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How additive manufacturing allows products to absorb variety in use : empirical evidence from the defence industry

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Davies, Philip, Parry, Glenn, Alves, Kyle and Ng, Irene C. L. (2022) How additive manufacturing allows products to absorb variety in use : empirical evidence from the defence industry. Production Planning & Control, 33 (2-3). pp. 175-192. doi:10.1080/09537287.2020.1810763 ISSN 0953-7287.

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Official URL: http://dx.doi.org/10.1080/09537287.2020.1810763

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Abstract

The normative assumption holds that a product’s structural and functional elements are fixed pre-production to support manufacturing efficiency. Firms servitizing are faced with delivering resources for customers in context and absorbing contextual variety presents a number of challenges. This paper examines shortcomings of modular design and whether additive manufacturing can efficiently provides high variety that meets emergent user demand. A case study is undertaken, drawing upon design change data and in-depth interviews with industry experts. Findings show that introducing design changes to modular products through life creates complexity in the product architecture and the supply chain. We find that AM can act as a supply chain solution, managing complexity and allowing products and supply chains to efficiently and effectively absorb contextual variety. Existing theory must expand beyond the normative assumption that the physical product is fixed, to include cases where the tangible product can absorb variety to meet the emergent need.

Item Type: Journal Article
Subjects: H Social Sciences > HD Industries. Land use. Labor
T Technology > TS Manufactures
Divisions: Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Production management, Business logistics, Additive manufacturing, Service industries -- Management, Manufacturing industries
Journal or Publication Title: Production Planning & Control
Publisher: Taylor & Francis Ltd.
ISSN: 0953-7287
Official Date: 2022
Dates:
DateEvent
2022Published
25 August 2020Available
22 January 2020Accepted
31 May 2019Submitted
Volume: 33
Number: 2-3
Page Range: pp. 175-192
DOI: 10.1080/09537287.2020.1810763
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): This is an Accepted Manuscript of an article published by Taylor & Francis in Production Planning & Control on 25/08/2020, available online: http://www.tandfonline.com/10.1080/09537287.2020.1810763”
Access rights to Published version: Restricted or Subscription Access
Copyright Holders: Informa UK Limited, trading as Taylor & Francis Group
Date of first compliant deposit: 31 August 2022
Date of first compliant Open Access: 31 August 2022
RIOXX Funder/Project Grant:
Project/Grant IDRIOXX Funder NameFunder ID
EP/R139050/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/R013179/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
EP/R033374/1[EPSRC] Engineering and Physical Sciences Research Councilhttp://dx.doi.org/10.13039/501100000266
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