COVID-19 supply chain resilience modelling for the dairy industry

Inderasan Munien, Arnesh Telukdarie

Research output: Contribution to journalConference articlepeer-review

12 Citations (Scopus)

Abstract

Precipitated by the COVID-19 pandemic, the extant global supply chain is transitioning from an efficiency fixated system to a system orientated on resilience. Key factors advancing this transformation include localisation and digitalisation. A system dynamics model is formulated to facilitate the investigation of the aforementioned factors impact on the cost structure of the dairy sector. A 3 level, 2 factor experiment reveals the confounding effect of the two factors to be a decrease in the mean cost across the system mediated primarily by the cascading benefits of digitalisation on innovation, continuous improvement and the concomitant efficiency enhancement. Analysis of the simulation results establishes that employment is augmented by digitalisation and localisation but constrained by skills scarcity. An extended model incorporating a more comprehensive description of the dairy sub-sector would be indispensable to informing policy and strategic and tactical decision making for resilience based designs.

Original languageEnglish
Pages (from-to)591-599
Number of pages9
JournalProcedia Computer Science
Volume180
DOIs
Publication statusPublished - 2021
Event2nd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2020 - Virtual, Online, Austria
Duration: 23 Nov 202025 Nov 2020

Keywords

  • cost
  • digitalisation
  • localisation
  • resilience

ASJC Scopus subject areas

  • General Computer Science

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