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Vers un modèle prédictif de la charge mentale et des performances sur postes répétitifs de fabrication dans l'industrie automobile

Abstract : In 2004, PSA developed PSA Excellent System, an organizational system based on the Lean Manufacturing principles to optimize vehicle production. One of the pillars of it is the follow up of a "work standard" (SoW) designed by the methods engineers. In theory, SoW allow for the balancing of shifts, i.e. the organization of tasks that operators can perform within a given period. The objective here is to maintain the operators' performance and health. Despite this approach, errors and complaints on the assembly lines still emerge. To understand these phenomena, we constructed a new approach based on the comparison between prescribed and real tasks. In fact, we found that discrepancies between SoW and workers' behaviour correspond to anticipated/collective and individual regulations. These regulations are strategies used by workers to cope with production constraints, such as mental workload, that are not taken into account during the design of workstations. Thus, regulations are a symptom of a dichotomy between the rules shaping workstations design and real production constraints. Especially, while certain constraints such as time pressure, require automatic behaviours (that are efficient and mostly unconscious), other constraints such as spatio-temporal restrictions, work variations, task complexity, high level of risk and information load, bring the need to use reflexive behaviours (that are slow and require a high level of attention). Our final results showed that, when we reduce level of constraints and allow workers to perform their task automatically, we therefore minimize the risk of errors, and the need to use regulations.
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https://hal.univ-lorraine.fr/tel-03132557
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Submitted on : Friday, February 5, 2021 - 11:12:54 AM
Last modification on : Saturday, February 6, 2021 - 3:24:43 AM

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  • HAL Id : tel-03132557, version 1

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Lisa Jeanson. Vers un modèle prédictif de la charge mentale et des performances sur postes répétitifs de fabrication dans l'industrie automobile. Psychologie. Université de Lorraine, 2020. Français. ⟨NNT : 2020LORR0190⟩. ⟨tel-03132557⟩

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