Breaking the mould: achieving high volume production output with additive manufacturing

Huang, Yuan ORCID: https://orcid.org/0000-0002-9994-4233, Eyers, Daniel ORCID: https://orcid.org/0000-0001-5499-0116, Stevenson, Mark and Thürer, Matthias 2021. Breaking the mould: achieving high volume production output with additive manufacturing. International Journal of Operations and Production Management 41 (12) , pp. 1844-1851. 10.1108/IJOPM-05-2021-0350

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Abstract

Purpose The study aims to examine a discrepant industrial case that demonstrates how to achieve economies of scale with additive manufacturing (AM), thereby expanding the scope of AM beyond high-variety, customised production contexts. Design/methodology/approach Abductive reasoning is applied to analyse a case of using AM to compete with conventional production, winning a contract to supply 7,700,000 products. Comparing this case to existing theories and contemporary practices reveals new research directions and practical insights. Findings Economies of scale were realised through a combination of technological innovation and the adoption of operations management practices atypical of AM shops (e.g. design for volume, low-cost resource deployment and material flow optimisation). The former improved AM process parameters in terms of time, cost and dependability; the latter improved the entire manufacturing system, including non-AM operations/resources. This system-wide improvement has been largely overlooked in the literature, where AM is typically viewed as a disruptive technology that simplifies manufacturing processes and shortens supply chains. Originality/value It is empirically shown that an AM shop can achieve economies of scale and compete with conventional manufacturing in high-volume, standardised production contexts.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics)
Publisher:	Emerald
ISSN:	0144-3577
Date of First Compliant Deposit:	4 October 2021
Date of Acceptance:	1 October 2021
Last Modified:	07 Nov 2023 02:39
URI:	https://orca.cardiff.ac.uk/id/eprint/144644

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