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Environmental Assessment Using a Lean Based Tool

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Service Orientation in Holonic and Multi-Agent Manufacturing

Part of the book series: Studies in Computational Intelligence ((SCI,volume 762))

Abstract

The increase on environmental awareness has triggered numerous green initiatives at companies. This paper presents the Overall Greenness Performance (OGP), a metric based on the well-known Overall Equipment Effectiveness (OEE). The OGP is a hierarchy of metrics based in the Lean Manufacturing framework that measure how environmentally efficient a manufacturing operation is executed. The purpose of the metric is to quantify improvements in productive and environmental efficiencies, relative to a company’s initial situation, after implementing a lean-green manufacturing system.

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References

  1. Santos, J., Wysk, R., Torres, J.: Improving Production with Lean Thinking. Wiley, Hoboken (2014)

    Google Scholar 

  2. Alayón, C., Säfsten, K., Johansson, G.: Conceptual sustainable production principles in practice: do they reflect what companies do? J. Clean. Prod. 141, 693–701 (2017)

    Article  Google Scholar 

  3. Madan Shankar, K., Kannan, D., Udhaya Kumar, P.: Analyzing sustainable manufacturing practices—a case study in Indian context. J. Clean. Prod. (2017) (Article in Press). https://doi.org/10.1016/j.jclepro.2017.05.097

  4. Esmaeilian, B., Behdad, S., Wang, B.: The evolution and future of manufacturing: a review. J. Manuf. Syst. 39, 79–100 (2016)

    Article  Google Scholar 

  5. Carvalho, H., Govindan, K., Azevedo, S.G., Cruz-Machado, V.: Modelling green and lean supply chains: an eco-efficiency perspective. Resour. Conserv. Recycl. 120, 75–87 (2017)

    Article  Google Scholar 

  6. Simpson, D.F., Power, D.: Use the supply relationship to develop lean and green suppliers. Supply Chain Manag. 10(1), 60–68 (2005)

    Article  Google Scholar 

  7. Montabon, F., Sroufe, R., Narasimhan, R.: An examination of corporate reporting, environmental management practices and firm performance. J. Oper. Manag. 25(5), 998–1014 (2007)

    Article  Google Scholar 

  8. Muñoz-Villamizar, A., Santos, J., Viles, E., Ormazabal, M.: Manufacturing and environmental practices in the Spanish context. J. Clean. Prod. (2017) (In Review)

    Google Scholar 

  9. Brundtland, G.: Our Common Future: Report of the 1987 World Commission on Environment and Development. Oxford University Press, UK (1987)

    Google Scholar 

  10. Ahlroth, S., Finnveden, G.: Ecovalue08-A new valuation set for environmental systems analysis tools. J. Clean. Prod. 19(17–18), 1994–2003 (2011)

    Article  Google Scholar 

  11. Finnveden, G., Eldh, P., Johansson, J.: Weighting in LCA based on ecotaxes: development of a mid-point method and experiences from case studies. Int. J. Life Cycle Assess. 11(1), 81–88 (2006)

    Google Scholar 

  12. Bajdur, W.M., Henclik, A., Skowron-Grabowska, B., Iwaszczuk, N.: LCA application in the assessment of new technologies of industrial effluents treatment. Desalin. Water Treat. 57(3) (2016)

    Google Scholar 

  13. Weidema, B.P., Bauer, C., Hischier, R., Mutel, C., Nemecek, T., Reinhard, J., Vadenbo, C.O., Wernet, G.: Overview and Methodology. In: Data Quality Guideline for the Ecoinvent Database Version vol. 3. The Ecoinvent Centre, St. Gallen, Switzerland (2013)

    Google Scholar 

  14. Domingo, R., Aguado, S.: Overall environmental equipment effectiveness as a metric of a lean and green manufacturing system. Sustainability 7(7), 9031–9047 (2015)

    Article  Google Scholar 

  15. Hertin, J., Jacob, K., Pesch, U., Pacchi, C.: The production and use of knowledge in regulatory impact assessment—an empirical analysis. For. Policy Econ. 11(5–6), 413–421 (2009)

    Article  Google Scholar 

  16. Vachon, S., Klassen, R.D.: Environmental management and manufacturing performance: the role of collaboration in the supply chain. Int. J. Prod. Econ. 111(2), 299–315 (2008)

    Article  Google Scholar 

  17. Cherrafi, A., Elfezazi, S., Garza-Reyes, J.A., Benhida, K., Mokhlis, A.: Barriers in green lean implementation: a combined systematic literature review and interpretive structural modelling approach. Prod. Planning Control 1–14 (2017) (Article in Press). https://doi.org/10.1080/09537287.2017.1324184

  18. Forrester, P.L., Shimizu, U.K., Soriano-Meier, H., Garza-Reyes, J.A., Basso, L.F.C.: Lean production, market share and value creation in the agricultural machinery sector in Brazil. J. Manuf. Technol. Manage. 21(7), 853–871 (2010)

    Article  Google Scholar 

  19. Piercy, N., Rich, N.: The relationship between lean operations and sustainable operations. Int. J. Oper. Prod. Manage. 35(2), 282–315 (2015)

