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Quick Response Manufacturing (QRM) in Zara

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Open access

Abstract

The fashion industry majorly influenced by Fast fashion (FF) is characterised by high market volatility, low predictability and high impulse purchase (Wang, 2017). This is due to mass production, rapid change in fashion seasons and changes in the structural aspects of the supply chain. Various external competitive forces (Porter, 1980; Gerard and Bruijl, 2019) affect the strategic advantage of any company within the industry with regards to profit and cost. This report addresses the Quick Response Manufacturing (QRM) system in Zara fashion. Analysis of the benefits of QRM were made with the use of Strategic Information System as an enabler. Zara’s competitive advantage in relation to costs and risks were identified and recommendations on how to mitigate the identified risks (as they cannot be completely eradicated) were made. These recommendations include considerations for strategic customers, considerations for cultural differences and sustainability related changes.

Publication Information

Output type

Research Output: Chapter in Book/Report/Conference proceeding Conference contribution Peer-review

Original language

English

Pages from-to (Number of pages)

Pages 409-415 (7 pages)

Publication milestones

  • Published - 14/02/2025

Publication status

Published - 14/02/2025

Publisher

Springer, Japan, India, Australia, Germany, United States, United Arab Emirates, Austria, Switzerland, Italy, China, United Kingdom, Netherlands, Brazil, France, Singapore

Publication series

  • Publication series name: Lecture Notes in Electrical Engineering
    ISSN (Print): 1876-1100
    ISSN (Electronic): 1876-1119
    Volume: 1364 LNEE
9789819626243

External Publication IDs

  • handle.net: 10547/626807
  • Scopus: 85218964464

Host publication title

Advanced Manufacturing and Automation XIV

Host publication editors

  • Yi Wang
  • Tao Yu
  • Kesheng Wang