Towards a digital revolution in the UK apparel manufacturing: an Industry 4.0 perspective

Ismail Taifa, Steve Hayes, Iain Stalker

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The study explores the potential for developing a virtual distributed manufacturing network for UK apparel manufacturing using a simulation approach for small and medium-sized enterprises (SMEs). The digitalisation is based upon enabling an equitable order allocation system (sharing/dividing) amongst the SMEs to ensure the apparel manufacturers’ survival. The ultimate solution provides potential models which can provide proper production planning and scheduling service in developing strong networks. For the scheduling service, the factories are required to upload capacity available to the private cloud server; retailers load orders to cloud services while the virtual factory scheduler service (VFSS) allocates and optimise work across factories. The current study provides an overview using mixed methods. Arena® software together with the synthetic data were utilised to simulate a model for a single retailer to multiple manufacturers. Thus, through the simulation approach as a component of Industry 4.0, it is possible to perform order allocation equitably.
Original languageEnglish
Title of host publicationIndustry 4.0 – Shaping the Future of the Digital World
EditorsPaulo Bártolo
PublisherTaylor & Francis
Edition1st
ISBN (Electronic)978-0-367-82308-5
ISBN (Print)978-0-367-42272-1
Publication statusAccepted/In press - 11 Apr 2019
Event2nd International Conference on Sustainable Smart Manufacturing (S2M 2019): Industry 4.0 Academia Summit 2019 - Manchester Central Convention Complex, Manchester, United Kingdom
Duration: 9 Apr 201911 Apr 2019
Conference number: S2M 2019

Conference

Conference2nd International Conference on Sustainable Smart Manufacturing (S2M 2019)
Country/TerritoryUnited Kingdom
CityManchester
Period9/04/1911/04/19

Keywords

  • Digital collaboration
  • Industry 4.0
  • Apparel manufacturing
  • Order allocation
  • Computer Simulation

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