A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain
<p dir="ltr">This research proposes a multi-period multiple parts mixed-integer linear programming optimization model for the trade-off analysis of spare parts supply through computer numerical control (CNC) manufacturing and additive manufacturing (AM). The multiple spare parts have...
محفوظ في:
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| مؤلفون آخرون: | , , |
| منشور في: |
2023
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| الموضوعات: | |
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| _version_ | 1864513528001462272 |
|---|---|
| author | Asma Mecheter (17908151) |
| author2 | Shaligram Pokharel (17151112) Faris Tarlochan (14158893) Fujio Tsumori (17908154) |
| author2_role | author author author |
| author_facet | Asma Mecheter (17908151) Shaligram Pokharel (17151112) Faris Tarlochan (14158893) Fujio Tsumori (17908154) |
| author_role | author |
| dc.creator.none.fl_str_mv | Asma Mecheter (17908151) Shaligram Pokharel (17151112) Faris Tarlochan (14158893) Fujio Tsumori (17908154) |
| dc.date.none.fl_str_mv | 2023-06-26T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1080/0951192x.2023.2228263 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/A_multi-period_multiple_parts_mixed_integer_linear_programming_model_for_AM_adoption_in_the_spare_parts_supply_Chain/25150970 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Manufacturing engineering Information and computing sciences Artificial intelligence Additive manufacturing supply chain spare parts optimization mixed integer linear programming conventional manufacturing |
| dc.title.none.fl_str_mv | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">This research proposes a multi-period multiple parts mixed-integer linear programming optimization model for the trade-off analysis of spare parts supply through computer numerical control (CNC) manufacturing and additive manufacturing (AM). The multiple spare parts have different characteristics such as volume, shape size, and geometry complexity. The model focuses on minimizing lead times and thus reducing downtime costs. Scenario analyses are developed for some parameters to assess the robustness of the model. The analysis shows that the mix between AM-based spare parts and CNC-based spare parts is sensitive to changes in demand. For the given data, the findings demonstrate that AM is cost-effective with spare parts having high geometry complexity while CNC-based manufacturing is economically feasible for spare parts with low geometry complexity and large sizes. The proposed model can support decision-makers in selecting the optimal manufacturing method for multiple spare parts having different characteristics and attributes. The paper concludes with limitations and future directions.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Computer Integrated Manufacturing<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/0951192x.2023.2228263" target="_blank">https://dx.doi.org/10.1080/0951192x.2023.2228263</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_bfe00b86c1ae2437e174a87b44917b1d |
| identifier_str_mv | 10.1080/0951192x.2023.2228263 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/25150970 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply ChainAsma Mecheter (17908151)Shaligram Pokharel (17151112)Faris Tarlochan (14158893)Fujio Tsumori (17908154)Commerce, management, tourism and servicesTransportation, logistics and supply chainsEngineeringManufacturing engineeringInformation and computing sciencesArtificial intelligenceAdditive manufacturingsupply chainspare partsoptimizationmixed integer linear programmingconventional manufacturing<p dir="ltr">This research proposes a multi-period multiple parts mixed-integer linear programming optimization model for the trade-off analysis of spare parts supply through computer numerical control (CNC) manufacturing and additive manufacturing (AM). The multiple spare parts have different characteristics such as volume, shape size, and geometry complexity. The model focuses on minimizing lead times and thus reducing downtime costs. Scenario analyses are developed for some parameters to assess the robustness of the model. The analysis shows that the mix between AM-based spare parts and CNC-based spare parts is sensitive to changes in demand. For the given data, the findings demonstrate that AM is cost-effective with spare parts having high geometry complexity while CNC-based manufacturing is economically feasible for spare parts with low geometry complexity and large sizes. The proposed model can support decision-makers in selecting the optimal manufacturing method for multiple spare parts having different characteristics and attributes. The paper concludes with limitations and future directions.</p><h2>Other Information</h2><p dir="ltr">Published in: International Journal of Computer Integrated Manufacturing<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1080/0951192x.2023.2228263" target="_blank">https://dx.doi.org/10.1080/0951192x.2023.2228263</a></p>2023-06-26T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1080/0951192x.2023.2228263https://figshare.com/articles/journal_contribution/A_multi-period_multiple_parts_mixed_integer_linear_programming_model_for_AM_adoption_in_the_spare_parts_supply_Chain/25150970CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/251509702023-06-26T03:00:00Z |
| spellingShingle | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain Asma Mecheter (17908151) Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Manufacturing engineering Information and computing sciences Artificial intelligence Additive manufacturing supply chain spare parts optimization mixed integer linear programming conventional manufacturing |
| status_str | publishedVersion |
| title | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| title_full | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| title_fullStr | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| title_full_unstemmed | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| title_short | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| title_sort | A multi-period multiple parts mixed integer linear programming model for AM adoption in the spare parts supply Chain |
| topic | Commerce, management, tourism and services Transportation, logistics and supply chains Engineering Manufacturing engineering Information and computing sciences Artificial intelligence Additive manufacturing supply chain spare parts optimization mixed integer linear programming conventional manufacturing |