk+Under+Weather-Related+Demand+Uncertainty&rft.jtitle=Management+science&rft.date=2010-08-01&rft.pub=INFORMS&rft.issn=0025-1909&rft.eissn=1526-5501&rft.volume=56&rft.issue=8&rft.spage=1380&rft.epage=1397&rft_id=info:doi/10.1287%2Fmnsc.1100.1194&rft.externalDocID=mnsc.1100.1194 |
thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0025-1909&client=summon |
thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0025-1909&client=summon |
thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0025-1909&client=summon |