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A new set of Lean indicators to assess Greenhouse Gas emissions related to industrial losses

Author

Listed:
  • Marcello Braglia
  • Francesco Di Paco
  • Roberto Gabbrielli
  • Leonardo Marrazzini

Abstract

Purpose - This paper presents a new and well-structured framework that aims to assess the current environmental impact from a Greenhouse Gas (GHG) emissions perspective. This tool includes a new set of Lean Key Performance Indicators (KPIs), which translates the well-known logic of Overall Equipment Effectiveness in the field of GHG emissions, that can progressively detect industrial losses that cause GHG emissions and support decision-making for implementing improvements. Design/methodology/approach - The new metrics are presented with reference to two different perspectives: (1) to highlight the deviation of the current value of emissions from the target; (2) to adopt a diagnostic orientation not only to provide an assessment of current performance but also to search for the main causes of inefficiencies and to direct improvement implementations. Findings - The proposed framework was applied to a major company operating in the plywood production sector. It identified emission-related losses at each stage of the production process, providing an overall performance evaluation of 53.1%. The industrial application shows how the indicators work in practice, and the framework as a whole, to assess GHG emissions related to industrial losses and to proper address improvement actions. Originality/value - This paper scrutinizes a new set of Lean KPIs to assess the industrial losses causing GHG emissions and identifies some significant drawbacks. Then it proposes a new structure of losses and KPIs that not only quantify efficiency but also allow to identify viable countermeasures.

Suggested Citation

  • Marcello Braglia & Francesco Di Paco & Roberto Gabbrielli & Leonardo Marrazzini, 2024. "A new set of Lean indicators to assess Greenhouse Gas emissions related to industrial losses," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 73(11), pages 243-269, January.
  • Handle: RePEc:eme:ijppmp:ijppm-05-2023-0271
    DOI: 10.1108/IJPPM-05-2023-0271
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