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Lean versus agile production: flexibility trade-offs within the automotive supply chain

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  • Amir Qamar
  • Mark A. Hall
  • Simon Collinson

Abstract

Given the recent dynamics of the automotive industry in the UK, the ability for a firm to be flexible has often taken priority over other performance indicators. Using the notion of distinct business models and trade-offs as our theoretical lens, the purpose of this study was to: (1) Distinguish lean and agile firms based upon production methods; and (2) Compare lean and agile levels of external flexibility (EF) and supply chain flexibility (SCF). Data was obtained from 140 automotive firms in the Midlands (UK) via a survey which was sent by emails. Findings supported the theoretical notion of trade-offs, as firms implementing agile production methods were found to be more flexible in comparison with firms implementing lean production methods. More importantly, the agile firms that possessed high EF levels and SCF levels were predominantly positioned at the lower end of the automotive supply chain, whereas the lean firms were largely found to be operating at the top of the supply chain. First, we provide an innovative way in which lean and agile firms can be conceptualised. Second, as flexibility levels were assessed on actual numerical values, as opposed to using opinion based Likert Scale questions, a methodological contribution is made. Third, as flexibility is in its infancy stage of theoretical development we make an empirical contribution by developing a taxonomy that distinguishes each production concept. Finally, given the supply chain position to where lean and agile firms were found, we invoked a power perspective better understand this phenomenon.

Suggested Citation

  • Amir Qamar & Mark A. Hall & Simon Collinson, 2018. "Lean versus agile production: flexibility trade-offs within the automotive supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 56(11), pages 3974-3993, June.
  • Handle: RePEc:taf:tprsxx:v:56:y:2018:i:11:p:3974-3993
    DOI: 10.1080/00207543.2018.1463109
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    Cited by:

    1. Amon Göppert & Lea Grahn & Jonas Rachner & Dennis Grunert & Simon Hort & Robert H. Schmitt, 2023. "Pipeline for ontology-based modeling and automated deployment of digital twins for planning and control of manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 34(5), pages 2133-2152, June.
    2. Ma, Haicheng & Lou, Gaoxiang & Fan, Tijun & Chan, Hing Kai & Chung, Sai Ho, 2021. "Conventional automotive supply chains under China's dual-credit policy: fuel economy, production and coordination," Energy Policy, Elsevier, vol. 151(C).
    3. Jung-Fa Tsai & Chin-Po Wang & Ming-Hua Lin & Shih-Wei Huang, 2021. "Analysis of Key Factors for Supplier Selection in Taiwan’s Thin-Film Transistor Liquid-Crystal Displays Industry," Mathematics, MDPI, vol. 9(4), pages 1-18, February.
    4. Qamar, A. & Gardner, E.C. & Buckley, T. & Zhao, K., 2021. "Home-owned versus foreign-owned firms in the UK automotive industry: Exploring the microfoundations of ambidextrous production and supply chain positioning," International Business Review, Elsevier, vol. 30(1).

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