Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration
We develop a continuous review inventory model where lead-time is considered as a controllable variable. Lead-time is decomposed into all its components: set-up time, processing time and non-productive time. These components reflect the setup cost reduction, lot size lead-time interaction and lead-t...
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| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| التنسيق: | article |
| منشور في: |
2020
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://eprints.kfupm.edu.sa/id/eprint/2491/1/lead_time_reduction_in_a_stochastic_inve_ben_daya_isi_000180296500009.pdf |
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| _version_ | 1864513382436044800 |
|---|---|
| author | Bendaya, M. |
| author2 | Hariga, M unknown |
| author2_role | author author |
| author_facet | Bendaya, M. Hariga, M unknown |
| author_role | author |
| dc.creator.none.fl_str_mv | Bendaya, M. Hariga, M unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/2491/1/lead_time_reduction_in_a_stochastic_inve_ben_daya_isi_000180296500009.pdf Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 41. pp. 571-579. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | TAYLOR FRANCIS LTD |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/2491/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Systems |
| dc.title.none.fl_str_mv | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| dc.type.none.fl_str_mv | Article PeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
| description | We develop a continuous review inventory model where lead-time is considered as a controllable variable. Lead-time is decomposed into all its components: set-up time, processing time and non-productive time. These components reflect the setup cost reduction, lot size lead-time interaction and lead-time crashing, respectively. The learning effect in the production process is also included in the processing time component of the lead-time. The finite investment approach for lead-time and set-up cost reduction and their joint optimization, in addition to the lot size lead-time interaction, introduce a realistic direction in lead-time management and control. A numerical example and a sensitivity analysis are presented using the design of experiments to investigate the effect of the model parameters and, in particular, those related to the different lead-time components on the the expected total cost. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | KFUPM_c2b31ae143a9fa71e83487fe055b08a7 |
| identifier_str_mv | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 41. pp. 571-579. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai::2491 |
| publishDate | 2020 |
| publisher.none.fl_str_mv | TAYLOR FRANCIS LTD |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Lead-Time Reduction In A Stochastic Inventory System With Learning ConsiderationBendaya, M.Hariga, MunknownSystemsWe develop a continuous review inventory model where lead-time is considered as a controllable variable. Lead-time is decomposed into all its components: set-up time, processing time and non-productive time. These components reflect the setup cost reduction, lot size lead-time interaction and lead-time crashing, respectively. The learning effect in the production process is also included in the processing time component of the lead-time. The finite investment approach for lead-time and set-up cost reduction and their joint optimization, in addition to the lot size lead-time interaction, introduce a realistic direction in lead-time management and control. A numerical example and a sensitivity analysis are presented using the design of experiments to investigate the effect of the model parameters and, in particular, those related to the different lead-time components on the the expected total cost.TAYLOR FRANCIS LTDArticlePeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/2491/1/lead_time_reduction_in_a_stochastic_inve_ben_daya_isi_000180296500009.pdf Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 41. pp. 571-579. enhttps://eprints.kfupm.edu.sa/id/eprint/2491/2020info:eu-repo/semantics/openAccessoai::24912019-11-01T13:44:26Z |
| spellingShingle | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration Bendaya, M. Systems |
| status_str | publishedVersion |
| title | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| title_full | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| title_fullStr | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| title_full_unstemmed | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| title_short | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| title_sort | Lead-Time Reduction In A Stochastic Inventory System With Learning Consideration |
| topic | Systems |
| url | https://eprints.kfupm.edu.sa/id/eprint/2491/1/lead_time_reduction_in_a_stochastic_inve_ben_daya_isi_000180296500009.pdf |