The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices

Bruna Torres; Bardia Naghshineh; Gonçalo Cardeal; Duarte Filipe; Helena Carvalho; Paulo Peças; Inês Ribeiro

doi:10.1007/978-3-030-41429-0_16

The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices

Bruna Torres, Bardia Naghshineh, Gonçalo Cardeal, Duarte Filipe, Helena Carvalho, Paulo Peças, Inês Ribeiro

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

16 Citations (Scopus)

Abstract

Additive manufacturing (AM) is an emerging technology that is changing the supply chain’s structure in a context where consumers are looking for more diversified, customizable, and yet more environmentally friendly products and technologies. The literature suggests that AM technology improves the efficiency of a supply chain by contributing to waste reduction, elimination of many assembly steps, and less energy consumption, which in turn results in “leaner” and “greener” production processes. To further investigate such implications of AM technology, this study collects anecdotal evidence from research papers regarding the impact of AM on supporting four of the lean/green supply chain practices. As a result, a theoretical framework is developed; and in a final research stage, it is discussed in an interview with a company manager. This paper’s main contribution is to provide a theoretical and managerial perspective on how the AM technology can support lean/green supply chain practices helping to achieve a better supply chain performance.

Original language	English
Title of host publication	Proceedings of the 6th European Lean Educator Conference, ELEC 2019
Editors	Monica Rossi, Matteo Rossini, Sergio Terzi
Place of Publication	Cham
Publisher	Springer
Pages	159-168
Number of pages	10
ISBN (Electronic)	978-3-030-41429-0
ISBN (Print)	978-3-030-41428-3
DOIs	https://doi.org/10.1007/978-3-030-41429-0_16
Publication status	Published - 2020
Event	6th European Lean Educator Conference, ELEC 2019 - Milan, Italy Duration: 11 Nov 2019 → 13 Nov 2019

Publication series

Name	Lecture Notes in Networks and Systems
Publisher	Springer
Volume	122
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	6th European Lean Educator Conference, ELEC 2019
Country/Territory	Italy
City	Milan
Period	11/11/19 → 13/11/19

Keywords

Additive manufacturing
Lean/green
Supply chain
Sustainability

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-030-41429-0_16

Cite this

Torres, B., Naghshineh, B., Cardeal, G., Filipe, D., Carvalho, H., Peças, P., & Ribeiro, I. (2020). The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices. In M. Rossi, M. Rossini, & S. Terzi (Eds.), Proceedings of the 6th European Lean Educator Conference, ELEC 2019 (pp. 159-168). (Lecture Notes in Networks and Systems; Vol. 122). Springer. https://doi.org/10.1007/978-3-030-41429-0_16

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title = "The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices",

abstract = "Additive manufacturing (AM) is an emerging technology that is changing the supply chain{\textquoteright}s structure in a context where consumers are looking for more diversified, customizable, and yet more environmentally friendly products and technologies. The literature suggests that AM technology improves the efficiency of a supply chain by contributing to waste reduction, elimination of many assembly steps, and less energy consumption, which in turn results in “leaner” and “greener” production processes. To further investigate such implications of AM technology, this study collects anecdotal evidence from research papers regarding the impact of AM on supporting four of the lean/green supply chain practices. As a result, a theoretical framework is developed; and in a final research stage, it is discussed in an interview with a company manager. This paper{\textquoteright}s main contribution is to provide a theoretical and managerial perspective on how the AM technology can support lean/green supply chain practices helping to achieve a better supply chain performance.",

keywords = "Additive manufacturing, Lean/green, Supply chain, Sustainability",

author = "Bruna Torres and Bardia Naghshineh and Gon{\c c}alo Cardeal and Duarte Filipe and Helena Carvalho and Paulo Pe{\c c}as and In{\^e}s Ribeiro",

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Torres, B, Naghshineh, B, Cardeal, G, Filipe, D, Carvalho, H, Peças, P & Ribeiro, I 2020, The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices. in M Rossi, M Rossini & S Terzi (eds), Proceedings of the 6th European Lean Educator Conference, ELEC 2019. Lecture Notes in Networks and Systems, vol. 122, Springer, Cham, pp. 159-168, 6th European Lean Educator Conference, ELEC 2019, Milan, Italy, 11/11/19. https://doi.org/10.1007/978-3-030-41429-0_16

The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices. / Torres, Bruna; Naghshineh, Bardia; Cardeal, Gonçalo et al.
Proceedings of the 6th European Lean Educator Conference, ELEC 2019. ed. / Monica Rossi; Matteo Rossini; Sergio Terzi. Cham: Springer, 2020. p. 159-168 (Lecture Notes in Networks and Systems; Vol. 122).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Peças, Paulo

AU - Ribeiro, Inês

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N2 - Additive manufacturing (AM) is an emerging technology that is changing the supply chain’s structure in a context where consumers are looking for more diversified, customizable, and yet more environmentally friendly products and technologies. The literature suggests that AM technology improves the efficiency of a supply chain by contributing to waste reduction, elimination of many assembly steps, and less energy consumption, which in turn results in “leaner” and “greener” production processes. To further investigate such implications of AM technology, this study collects anecdotal evidence from research papers regarding the impact of AM on supporting four of the lean/green supply chain practices. As a result, a theoretical framework is developed; and in a final research stage, it is discussed in an interview with a company manager. This paper’s main contribution is to provide a theoretical and managerial perspective on how the AM technology can support lean/green supply chain practices helping to achieve a better supply chain performance.

AB - Additive manufacturing (AM) is an emerging technology that is changing the supply chain’s structure in a context where consumers are looking for more diversified, customizable, and yet more environmentally friendly products and technologies. The literature suggests that AM technology improves the efficiency of a supply chain by contributing to waste reduction, elimination of many assembly steps, and less energy consumption, which in turn results in “leaner” and “greener” production processes. To further investigate such implications of AM technology, this study collects anecdotal evidence from research papers regarding the impact of AM on supporting four of the lean/green supply chain practices. As a result, a theoretical framework is developed; and in a final research stage, it is discussed in an interview with a company manager. This paper’s main contribution is to provide a theoretical and managerial perspective on how the AM technology can support lean/green supply chain practices helping to achieve a better supply chain performance.

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Torres B, Naghshineh B, Cardeal G, Filipe D, Carvalho H, Peças P et al. The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices. In Rossi M, Rossini M, Terzi S, editors, Proceedings of the 6th European Lean Educator Conference, ELEC 2019. Cham: Springer. 2020. p. 159-168. (Lecture Notes in Networks and Systems). doi: 10.1007/978-3-030-41429-0_16

The Impacts of Additive Manufacturing Technology on Lean/Green Supply Chain Management Practices

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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