Digital twins and logistical labour: models, plans and the inversion of the ‘real’

Zoe Horn, Michael Richardson

    Research output: Contribution to journalArticlepeer-review

    Abstract

    This article argues that digital twins constitute new computational techniques for the mobilisation and intensification of enduring logics and operations in the management of contemporary logistical labour. To demonstrate this, the article traces conceptual and material histories of the digital twin through industrial planning and associated practices of modelling, simulation, and scenario planning, before turning to the analysis of an initiative of the British Columbia Maritime Employers Association to predictively manage longshore labour dispatch. At stake in the digital twin, the article argues, is an inversion of power between the real and the simulation in planning, labour and logistics management.

    Original languageEnglish
    Pages (from-to)174-189
    Number of pages16
    JournalWork Organisation, Labour and Globalisation
    Volume19
    Issue number2
    DOIs
    Publication statusPublished - 30 Jun 2025

    Keywords

    • AI
    • digital twins
    • infrastructure
    • logistical labour
    • logistics
    • machine learning
    • models

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