Cookies

We use cookies to ensure that we give you the best experience on our website. By continuing to browse this repository, you give consent for essential cookies to be used. You can read more about our Privacy and Cookie Policy.


Durham Research Online
You are in:

In search for classification and selection of spare parts suitable for additive manufacturing : a literature review.

Frandsen, C.S. and Nielsen, M.M. and Chaudhuri, A. and Jayaram, J. and Govindan, K. (2020) 'In search for classification and selection of spare parts suitable for additive manufacturing : a literature review.', International journal of production research., 58 (4). pp. 970-996.

Abstract

This paper reviews the literature on additive manufacturing (AM) technologies and equipment, and spare parts classification criteria to propose a systematic process for selecting spare parts which are suitable for AM. This systematic process identifies criteria that can be used to select spare parts that are suitable for AM. The review found that there is limited research that addresses identifying processes for spare parts selection for AM, even though companies have identified this to be a key challenge in adopting AM. Seven areas for future research are identified relating to the methodology of spare parts selection for AM, processes for cross-functional integration in selecting spare parts for AM, broadening the spare parts portfolio that is suitable for AM (by considering usage of AM in conjunction with conventional technologies), and potential impact of AM on product modularity and integrality.

Item Type:Article
Full text:(AM) Accepted Manuscript
Download PDF
(812Kb)
Status:Peer-reviewed
Publisher Web site:https://doi.org/10.1080/00207543.2019.1605226
Publisher statement:This is an Accepted Manuscript of an article published by Taylor & Francis in International Journal of Production Research on 19th April 2019, available online: http://www.tandfonline.com/10.1080/00207543.2019.1605226
Date accepted:25 March 2019
Date deposited:19 September 2019
Date of first online publication:19 April 2019
Date first made open access:19 April 2020

Save or Share this output

Export:
Export
Look up in GoogleScholar