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Measuring the Sustainability of a Manufacturing Process: A Conceptual Framework

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  • Wagner Cezar Lucato

    (Industrial Engineering Post Graduation Program, Universidade Nove de Julho, São Paulo 01504-001, Brazil)

  • José Carlos da Silva Santos

    (Industrial Engineering Post Graduation Program, Universidade Nove de Julho, São Paulo 01504-001, Brazil)

  • Athos Paulo Tadeu Pacchini

    (Industrial Engineering Post Graduation Program, Universidade Nove de Julho, São Paulo 01504-001, Brazil)

Abstract

Recently, besides recurrent financial gains, industries have been required to boost their environmental and social performance to fulfil the demands of several stakeholders. Moreover, the need to measure the sustainability of manufacturing processes is recognized because the production and operations managers need to know how they are contributing to the triple bottom line of their respective companies. To do that, many initiatives have been developed although all of them face some limitations: (a) they are only appropriate for the company as a whole, which makes their application for a manufacturing process difficult; (b) they consider the measures for sustainability (economic, environmental and social) as separate variables with no integration among them, which could become a methodological difficulty in case indicators move in different directions; or (c) they are too complicated to be used as a practical tool on the factory floor. Hence, this study proposes a framework to evaluate the sustainability level of a manufacturing process, integrating the economic, environmental, and social variables into a single combined measure. A case study exemplifies how the proposed procedure can be applied in real-world situations.

Suggested Citation

  • Wagner Cezar Lucato & José Carlos da Silva Santos & Athos Paulo Tadeu Pacchini, 2017. "Measuring the Sustainability of a Manufacturing Process: A Conceptual Framework," Sustainability, MDPI, vol. 10(1), pages 1-12, December.
  • Handle: RePEc:gam:jsusta:v:10:y:2017:i:1:p:81-:d:124839
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    References listed on IDEAS

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    1. K. Madan Shankar & P. Udhaya Kumar & Devika Kannan, 2016. "Analyzing the Drivers of Advanced Sustainable Manufacturing System Using AHP Approach," Sustainability, MDPI, vol. 8(8), pages 1-10, August.
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    3. Ivete Delai & Sérgio Takahashi, 2011. "Sustainability measurement system: a reference model proposal," Social Responsibility Journal, Emerald Group Publishing Limited, vol. 7(3), pages 438-471, August.
    4. Aleksandar Subic & Bahman Shabani & Mehdi Hedayati & Enda Crossin, 2013. "Performance Analysis of the Capability Assessment Tool for Sustainable Manufacturing," Sustainability, MDPI, vol. 5(8), pages 1-19, August.
    5. repec:eme:srjpps:v:6:y:2010:i:2:p:438-471 is not listed on IDEAS
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    Citations

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    Cited by:

    1. Chris Fadel & Khaled Tarabieh, 2019. "Development of an Industrial Environmental Index to Assess the Sustainability of Industrial Solvent-Based Processes," Resources, MDPI, vol. 8(2), pages 1-13, June.
    2. Damjan Maletič & Matjaž Maletič & Basim Al-Najjar & Boštjan Gomišček, 2018. "Development of a Model Linking Physical Asset Management to Sustainability Performance: An Empirical Research," Sustainability, MDPI, vol. 10(12), pages 1-20, December.
    3. Alexandre André Feil & Dusan Schreiber & Claus Haetinger & Virgílio José Strasburg & Claudia Luisa Barkert, 2019. "Sustainability Indicators for Industrial Organizations: Systematic Review of Literature," Sustainability, MDPI, vol. 11(3), pages 1-15, February.
    4. Chiuhsiang Joe Lin & Tariku Tamiru Belis & Dino Caesaron & Bernard C. Jiang & Tsai Chi Kuo, 2020. "Development of Sustainability Indicators for Employee-Activity Based Production Process Using Fuzzy Delphi Method," Sustainability, MDPI, vol. 12(16), pages 1-31, August.
    5. Favi, Claudio & Marconi, Marco & Mandolini, Marco & Germani, Michele, 2022. "Sustainable life cycle and energy management of discrete manufacturing plants in the industry 4.0 framework," Applied Energy, Elsevier, vol. 312(C).
    6. Fátima L. Vieira & Paulo A. Vieira & Denis A. Coelho, 2019. "A Data-Driven Approach to Development of a Taxonomy Framework for Triple Bottom Line Metrics," Sustainability, MDPI, vol. 11(9), pages 1-17, May.
    7. Jean-Marc F. Blanchard & Bas Hooijmaaijers, 2021. "Connecting into the Social Sustainability Effects of Infrastructure through China’s Digital Silk Road: Issues, Indices, and Indications," Sustainability, MDPI, vol. 13(22), pages 1-24, November.

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