Siavash H. Khajavi
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
Authors
Dr MARTIN BAUMERS MARTIN.BAUMERS@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Jan Holmström
Professor Ender Ozcan ender.ozcan@nottingham.ac.uk
PROFESSOR OF COMPUTER SCIENCE AND OPERATIONAL RESEARCH
Dr JASON ATKIN JASON.ATKIN@NOTTINGHAM.AC.UK
ASSOCIATE PROFESSOR
Warren G. Jackson
Wenwen Li
Abstract
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.
Citation
Khajavi, S. H., Baumers, M., Holmström, J., Özcan, E., Atkin, J., Jackson, W. G., & Li, W. (2018). To kit or not to kit: analysing the value of model-based kitting for additive manufacturing. Computers in Industry, 98, https://doi.org/10.1016/j.compind.2018.01.022
Journal Article Type | Article |
---|---|
Acceptance Date | Jan 30, 2018 |
Online Publication Date | Mar 11, 2018 |
Publication Date | Jun 30, 2018 |
Deposit Date | Mar 12, 2018 |
Publicly Available Date | Mar 12, 2019 |
Journal | Computers in Industry |
Print ISSN | 0166-3615 |
Electronic ISSN | 0166-3615 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 98 |
DOI | https://doi.org/10.1016/j.compind.2018.01.022 |
Public URL | https://nottingham-repository.worktribe.com/output/944072 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S0166361517303779 |
Contract Date | Mar 12, 2018 |
Files
toKit.pdf
(1.9 Mb)
PDF
Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
You might also like
CUDA-based parallel local search for the set-union knapsack problem
(2024)
Journal Article
A benchmark dataset for multi-objective flexible job shop cell scheduling
(2023)
Journal Article
Downloadable Citations
About Repository@Nottingham
Administrator e-mail: discovery-access-systems@nottingham.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search