    Article  Google Scholar 

  20. Wang, B.: Analysis of efficiency of lean production implemented in multi-national optic enterprises. Int. J. Technol. Manage. 43(4), 304–319 (2008)

    Article  Google Scholar 

  21. Folinas, D., Aidonis, D., Malindretos, G., Voulgarakis, N., Triantafillou, D.: Greening the agrifood supply chain with lean thinking practices. Int. J. Agric. Resour. Gov. Ecol. 10(2), 129–145 (2014)

    Google Scholar 

  22. Andersson, C., Bellgran, M.: On the complexity of using performance measures: Enhancing sustained production improvement capability by combining OEE and productivity. J. Manuf. Syst. 35, 144–154 (2015)

    Article  Google Scholar 

  23. Nakajima, S.: An Introduction to TPM. Productivity Press, Portland, OR (1988)

    Google Scholar 

  24. Jonsson, P., Lesshammar, M.: Evaluation and improvement of manufacturing performance measurement systems—the role of OEE. Int. J. Oper. Prod. Manage. 19(1), 55–78 (1999)

    Article  Google Scholar 

  25. Dora, M., Gellynck, X.: House of lean for food processing SMEs. Trends Food Sci. Technol. 44(2), 272–281 (2015)

    Article  Google Scholar 

  26. Abdul-Rashid, S., Sakundarini, N., Raja Ghazilla, R., Thurasamy, R.: The impact of sustainable manufacturing practices on sustainability performance. Int. J. Oper. Prod. Manage. 37(2), 182–204 (2017)

    Article  Google Scholar 

  27. Baird, R.C.: On sustainability, estuaries, and ecosystem restoration: the art of the practical. Restor. Ecol. 13(1), 154–158 (2005)

    Article  Google Scholar 

  28. Santos, J., Muñoz-Villamizar, A., Viles, E., Ormazabal, M.: Using a serious game for the practical learning of productive and environmental efficiencies, XXI Congreso de Ingeniería de Organización (CIO 17) (2017)

    Google Scholar 

  29. Sahu, S.K., Narayanan, K.: O2 emission and firm heterogeneity: a study of metals and metal-based industries. In India. Int. J. Energy Technol. Policy 9(2), 110–127 (2013)

    Article  Google Scholar 

  30. LIFE MCUBO: About LIFE MCUBO. http://lifemcubo.eu/en/about-life-mcubo/ (2016). Accessed 2 July 2017

  31. Montoya-Torres, J.R., Muñoz-Villamizar, A., Vega-Mejía, C.A.: On the impact of collaborative strategies for goods delivery in city logistic. Prod. Plann. Control 27(6), 443–455 (2016)

    Article  Google Scholar 

  32. Garza-Reyes, J.A.: Lean and green-a systematic review of the state of the art literature. J. Clean. Prod. 102, 18–29 (2015)

    Article  Google Scholar 

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Acknowledgements

The work presented in this paper was carried out within the framework of the LIFE MCUBO research project funded by the European Union (LIFE15 ENV/ES/000379), through the LIFE program. In addition, the authors would like to acknowledge the support received from AdP, the Special Patrimonial Fund at Universidad de La Sabana and the doctoral grant from TECNUN Escuela de Ingenieros, Universidad de Navarra.

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Authors and Affiliations

  1. TECNUN Escuela de Ingenieros, Universidad de Navarra, Manuel de Lardizábal 15, San Sebastián, Spain

    Andrés Muñoz-Villamizar, Javier Santos & Marta Ormazábal

  2. Facultad de Ingeniería, Universidad de La Sabana, km 7 Autopista norte de Bogotá, D.C., Chia (Cundinamarca), Colombia

    Jairo R. Montoya-Torres

  3. Escuela de Ciencias Economicas y Administrativas, Universidad de La Sabana, km 7 Autopista norte de Bogotá, D.C., Chia (Cundinamarca), Colombia

    Andrés Muñoz-Villamizar

Authors
  1. Andrés Muñoz-Villamizar
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  2. Javier Santos
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  3. Jairo R. Montoya-Torres
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  4. Marta Ormazábal
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Corresponding author

Correspondence to Jairo R. Montoya-Torres .

Editor information

Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, University of Valenciennes and Hainaut-Cambresis, Valenciennes, France

    Damien Trentesaux

  3. École Nationale Supérieure des Technologies et Industries du Bois, University of Lorraine, Épinal, France

    André Thomas

  4. Institut de Recherche en Communications et Cybernétique de Nantes, University of Nantes, Nantes, France

    Olivier Cardin

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Muñoz-Villamizar, A., Santos, J., Montoya-Torres, J.R., Ormazábal, M. (2018). Environmental Assessment Using a Lean Based Tool. In: Borangiu, T., Trentesaux, D., Thomas, A., Cardin, O. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, vol 762. Springer, Cham. https://doi.org/10.1007/978-3-319-73751-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-73751-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73750-8

  • Online ISBN: 978-3-319-73751-5

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