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DC Field | Value | Language |
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dc.contributor.author | Rossi, R | - |
dc.contributor.author | Chen, Z | - |
dc.contributor.author | Tarim, SA | - |
dc.date.accessioned | 2024-06-23T19:09:06Z | - |
dc.date.available | 2024-06-23T19:09:06Z | - |
dc.date.issued | 2023-07-05 | - |
dc.identifier | ORCiD: Roberto Rossi https://orcid.org/0000-0001-7247-1010 | - |
dc.identifier | ORCiD: Zhen Chen https://orcid.org/0000-0002-1619-3017 | - |
dc.identifier | ORCiD: S. Armagan Tarim https://orcid.org/0000-0001-5601-3968 | - |
dc.identifier.citation | Rossi, R., Chen, Z. and Tarim, S.A. (2023) 'On the stochastic inventory problem under order capacity constraints', European Journal of Operational Research, 312 (2), pp. 541 - 555. doi: 10.1016/j.ejor.2023.06.045. | en_US |
dc.identifier.issn | 0377-2217 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/29261 | - |
dc.description.abstract | We consider the single-item single-stocking location stochastic inventory system under a fixed ordering cost component. A long-standing problem is that of determining the structure of the optimal control policy when this system is subject to order quantity capacity constraints; to date, only partial characterisations of the optimal policy have been discussed. An open question is whether a policy with a single continuous interval over which ordering is prescribed is optimal for this problem. Under the so-called “continuous order property” conjecture, we show that the optimal policy takes the modified multi- form. Moreover, we provide a numerical counterexample in which the continuous order property is violated, and hence show that a modified multi- policy is not optimal in general. However, in an extensive computational study, we show that instances violating the continuous order property do not surface, and that the plans generated by a modified multi- policy can therefore be considered, from a practical standpoint, near-optimal. Finally, we show that a modified policy also performs well in this empirical setting. | en_US |
dc.description.sponsorship | National Natural Science Foundation of China No. 72101213 (Data-driven demand forecasting, inventory and financing management and their integration research).. | en_US |
dc.format.extent | 541 - 555 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/ ) | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | inventory | en_US |
dc.subject | stochastic lot sizing | en_US |
dc.subject | order capacity | en_US |
dc.subject | modified multi-(s, S) policy | en_US |
dc.title | On the stochastic inventory problem under order capacity constraints | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2023-06-30 | - |
dc.identifier.doi | https://doi.org/10.1016/j.ejor.2023.06.045 | - |
dc.relation.isPartOf | European Journal of Operational Research | - |
pubs.issue | 2 | - |
pubs.publication-status | Published | - |
pubs.volume | 312 | - |
dc.identifier.eissn | 1872-6860 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
dc.rights.holder | The Author(s) | - |
Appears in Collections: | Brunel Business School Research Papers |
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FullText.pdf | Copyright © 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license ( https://creativecommons.org/licenses/by/4.0/ ) | 1.69 MB | Adobe PDF | View/Open |
This item is licensed under a Creative Commons License