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Ethical Internal Logistics 4.0: Observations and Suggestions from a Working Internal Logistics Case

Authors :
Anderson, Marc
Fort, Karën
Semantic Analysis of Natural Language (SEMAGRAMME)
Inria Nancy - Grand Est
Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Department of Natural Language Processing & Knowledge Discovery (LORIA - NLPKD)
Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire Lorrain de Recherche en Informatique et ses Applications (LORIA)
Institut National de Recherche en Informatique et en Automatique (Inria)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS)
Sorbonne Université (SU)
Fort, Karën
Source :
12th International Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 12th International Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Sep 2022, Bucarest, Romania
Publication Year :
2022
Publisher :
HAL CCSD, 2022.

Abstract

International audience; In this paper we present our experiences and insights from a Use Case in heavy industry, where OCR text recognition is combined with algorithms to correctly identify labels for additives to be introduced into a production process. Ethical issues are presented relative to the effects of the Use Case upon the shop floor operators using the new technology. We then discuss recommendations given and our success in getting them implemented. An argument follows, regarding what we view as the source of many of the ethical issues: the unreflective acceptance of Industry 4.0 and Internal Logistics 4.0 as a generalized and idealized 'plan' which technological development and the human operator have to adapt to. We contrast this to an approach where the needs of the human in the work context would drive and limit internal logistics 4.0 development as a set of gradual improvements tailored to the worker's situation.

Details

Language :
English
Database :
OpenAIRE
Journal :
12th International Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, 12th International Workshop on Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future, Sep 2022, Bucarest, Romania
Accession number :
edsair.dedup.wf.001..c145b30df7b51e5c572189755f21e8cb