To kit or not to kit: analysing the value of model-based kitting for additive manufacturing

The use of additive manufacturing (AM) for the production of functional parts is increasing. Thus, AM based practices that can reduce supply chain costs gain in importance. We take a forward-looking approach and study how AM can be used more effectively in the production of multi-part products in lo...

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Main Authors: Khajavi, Siavash H., Baumers, Martin, Holmström, Jan, Özcan, Ender, Atkin, Jason, Jackson, Warren G., Li, Wenwen
Format: Article
Published: Elsevier 2018
Online Access:https://eprints.nottingham.ac.uk/50156/
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author Khajavi, Siavash H.
Baumers, Martin
Holmström, Jan
Özcan, Ender
Atkin, Jason
Jackson, Warren G.
Li, Wenwen
author_facet Khajavi, Siavash H.
Baumers, Martin
Holmström, Jan
Özcan, Ender
Atkin, Jason
Jackson, Warren G.
Li, Wenwen
author_sort Khajavi, Siavash H.
building Nottingham Research Data Repository
collection Online Access
description The use of additive manufacturing (AM) for the production of functional parts is increasing. Thus, AM based practices that can reduce supply chain costs gain in importance. We take a forward-looking approach and study how AM can be used more effectively in the production of multi-part products in low to medium quantities. The impact of introducing kitting in AM on supply chain cost is investigated. Kitting approaches are traditionally devised to feed all components belonging to an assembly into individual containers. Where conventional manufacturing approaches are used for kitting, the produced parts pass through inventory and a kit preparation step before being forwarded to the assembly line/station. However, by taking advantage of the object-oriented information handling inherent in the AM process, kitting information can be embedded directly within the digital design data and parts produced in a common build. This model-based kitting practice reduces – even eliminates - the need for a manual kit preparation step and promises additional supply chain benefits. Eight experiments were conducted using laser sintering (LS) to investigate the impact of model-based component kitting on production cost and supply chain cost. The results show that with current state-of-the art volume packing software production costs increase with the adoption of kitting. The increased production cost, was off-set by benefits, including simplified production planning, reduced work-in-progress inventory and elimination of parts fetching prior to assembly. Findings of this research are of interest for manufacturers, service bureaus and practitioners who use AM for low quantity production, as well as developers of AM volume packing and production planning software.
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spelling nottingham-501562020-05-04T19:44:02Z https://eprints.nottingham.ac.uk/50156/ To kit or not to kit: analysing the value of model-based kitting for additive manufacturing Khajavi, Siavash H. Baumers, Martin Holmström, Jan Özcan, Ender Atkin, Jason Jackson, Warren G. Li, Wenwen The use of additive manufacturing (AM) for the production of functional parts is increasing. Thus, AM based practices that can reduce supply chain costs gain in importance. We take a forward-looking approach and study how AM can be used more effectively in the production of multi-part products in low to medium quantities. The impact of introducing kitting in AM on supply chain cost is investigated. Kitting approaches are traditionally devised to feed all components belonging to an assembly into individual containers. Where conventional manufacturing approaches are used for kitting, the produced parts pass through inventory and a kit preparation step before being forwarded to the assembly line/station. However, by taking advantage of the object-oriented information handling inherent in the AM process, kitting information can be embedded directly within the digital design data and parts produced in a common build. This model-based kitting practice reduces – even eliminates - the need for a manual kit preparation step and promises additional supply chain benefits. Eight experiments were conducted using laser sintering (LS) to investigate the impact of model-based component kitting on production cost and supply chain cost. The results show that with current state-of-the art volume packing software production costs increase with the adoption of kitting. The increased production cost, was off-set by benefits, including simplified production planning, reduced work-in-progress inventory and elimination of parts fetching prior to assembly. Findings of this research are of interest for manufacturers, service bureaus and practitioners who use AM for low quantity production, as well as developers of AM volume packing and production planning software. Elsevier 2018-06-30 Article PeerReviewed Khajavi, Siavash H., Baumers, Martin, Holmström, Jan, Özcan, Ender, Atkin, Jason, Jackson, Warren G. and Li, Wenwen (2018) To kit or not to kit: analysing the value of model-based kitting for additive manufacturing. Computers in Industry, 98 . pp. 100-117. ISSN 0166-3615 https://www.sciencedirect.com/science/article/pii/S0166361517303779 doi:10.1016/j.compind.2018.01.022 doi:10.1016/j.compind.2018.01.022
spellingShingle Khajavi, Siavash H.
Baumers, Martin
Holmström, Jan
Özcan, Ender
Atkin, Jason
Jackson, Warren G.
Li, Wenwen
To kit or not to kit: analysing the value of model-based kitting for additive manufacturing
title To kit or not to kit: analysing the value of model-based kitting for additive manufacturing
title_full To kit or not to kit: analysing the value of model-based kitting for additive manufacturing
title_fullStr To kit or not to kit: analysing the value of model-based kitting for additive manufacturing
title_full_unstemmed To kit or not to kit: analysing the value of model-based kitting for additive manufacturing
title_short To kit or not to kit: analysing the value of model-based kitting for additive manufacturing
title_sort to kit or not to kit: analysing the value of model-based kitting for additive manufacturing
url https://eprints.nottingham.ac.uk/50156/
https://eprints.nottingham.ac.uk/50156/
https://eprints.nottingham.ac.uk/50156/