Multi-period pricing and order decisions for fresh produce with option contracts

Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, opti...
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Autor*in:	Chen, Xingyu [verfasserIn] Wang, Chong Jia, Deng Bai, Yujia

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2023

Schlagwörter:	Supply chain management Pricing and order decisions Multi-period Fresh produce Option contracts

Anmerkung:	© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Übergeordnetes Werk:	Enthalten in: Annals of operations research - Springer US, 1984, 335(2023), 1 vom: 22. Juli, Seite 79-110
Übergeordnetes Werk:	volume:335 ; year:2023 ; number:1 ; day:22 ; month:07 ; pages:79-110

Links:	Volltext

DOI / URN:	10.1007/s10479-023-05515-y

Katalog-ID:	SPR055346898

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520			\|a Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period.
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allfields	10.1007/s10479-023-05515-y doi (DE-627)SPR055346898 (SPR)s10479-023-05515-y-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 85.03 bkl Chen, Xingyu verfasserin aut Multi-period pricing and order decisions for fresh produce with option contracts 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. Supply chain management (dpeaa)DE-He213 Pricing and order decisions (dpeaa)DE-He213 Multi-period (dpeaa)DE-He213 Fresh produce (dpeaa)DE-He213 Option contracts (dpeaa)DE-He213 Wang, Chong (orcid)0000-0003-0027-8590 aut Jia, Deng aut Bai, Yujia aut Enthalten in Annals of operations research Springer US, 1984 335(2023), 1 vom: 22. Juli, Seite 79-110 (DE-627)320615421 (DE-600)2021913-1 1572-9338 nnns volume:335 year:2023 number:1 day:22 month:07 pages:79-110 https://dx.doi.org/10.1007/s10479-023-05515-y lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 VZ AR 335 2023 1 22 07 79-110
spelling	10.1007/s10479-023-05515-y doi (DE-627)SPR055346898 (SPR)s10479-023-05515-y-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 85.03 bkl Chen, Xingyu verfasserin aut Multi-period pricing and order decisions for fresh produce with option contracts 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. Supply chain management (dpeaa)DE-He213 Pricing and order decisions (dpeaa)DE-He213 Multi-period (dpeaa)DE-He213 Fresh produce (dpeaa)DE-He213 Option contracts (dpeaa)DE-He213 Wang, Chong (orcid)0000-0003-0027-8590 aut Jia, Deng aut Bai, Yujia aut Enthalten in Annals of operations research Springer US, 1984 335(2023), 1 vom: 22. Juli, Seite 79-110 (DE-627)320615421 (DE-600)2021913-1 1572-9338 nnns volume:335 year:2023 number:1 day:22 month:07 pages:79-110 https://dx.doi.org/10.1007/s10479-023-05515-y lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 VZ AR 335 2023 1 22 07 79-110
allfields_unstemmed	10.1007/s10479-023-05515-y doi (DE-627)SPR055346898 (SPR)s10479-023-05515-y-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 85.03 bkl Chen, Xingyu verfasserin aut Multi-period pricing and order decisions for fresh produce with option contracts 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. Supply chain management (dpeaa)DE-He213 Pricing and order decisions (dpeaa)DE-He213 Multi-period (dpeaa)DE-He213 Fresh produce (dpeaa)DE-He213 Option contracts (dpeaa)DE-He213 Wang, Chong (orcid)0000-0003-0027-8590 aut Jia, Deng aut Bai, Yujia aut Enthalten in Annals of operations research Springer US, 1984 335(2023), 1 vom: 22. Juli, Seite 79-110 (DE-627)320615421 (DE-600)2021913-1 1572-9338 nnns volume:335 year:2023 number:1 day:22 month:07 pages:79-110 https://dx.doi.org/10.1007/s10479-023-05515-y lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 VZ AR 335 2023 1 22 07 79-110
allfieldsGer	10.1007/s10479-023-05515-y doi (DE-627)SPR055346898 (SPR)s10479-023-05515-y-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 85.03 bkl Chen, Xingyu verfasserin aut Multi-period pricing and order decisions for fresh produce with option contracts 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. Supply chain management (dpeaa)DE-He213 Pricing and order decisions (dpeaa)DE-He213 Multi-period (dpeaa)DE-He213 Fresh produce (dpeaa)DE-He213 Option contracts (dpeaa)DE-He213 Wang, Chong (orcid)0000-0003-0027-8590 aut Jia, Deng aut Bai, Yujia aut Enthalten in Annals of operations research Springer US, 1984 335(2023), 1 vom: 22. Juli, Seite 79-110 (DE-627)320615421 (DE-600)2021913-1 1572-9338 nnns volume:335 year:2023 number:1 day:22 month:07 pages:79-110 https://dx.doi.org/10.1007/s10479-023-05515-y lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 VZ AR 335 2023 1 22 07 79-110
allfieldsSound	10.1007/s10479-023-05515-y doi (DE-627)SPR055346898 (SPR)s10479-023-05515-y-e DE-627 ger DE-627 rakwb eng 004 VZ 004 VZ 85.03 bkl Chen, Xingyu verfasserin aut Multi-period pricing and order decisions for fresh produce with option contracts 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. Supply chain management (dpeaa)DE-He213 Pricing and order decisions (dpeaa)DE-He213 Multi-period (dpeaa)DE-He213 Fresh produce (dpeaa)DE-He213 Option contracts (dpeaa)DE-He213 Wang, Chong (orcid)0000-0003-0027-8590 aut Jia, Deng aut Bai, Yujia aut Enthalten in Annals of operations research Springer US, 1984 335(2023), 1 vom: 22. Juli, Seite 79-110 (DE-627)320615421 (DE-600)2021913-1 1572-9338 nnns volume:335 year:2023 number:1 day:22 month:07 pages:79-110 https://dx.doi.org/10.1007/s10479-023-05515-y lizenzpflichtig Volltext SYSFLAG_0 GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 85.03 VZ AR 335 2023 1 22 07 79-110
language	English
source	Enthalten in Annals of operations research 335(2023), 1 vom: 22. Juli, Seite 79-110 volume:335 year:2023 number:1 day:22 month:07 pages:79-110
sourceStr	Enthalten in Annals of operations research 335(2023), 1 vom: 22. Juli, Seite 79-110 volume:335 year:2023 number:1 day:22 month:07 pages:79-110
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Supply chain management Pricing and order decisions Multi-period Fresh produce Option contracts
dewey-raw	004
isfreeaccess_bool	false
container_title	Annals of operations research
authorswithroles_txt_mv	Chen, Xingyu @@aut@@ Wang, Chong @@aut@@ Jia, Deng @@aut@@ Bai, Yujia @@aut@@
