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

被引:2
|
作者
Braglia, Marcello [1 ]
Di Paco, Francesco [1 ]
Gabbrielli, Roberto [1 ]
Marrazzini, Leonardo [1 ]
机构
[1] Univ Pisa, Dipartimento Ingn Civile & Ind, Pisa, Italy
关键词
Greenhouse gas; Climate change; Sustainability; Lean manufacturing; Overall Equipment Effectiveness; Performance indicators; PERFORMANCE; MANAGEMENT; EFFICIENCY; ISSUES; SYSTEM;
D O I
10.1108/IJPPM-05-2023-0271
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
PurposeThis 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/approachThe 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.FindingsThe 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/valueThis 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.
引用
收藏
页码:243 / 269
页数:27
相关论文
共 50 条
  • [1] Greenhouse gas Emissions Deployment (GED): A novel Lean method for mitigating greenhouse gas emissions in industrial environment
    Braglia, Marcello
    Di Paco, Francesco
    Gabbrielli, Roberto
    Grassi, Carlo
    Marrazzini, Leonardo
    SUSTAINABLE PRODUCTION AND CONSUMPTION, 2024, 48 : 29 - 45
  • [2] Curtailing industrial greenhouse gas emissions in the USA
    de Grosbois, Anne Marie
    ENVIRONMENTAL EARTH SCIENCES, 2010, 59 (08) : 1831 - 1831
  • [3] Drivers of industrial and non-industrial greenhouse gas emissions
    Sanchez, Luis F.
    Stern, David I.
    ECOLOGICAL ECONOMICS, 2016, 124 : 17 - 24
  • [4] Options for reducing greenhouse gas emissions in the Chinese industrial sector
    London, JB
    Li, JF
    Ward, WA
    Wells, GJ
    Dai, YD
    Liu, JR
    ENERGY POLICY, 1998, 26 (06) : 477 - 485
  • [5] Scenarios of livestock - related greenhouse gas emissions in Austria
    Winkler, Thomas
    Winiwarter, Wilfried
    JOURNAL OF INTEGRATIVE ENVIRONMENTAL SCIENCES, 2015, 12 : 107 - 119
  • [7] Greenhouse gas emissions related to Dutch food consumption
    Kramer, KJ
    Moll, HC
    Nonhebel, S
    Wilting, HC
    ENERGY POLICY, 1999, 27 (04) : 203 - 216
  • [8] Lean versus green: The impact of lean logistics on greenhouse gas emissions in consumer goods supply chains
    Ugarte, Gustavo M.
    Golden, Jay S.
    Dooley, Kevin J.
    JOURNAL OF PURCHASING AND SUPPLY MANAGEMENT, 2016, 22 (02) : 98 - 109
  • [9] Groundwater: A pathway for terrestrial C and N losses and indirect greenhouse gas emissions
    Jahangir, M. M. R.
    Johnston, P.
    Khalil, M. I.
    Hennessy, D.
    Humphreys, J.
    Fenton, O.
    Richards, K. G.
    AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2012, 159 : 40 - 48
  • [10] Assessment of greenhouse gas emissions reduction potential in an industrial park in China
    Min Zhang
    Can Wang
    Shanshan Wang
    Ke Wang
    Ruiqin Zhang
    Clean Technologies and Environmental Policy, 2020, 22 : 1435 - 1448