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DC Field | Value | Language |
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dc.contributor.author | Chen, Z | - |
dc.contributor.author | Zhang, R-Q | - |
dc.date.accessioned | 2024-01-27T10:26:08Z | - |
dc.date.available | 2024-01-27T10:26:08Z | - |
dc.date.issued | 2021-12-06 | - |
dc.identifier | ORCID iD: Zhen Chen https://orcid.org/0000-0002-1619-3017 | - |
dc.identifier.citation | Chen, Z. and Zhang, R.-Q. (2021) 'A multi-period multi-product stochastic inventory problem with order-based loan', International Journal of Production Research, 0 (ahead of print), pp. 1 - 14. doi: 10.1080/00207543.2021.2006818. | en_US |
dc.identifier.issn | 0020-7543 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28107 | - |
dc.description | Data availability statement: The data that support the findings of this study are available from the corresponding author Zhen Chen: chen.zhen5526@gmail.com or robinchen@swu.edu.cn, upon reasonable request. | en_US |
dc.description | The preprint archived archived on this institutional repository was archived at arXiv:2012.04850v1 [math.OC, https://doi.org/10.48550/arXiv.2012.04850, under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). It has not been certified by peer review. You are advised to consult the published version available online at: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.2006818 . | - |
dc.description.abstract | This paper investigates a multi-period multi-product stochastic inventory problem in which a cash-constrained online retailer can leverage order-based loans provided by some Chinese e-commerce platforms to speed up its cash recovery for deferred revenue. Sample average approximation (SAA) and moment-matching scenario tree are adopted to solve this multi-stage problem with the objective of maximising the retailer's expected profit over the planning horizon. We conduct numerical tests based on crawling real data from an online store. The results show that the solutions of the two stochastic modelling approaches are very close. Moreover, the retailer tends to use order-based loans when its initial available cash is limited or it is facing a long revenue delaying length. Practitioners can make use of the modelling techniques in this paper to estimate whether it is beneficial to apply for an order-based loan. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China under Project 72101213, 71971010; Chongqing Social Science Planning Fund under Project 2020BS49; the Fundamental Research Funds for the Central Universities of China under Project SWU1909738; the Research Funds of the Research Institute of Intelligent Finance and Platform Economics, Southwest University under Project 20YJ0105. | en_US |
dc.format.extent | 1 - 14 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en | en_US |
dc.publisher | Routledge (Tayor & Francis Group) | en_US |
dc.rights | Copyright © 2020 The Author(s). The preprint archived archived on this institutional repository was archived at arXiv.org, licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). It has not been certified by peer review. You are advised to consult the published version available online at: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.2006818 . | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | supply chain finance | en_US |
dc.subject | stochastic inventory | en_US |
dc.subject | SAA | en_US |
dc.subject | scenario tree | en_US |
dc.subject | order-based loan | en_US |
dc.title | A multi-period multi-product stochastic inventory problem with order-based loan * | en_US |
dc.type | Article | en_US |
dc.identifier.doi | https://doi.org/10.1080/00207543.2021.2006818 | - |
dc.relation.isPartOf | International Journal of Production Research | - |
pubs.issue | ahead of print | - |
pubs.publication-status | Published | - |
pubs.volume | 0 | - |
dc.identifier.eissn | 1366-588X | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Brunel Business School Research Papers |
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FullText.pdf | Copyright © 2020 The Author(s). The preprint archived archived on this institutional repository was archived at arXiv.org, licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/). It has not been certified by peer review. You are advised to consult the published version available online at: https://www.tandfonline.com/doi/full/10.1080/00207543.2021.2006818 . | 216.85 kB | Adobe PDF | View/Open |
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