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Opportunities for Cleaner Production (CP) Using Process Flow Analysis: Case Study of a Furniture Manufacturer in the City of Palhoça (SC, Brazil)

Author

Listed:
  • Patrícia Soares Lins

    (Postgraduate Program in Industrial Engineering (PEI), Federal University of Bahia (UFBA), Salvador 40210-630, Brazil
    Federal Institute of Alagoas (IFAL), Maceió 57035-660, Brazil)

  • Rita Dione Araujo Cunha

    (Postgraduate Program in Industrial Engineering (PEI), Federal University of Bahia (UFBA), Salvador 40210-630, Brazil)

  • Asher Kiperstok

    (Postgraduate Program in Industrial Engineering (PEI), Federal University of Bahia (UFBA), Salvador 40210-630, Brazil)

  • Áurea Luiza Quixabeira Rosa e Silva Rapôso

    (Federal Institute of Alagoas (IFAL), Maceió 57035-660, Brazil)

  • Sandro Fábio César

    (Postgraduate Program in Industrial Engineering (PEI), Federal University of Bahia (UFBA), Salvador 40210-630, Brazil)

Abstract

The present article was aimed at identifying opportunities for cleaner production (CP) from the process flow analysis of a furniture manufacturing company located in the municipality of Palhoça (SC, Brazil). The company was used as an exploratory case study with a qualitative approach. The criteria used for the flow analysis and for identifying the opportunities of CP were associated to the systems and technologies employed, as well as to the process analysis and to the project layout factors (stock location, movement). With this, 107.24 m 2 of wasted areas were found in the production environment, of which 72.06 m 2 included the floor area with material to be discarded (waste) and 66.93 m of flow lines with returns and crossings. The study identified that the total flow lines of the company represented a total of 775.58 m, with the possibility of being reduced by 29.45%. This reduction is a result of optimizing the physical space and reducing waste with material handling. Twenty-five opportunities of a CP associated to the process flow analysis (layout) were listed. The analyses also indicated that the association of CP to process flows as a preventive measure leads to a new connection between process optimization and environmental performance.

Suggested Citation

  • Patrícia Soares Lins & Rita Dione Araujo Cunha & Asher Kiperstok & Áurea Luiza Quixabeira Rosa e Silva Rapôso & Sandro Fábio César, 2020. "Opportunities for Cleaner Production (CP) Using Process Flow Analysis: Case Study of a Furniture Manufacturer in the City of Palhoça (SC, Brazil)," Sustainability, MDPI, vol. 12(3), pages 1-24, January.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:3:p:863-:d:312482
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    References listed on IDEAS

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    1. Korhonen, Jouni & Honkasalo, Antero & Seppälä, Jyri, 2018. "Circular Economy: The Concept and its Limitations," Ecological Economics, Elsevier, vol. 143(C), pages 37-46.
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    3. Ronald Panameño & Carlos Mario Gutiérrez-Aguilar & Beatriz Elena Angel & Sandro Fábio-César & Asher Kiperstok, 2019. "Cleaner Production and LCA as Complementary Tools in Environmental Assessment: Discussing Tradeoffs Assessment in a Case of Study within the Wood Sector in Brazil," Sustainability, MDPI, vol. 11(18), pages 1-19, September.
    4. Antonio C. S. Tavares & Rosangela M. Vanalle & João A. Camarotto, 2019. "Influence of Green Initiatives on Environmental, Economic and Operational Outcomes: The Case of the Brazilian Packaging Supply Chain," Sustainability, MDPI, vol. 11(2), pages 1-14, January.
    5. Carlos Mario Gutiérrez Aguilar & Ronald Panameño & Alexei Perez Velazquez & Beatriz Elena Angel Álvarez & Asher Kiperstok & Sandro Fábio César, 2017. "Cleaner Production Applied in a Small Furniture Industry in Brazil: Addressing Focused Changes in Design to Reduce Waste," Sustainability, MDPI, vol. 9(10), pages 1-17, October.
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    1. Patrícia Soares Lins & Asher Kiperstok & Rita Dione Araujo Cunha & Áurea Luiza Quixabeira Rosa e Silva Rapôso & Eugenio Andrés Díaz Merino & Sandro Fábio César, 2021. "(Re)layout as a Strategy for Implementing Cleaner Production: Proposal for a Furniture Industry Company," Sustainability, MDPI, vol. 13(23), pages 1-30, November.

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