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Elastic manufacturing: provisioning and deprovisioning production capacity to vary product volume and mix

Accepted version
Peer-reviewed

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Abstract

PurposeAdvancements in responsive manufacturing have been supporting companies over the last few decades. However, manufacturers now operate in a context of continuous uncertainty. This research paper explores a mechanism where companies can “elastically” provision and deprovision their production capacity, to enable them in coping with repeated disruptions. Such a mechanism is facilitated by the imitability and substitutability of production resources.Design/methodology/approachAn inductive study was conducted using Gioia methodology for this theory generation research. Respondents from 20 UK manufacturing companies across multiple industrial sectors reflected on their experience during COVID-19. Resource-based view and resource dependence theory were employed to analyse the manufacturers' use of internal and external production resources.FindingsThe study identifies elastic responses at four operational levels: production-line, factory, company and supply chain. Elastic responses that imposed variable-costs were particularly well-suited for coping with unforeseen disruptions. Further, the imitability and substitutability of manufacturers helped others produce alternate goods during the crisis.Originality/valueWhile uniqueness of production capability helps manufacturers sustain competitive advantage against competitors during stable operations, imitability and substitutability are beneficial during a crisis. Successful manufacturing companies need to combine these two approaches to respond effectively to repeated disruptions in a context of ongoing uncertainties. The theoretical contribution is in characterising responsive manufacturing in terms of resource heterogeneity and resource homogeneity, with elastic resourcing as the underlying mechanism.

Description

Journal Title

International Journal of Operations and Production Management

Conference Name

Journal ISSN

0144-3577
1758-6593

Volume Title

Publisher

Emerald

Rights and licensing

Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
EPSRC (via University of Nottingham) (EP/T024429/1)
Engineering and Physical Sciences Research Council (EP/R024367/1)
UK Research and Innovation (EP/V062123/1)
ESRC (via University of Manchester) (R125208)