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Quick Green Scan: A Methodology for Improving Green Performance in Terms of Manufacturing Processes

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  • Aldona Kluczek

    (Institute of Organization of Production Systems, Faculty of Production Engineering, Warsaw University of Technology, 86 Narbutta Street, 02-524 Warszawa, Poland)

Abstract

The heating sector has begun implementing technologies and practices to tackle the environmental and social–economic problems caused by their production process. The purpose of this paper is to develop a methodology, “the Quick-Green-Scan”, that caters for the need of quick assessment decision-makers to improve green manufacturing performance in companies that produce heating devices. The study uses a structured approach that integrates Life Cycle Assessment-based indicators, framework and linguistic scales (fuzzy numbers) to evaluate the extent of greening of the enterprise. The evaluation criteria and indicators are closely related to the current state of technology, which can be improved. The proposed methodology has been created to answer the question whether a company acts on the opportunity to be green and whether these actions are contributing towards greening, maintaining the status quo or moving away from a green outcome. Results show that applying the proposed improvements in processes helps move the facility towards being a green enterprise. Moreover, the methodology, being particularly quick and simple, is a practical tool for benchmarking, not only in the heating industry, but also proves useful in providing comparisons for facility performance in other manufacturing sectors.

Suggested Citation

  • Aldona Kluczek, 2017. "Quick Green Scan: A Methodology for Improving Green Performance in Terms of Manufacturing Processes," Sustainability, MDPI, vol. 9(1), pages 1-28, January.
  • Handle: RePEc:gam:jsusta:v:9:y:2017:i:1:p:88-:d:87438
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    References listed on IDEAS

    as
    1. Marc A. Rosen & Hossam A. Kishawy, 2012. "Sustainable Manufacturing and Design: Concepts, Practices and Needs," Sustainability, MDPI, vol. 4(2), pages 1-21, January.
    2. Ruqun Wu & Dan Yang & Jiquan Chen, 2014. "Social Life Cycle Assessment Revisited," Sustainability, MDPI, vol. 6(7), pages 1-27, July.
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    Cited by:

    1. Ying Lu & Sang Do Park, 2022. "Time Series Analysis of Policy Discourse on Green Consumption in China: Text Mining and Network Analysis," Sustainability, MDPI, vol. 14(22), pages 1-20, November.
    2. Carlos Vila & César Ayabaca & Carlos Díaz-Campoverde & Orlando Calle, 2019. "Sustainability Analysis of AISI 1018 Turning Operations under Surface Integrity Criteria," Sustainability, MDPI, vol. 11(17), pages 1-17, September.
    3. Jacky Chin & Bernard C. Jiang & Ilma Mufidah & Satria Fadil Persada & Bustanul Arifin Noer, 2018. "The Investigation of Consumers’ Behavior Intention in Using Green Skincare Products: A Pro-Environmental Behavior Model Approach," Sustainability, MDPI, vol. 10(11), pages 1-15, October.
    4. Lucian-Ionel Cioca & Radu-Eugen Breaz & Sever-Gabriel Racz, 2019. "Reducing the Risks during the Purchase of Five-Axis CNC Machining Centers Using AHP Method and Fuzzy Systems," Sustainability, MDPI, vol. 11(2), pages 1-23, January.

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