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Utilizing additive manufacturing and mass customization under capacity constraints

Additive manufacturing (AM), originally used for prototyping, is increasingly adopted for custom final part production across different industries. However, printing speed and production volume are two barriers for the adoption of AM for product customization at large scale. Nevertheless, manufactur...

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Detalles Bibliográficos
Autores principales: Lacroix, Rachel, Timonina-Farkas, Anna, Seifert, Ralf W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813235/
https://www.ncbi.nlm.nih.gov/pubmed/36618339
http://dx.doi.org/10.1007/s10845-022-02007-x
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author Lacroix, Rachel
Timonina-Farkas, Anna
Seifert, Ralf W.
author_facet Lacroix, Rachel
Timonina-Farkas, Anna
Seifert, Ralf W.
author_sort Lacroix, Rachel
collection PubMed
description Additive manufacturing (AM), originally used for prototyping, is increasingly adopted for custom final part production across different industries. However, printing speed and production volume are two barriers for the adoption of AM for product customization at large scale. Nevertheless, manufacturers could aim to combine the benefits of AM for product customization with traditional mass customization (MC) technologies over the product life cycle (PLC). This approach is showcased in our paper as a manufacturing opportunity and is addressed via a non convex-concave optimization model that considers a monopolist manufacturer producing horizontally differentiated products at scale. To satisfy individual customer preferences under capacity considerations, the firm jointly decides on the inventory, production quantity, product variety, optimal technology-switching times (between AM and MC) and pricing strategy. Our approach can be implemented by decision-makers to leverage customer-centricity and benefit from this novel hybrid manufacturing practice. By deriving a closed-form solution for the production quantity based on an adaptive inventory policy, the resulting optimization problem is solved using the Sample Average Approximation framework grounded by analytical results. Our results demonstrate that the new usage of AM with MC can benefit a manufacturer for customer-centric driven strategies. Significant profit improvements can be achieved with an AM–MC–AM technology-switching scenario under certain capacity conditions and with an increasing-decreasing pricing strategy. Our results also indicate that the benefits of pricing flexibility are highest when capacity is unlimited or when the firm does not hold inventory. Under capacity constraints, a simple decreasing pricing policy combined with inventory performs very well.
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spelling pubmed-98132352023-01-06 Utilizing additive manufacturing and mass customization under capacity constraints Lacroix, Rachel Timonina-Farkas, Anna Seifert, Ralf W. J Intell Manuf Article Additive manufacturing (AM), originally used for prototyping, is increasingly adopted for custom final part production across different industries. However, printing speed and production volume are two barriers for the adoption of AM for product customization at large scale. Nevertheless, manufacturers could aim to combine the benefits of AM for product customization with traditional mass customization (MC) technologies over the product life cycle (PLC). This approach is showcased in our paper as a manufacturing opportunity and is addressed via a non convex-concave optimization model that considers a monopolist manufacturer producing horizontally differentiated products at scale. To satisfy individual customer preferences under capacity considerations, the firm jointly decides on the inventory, production quantity, product variety, optimal technology-switching times (between AM and MC) and pricing strategy. Our approach can be implemented by decision-makers to leverage customer-centricity and benefit from this novel hybrid manufacturing practice. By deriving a closed-form solution for the production quantity based on an adaptive inventory policy, the resulting optimization problem is solved using the Sample Average Approximation framework grounded by analytical results. Our results demonstrate that the new usage of AM with MC can benefit a manufacturer for customer-centric driven strategies. Significant profit improvements can be achieved with an AM–MC–AM technology-switching scenario under certain capacity conditions and with an increasing-decreasing pricing strategy. Our results also indicate that the benefits of pricing flexibility are highest when capacity is unlimited or when the firm does not hold inventory. Under capacity constraints, a simple decreasing pricing policy combined with inventory performs very well. Springer US 2022-09-27 2023 /pmc/articles/PMC9813235/ /pubmed/36618339 http://dx.doi.org/10.1007/s10845-022-02007-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Lacroix, Rachel
Timonina-Farkas, Anna
Seifert, Ralf W.
Utilizing additive manufacturing and mass customization under capacity constraints
title Utilizing additive manufacturing and mass customization under capacity constraints
title_full Utilizing additive manufacturing and mass customization under capacity constraints
title_fullStr Utilizing additive manufacturing and mass customization under capacity constraints
title_full_unstemmed Utilizing additive manufacturing and mass customization under capacity constraints
title_short Utilizing additive manufacturing and mass customization under capacity constraints
title_sort utilizing additive manufacturing and mass customization under capacity constraints
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9813235/
https://www.ncbi.nlm.nih.gov/pubmed/36618339
http://dx.doi.org/10.1007/s10845-022-02007-x
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