Value stream mapping extended to energy performance assessment in industrial sector: a brazilian case study

Authors

  • Fabrício Nicoletti Hedlund Universidade Federal de Santa Catarina
  • Fernando Antônio Forcellini Universidade Federal de Santa Catarina

DOI:

https://doi.org/10.14488/1676-1901.v18i2.2954

Keywords:

Energy performance. Industrial sector. Value stream mapping.

Abstract

The industrial sector consumes the largest share of energy demanded in Brazil and the world, particularly electricity, and improvements in its energy performance provide environmental and economic benefits to all stakeholders in the supply chain. An attempt of energy performance assessment is extending the Lean Manufacturing Value Stream Map tool, adding other inputs for measurement. However, there is no convergence to a common model, it lacks operational information about modeling energy consumption, and an analysis of the wastes on the overall impact of the organization. Therefore, it is proposed an extension of the Value Stream Mapping to evaluate energy performance inputs for an industrial organization. Due to the impact of electric sector in either environmental or economic issues its rules are used as a reference. The study presents a case study where wastes were identified with the proposed method with positive outcomes.

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References

ASSOCIAÇÃO BRASILEIRA DE NORMAS TÉCNICAS (ABNT). NBR ISO 50001: Sistemas de gestão da energia. Rio de Janeiro, 2011.

ALVANDI, S. et al. Economic and environmental value stream map (E2VSM) simulation for multi-product manufacturing systems. International journal of sustainable engineering, v. 9, n. 6, p. 354-362, 2016.

BOGDANSKI, Gerrit et al. An extended energy value stream approach applied on the electronics industry. In: IFIP International Conference on Advances in Production Management Systems. Springer Berlin Heidelberg, 2012. p. 65-72.

BRAGLIA, Marcello; CARMIGNANI, Gionata; ZAMMORI, Francesco. A new value stream mapping approach for complex production systems. International journal of production research, v. 44, n. 18-19, p. 3929-3952, 2006. DOI:https://doi.org/10.1080/00207540600690545

BRASIL. Ministério de Minas e Energia. Agência Nacional de Energia Elétrica (ANEEL). Resolução normativa nº 414. Brasília. 2010.

______. Ministério de Minas e Energia. Empresa de Pesquisa Energética (EPE). Anuário estatístico de energia elétrica 2016. Brasília, 2016.

CARVALHO, Dinis et al. Waste identification diagrams with OEE data. In: INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND OPERATIONS MANAGEMENt (ICIEOM 2014), 20, 2014. Anais… ICIEOM, 2014. p. 313-320.

CORREIA, Paula Juliana; CULCHESK, Aline Silva; REGO, Erik Eduardo. Is the energy tariff expensive for captive customers in Brazil?. IEEE Latin America Transactions, v. 14, n. 11, p. 4506-4511, 2016. DOI:https://doi.org/10.1109/TLA.2016.7795821

DAL FORNO, Ana Julia et al. Value Stream Mapping: a study about the problems and challenges found in the literature from the past 15 years about application of Lean tools. The International Journal of Advanced Manufacturing Technology, v. 72, n. 5-8, p. 779-790, 2014. DOI:https://doi.org/10.1007/s00170-014-5712-z

DE ARAUJO, JOÄO LIZARDO R. HERMES et al. Reform of the reforms in Brazil: problems and solutions. In: Competitive Electricity Markets. 2008. p. 543-572.

GELLINGS, Clark W. The concept of demand-side management for electric utilities. Proceedings of the IEEE, v. 73, n. 10, p. 1468-1470, 1985. DOI:https://doi.org/10.1109/PROC.1985.13318

EFFICIENCY VALUATION ORGANISATION (EVO). International performance measurement and verification protocol. Core Concepts. 2014.

FAULKNER, William; BADURDEEN, Fazleena. Sustainable Value Stream Mapping (Sus-VSM): methodology to visualize and assess manufacturing sustainability performance. Journal of cleaner production, v. 85, p. 8-18, 2014. DOI:https://doi.org/10.1016/j.jclepro.2014.05.042

FISCHER, J.; WEINERT, N.; HERRMANN, C. Method for selecting improvement measures for discrete production environments using an extended energy value stream model. Procedia CIRP, v. 26, p. 133-138, 2015. DOI:https://doi.org/10.1016/j.procir.2014.07.100

HEDLUND, Fabrício Nicoletti; FORCELLINI, Fernando Antônio. Extensão do mapa de fluxo de valor para avaliação do desempenho energético em consumidores industriais cativos. In: SIMPÓSIO DE ENGENHARIA DE PRODUÇÃO - SIMEP. Anais… Joinville (SC) UDESC/UNIVILLE, 2017.