publishDateDaySort_date	2023-07-22T00:00:00Z
hierarchy_top_id	320615421
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language_de	englisch
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author	Chen, Xingyu
spellingShingle	Chen, Xingyu ddc 004 bkl 85.03 misc Supply chain management misc Pricing and order decisions misc Multi-period misc Fresh produce misc Option contracts Multi-period pricing and order decisions for fresh produce with option contracts
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topic_title	004 VZ 85.03 bkl Multi-period pricing and order decisions for fresh produce with option contracts Supply chain management (dpeaa)DE-He213 Pricing and order decisions (dpeaa)DE-He213 Multi-period (dpeaa)DE-He213 Fresh produce (dpeaa)DE-He213 Option contracts (dpeaa)DE-He213
topic	ddc 004 bkl 85.03 misc Supply chain management misc Pricing and order decisions misc Multi-period misc Fresh produce misc Option contracts
topic_unstemmed	ddc 004 bkl 85.03 misc Supply chain management misc Pricing and order decisions misc Multi-period misc Fresh produce misc Option contracts
topic_browse	ddc 004 bkl 85.03 misc Supply chain management misc Pricing and order decisions misc Multi-period misc Fresh produce misc Option contracts
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title	Multi-period pricing and order decisions for fresh produce with option contracts
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title_full	Multi-period pricing and order decisions for fresh produce with option contracts
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title_sort	multi-period pricing and order decisions for fresh produce with option contracts
title_auth	Multi-period pricing and order decisions for fresh produce with option contracts
abstract	Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstractGer	Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
abstract_unstemmed	Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.
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title_short	Multi-period pricing and order decisions for fresh produce with option contracts
url	https://dx.doi.org/10.1007/s10479-023-05515-y
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author2	Wang, Chong Jia, Deng Bai, Yujia
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doi_str	10.1007/s10479-023-05515-y
up_date	2024-07-03T15:01:51.212Z
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fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000naa a22002652 4500</leader><controlfield tag="001">SPR055346898</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20240330064628.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">240330s2023 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s10479-023-05515-y</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR055346898</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s10479-023-05515-y-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">004</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">85.03</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Chen, Xingyu</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Multi-period pricing and order decisions for fresh produce with option contracts</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2023</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract With the construction of a multi-period newsvendor model, this study examines the ordering behaviour and pricing decisions of a fresh produce firm. The firm ordered the fresh produce via a wholesale price contract and option contract to determine the optimal preliminary order quantity, option order quantity, and retail pricing when faced with price-dependent random demand. We first determine the optimal decision that could be made through the use of the single-period model. The results revealed that the firm’s retail price, option order quantity and total order quantity all increased in the circulation loss rate. In contrast, the preliminary order quantity was found to decrease in the circulation loss rate. In the multi-period model, the retail price and total order quantity were unaffected by the price difference between the regular and concessionary prices, while an increase in the price difference caused an increase in the option order quantity and decrease in the preliminary order quantity in the previous period. Further, a lower discount factor for the concessionary price than for the regular price did not have as much of an effect on the retail price and total order quantity, while a rise in the discount factor led to a fall in the option order quantity as well as a rise in the preliminary order quantity in the previous period.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Supply chain management</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pricing and order decisions</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Multi-period</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Fresh produce</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Option contracts</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, Chong</subfield><subfield code="0">(orcid)0000-0003-0027-8590</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Jia, Deng</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bai, Yujia</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Annals of operations research</subfield><subfield code="d">Springer US, 1984</subfield><subfield code="g">335(2023), 1 vom: 22. Juli, Seite 79-110</subfield><subfield code="w">(DE-627)320615421</subfield><subfield code="w">(DE-600)2021913-1</subfield><subfield code="x">1572-9338</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:335</subfield><subfield code="g">year:2023</subfield><subfield code="g">number:1</subfield><subfield code="g">day:22</subfield><subfield code="g">month:07</subfield><subfield code="g">pages:79-110</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s10479-023-05515-y</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_0</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" 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