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From Prescription to Regulation: What Workers’ Behavior Analyses Tell Us About Work Models

  • Lisa Jeanson
  • J. M. Christian Bastien
  • Alexandre Morais
  • Javier Barcenilla
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 825)

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 this system is the follow up of a “work standard” designed by the methods engineers. In theory, work standards 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 have emerged. In order to understand these phenomena, we carried out a detailed analysis of the operators’ activity on workstations. For the data collection, we adopted a bottom-up approach by combining several methodologies: hierarchical task analysis of the prescribed and actual operators’ tasks, filmed observations, behavioral coding and interviews with the operators and methods engineers.

Data analyses revealed discrepancies between work standards and actual tasks. “Anticipated” and “individual” regulations could explain these differences. Although these regulations are essential to the production, they involve additional actions and are not taken into account in the design of workstations. Similarly, they escape the methods engineers and are symptomatic of a dichotomy between the Lean Manufacturing rules shaping workstation design and real production constraints. We attempt to identify these constraints to improve the PSA Excellent System’s predictive performance models. In this paper, we present the results of an analysis on a workstation in the assembly plant in Sochaux (France).

Keywords

Mental workload Regulations at work Behavior analysis Work model 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Lisa Jeanson
    • 1
    • 2
  • J. M. Christian Bastien
    • 1
  • Alexandre Morais
    • 2
  • Javier Barcenilla
    • 1
  1. 1.Université de Lorraine, PErSEUs, EA 7312MetzFrance
  2. 2.PSA GroupParisFrance

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