HINES, Peter et al. Value stream management. The International Journal of Logistics Management, v. 9, n. 1, p. 25-42, 1998. DOI: https://doi.org/10.1108/09574099810805726

HINES, Peter; HOLWEG, Matthias; RICH, Nick. Learning to evolve: a review of contemporary lean thinking. International journal of operations & production management, v. 24, n. 10, p. 994-1011, 2004. DOI:https://doi.org/10.1108/01443570410558049

HINES, Peter; RICH, Nick. The seven value stream mapping tools. International journal of operations & production management, v. 17, n. 1, p. 46-64, 1997. DOI:https://doi.org/10.1108/01443579710157989

KARP, Heidi R. Green suppliers network: Strengthening and Greening the manufacturing supply base. Environmental Quality Management, v. 15, n. 2, p. 37-46, 2005. DOI:https://doi.org/10.1002/tqem.20079

LASA, Ibon Serrano; LABURU, Carlos Ochoa; VILA, Rodolfo de Castro. An evaluation of the value stream mapping tool. Business process management journal, v. 14, n. 1, p. 39-52, 2008. DOI:https://doi.org/10.1108/14637150810849391

LU, Jiunn-Chenn; YANG, Taho; WANG, Cheng-Yi. A lean pull system design analysed by value stream mapping and multiple criteria decision-making method under demand uncertainty. International Journal of Computer Integrated Manufacturing, v. 24, n. 3, p. 211-228, 2011. DOI:https://doi.org/10.1080/0951192X.2010.551283

MONDEN, Yasuhiro. Toyota production system: an integrated approach to just-in-time. CRC Press, 2011.

MÜLLER, Egon; STOCK, Timo; SCHILLIG, Rainer. Dual energy signatures enable energy value-stream mapping. In: Advances in Sustainable and Competitive Manufacturing Systems. Springer International Publishing, 2013. p. 1603-1611. DOI:https://doi.org/10.1007/978-3-319-00557-7_129

POSSELT, G. et al. Extending energy value stream models by the TBS dimension–Applied on a multi product process chain in the railway industry. Procedia CIRP, v. 15, p. 80-85, 2014. DOI:https://doi.org/10.1016/j.procir.2014.06.067

ROTHER, Mike; SHOOK, John. Learning to See. Lean Enterprise Institute. Inc., Brookline, MA, 1999.

SIMONS, David Wyn; MASON, Robert John. Environmental and transport supply chain evaluation with sustainable value stream mapping. In: Proceedings of the 7th logistics research network conference. 2002.

SINGH, Bhim; GARG, Suresh K.; SHARMA, Surrender K. Value stream mapping: literature review and implications for Indian industry. The International Journal of Advanced Manufacturing Technology, v. 53, n. 5-8, p. 799-809, 2011. DOI:https://doi.org/10.1007/s00170-010-2860-7

STERN, Frank. Peak demand and time-differentiated energy savings cross-cutting protocols. National Renewable Energy Laboratory (NREL), 2013.

STRBAC, Goran. Demand side management: Benefits and challenges. Energy policy, v. 36, n. 12, p. 4419-4426, 2008. DOI:https://doi.org/10.1016/j.enpol.2008.09.030

US EPA. United States Environmental Protection Agency (US EPA). Lean Manufacturing and the Environment: Research on Advanced Manufacturing Systems and the Environment and Recommendations for Leveraging Better Environmental Performance. USA. 2003.

______. United States Environmental Protection Agency (US EPA). The Lean and Energy Toolkit-Achieving Process Excellence Using Less Energy. USA. 2007.

VERMA, Neha; SHARMA, Vinay. Energy Value Stream Mapping a Tool to Develop Green Manufacturing. Procedia Engineering, v. 149, p. 526-534, 2016. DOI:https://doi.org/10.1016/j.proeng.2016.06.701

WOMACK, James P.; JONES, Daniel T. Lean thinking: Banish waste and create wealth in your organisation. Simon and Shuster, New York, NY, v. 397, 1996.

Published

2018-06-15

How to Cite

Hedlund, F. N., & Forcellini, F. A. (2018). Value stream mapping extended to energy performance assessment in industrial sector: a brazilian case study. Revista Produção Online, 18(2), 691–712. https://doi.org/10.14488/1676-1901.v18i2.2954

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Papers