Demand forecast as support for the lean philosophy

Authors

  • Pedro Vieira Souza Santos Universidade Federal do Vale do São Francisco - UNIVASF

DOI:

https://doi.org/10.5585/exactaep.v18n1.8935

Keywords:

Management, Industry, Lean Manufacturing.

Abstract

Lean thinking can be translated as a set of principles, tools and techniques that, combined, aim for improvement in terms of quality, cost, customer satisfaction and others. Several tools and methods can assist organizations in the quest for a "lean" manufacturing environment, for example quality tools, information technology and mathematical-statistical methods such as demand forecasting. Thus, the present article, which behaves as a case study, aimed to analyze the application of the Holt-Winters Model for Seasonal Effects in a fruit pulp company located in Pernambuco and compare the gains obtained from the perspective of the lean philosophy. Among other gains were observed lower inventory levels, reduced waiting time and even lower costs. That is, it is proven that, when applied to the demand forecasting technique, the company's management can better plan its acquisitions, determine investments in assets, hiring labor, increase production capacity and estimate its profit.

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Author Biography

Pedro Vieira Souza Santos, Universidade Federal do Vale do São Francisco - UNIVASF

Engenheiro de Produção.

 

Graduado em Engenharia de Produção com graduação adjunta no Institut Universitaire de Technologie de Blois - IUT / Université François-Rabelais (graduação sanduiche - França). 

References

Alefari, M., Salonitis, K., & Xu, Y. (2017) The role of leadership in implementing lean manufacturing. Procedia CIRP, 63, 756 – 761.

Ballou, R. H. (2006) Gerenciamento da cadeia de suprimentos: planejamento, organização e logística empresarial. Bookman.

Bayat, H., & Dadashzadeh, M. (2017) The impact of organizational factors on implementation outcomes of lean manufacturing. Journal of Business & Economics Research (JBER), 15(2), 33–44.

Begam, M. S., Swamynathan, R. & Sekkizhar, J. (2014). A brief overview of current trend on lean management practices in manufacturing industries. Annals of the Faculty of Engineering Hunedoara, 12(2), 35.

Bose, J-H., Flunkert, V., Gasthaus, J., Januschowski, T., Lange, D., Salinas, D., Schelter, S., Seeger, M., & Wang. (2017) Probabilistic Demand Forecasting at Scale. Proceedings of the VLDB Endowment, 10(12).

Corrêa, H. L., Gianesi, I. G. N., & Caon, M. (2012) Planejamento, programação e controle da produção: MRP II/ERP conceitos, uso e implantação: base para SAP, Oracle Applications e outros softwares integrados de gestão. São Paulo: Atlas.

Drew, J., McCallum, B., & Roggenhofer, S. (2016). Journey to lean: Making operational change stick. Springer.

Forbes, L. H., & Ahmed, S. M. (2010). Modern construction: Lean project delivery and integrated practices. Boca Raton, FL: CRC Press.

Gil, A. C. (2007). Métodos e Técnicas de Pesquisa Social. 5 ed. São Paulo: Atlas.

Gobinath, S., Elangovan, D. & Dharmalingam, S. (2015). Lean Manufacturing Issues and Challenges in Manufacturing Process– A Review. International Journal of ChemTech Research,. 8(1), 44-51.

Hallak, R., & Pereira Filho, A, J. (2011). Metodologia para análise de desempenho de simulações de sistemas convectivos na região metropolitana de São Paulo com o modelo ARPS: sensibilidade a variações com os esquemas de advecção e assimilação de dados. Revista Brasileira de Meteorologia, 26(4), 591-608.

Henning, E., Alves C. C., & Konrath, A.C. (2010) Previsão de vendas de rodízios para móveis em uma empresa de médio porte. In: ICPR AMERICAS - 5th Americas International Conference on Production Research, Bogotá, Colômbia, 2010. Proceedings... Bogotá.

Hyndman, R., Koehler, A., Ord, J., & R. Snyder. (2008) Forecasting with Exponential Smoothing: The State Space Approach. Springer, 1 ed.

Kerkkânen, A., Korpela, J., & Huiskonen, J. (2009) Demand forecasting errors in industrial context: Measurement and impacts. International Journal of Production Economics, 118, 43-48.

Klassen, R., & Flores, B. (2001) Forecasting practices of Canadian Firms: Survey Results and comparisons, International Journal of Production Economics. 70(2), 163-174.

Koehler, A. B., Snyder, R. D., & Ord, J. K. (2001) Forecasting Models and Prediction Intervals for the Multiplicative Holt-Winters Method. International Journal of Forecasting, 17(2), 269-286.

Lee, C. K., Song, H. J., & Mjelde, J. W. (2008) The forecasting of international expo tourism using quantitative and qualitative techniques. Tourism Management, 29(6), p. 1084-1098.

Llewellyn, S., & Northcott, D. (2007) The “singular view” in management case studies qualitative research in organizations and management. An International Journal, 2(3), 194-207.

Lopes, R. B., Freitas, F. & Sousa, I. (2015). Application of Lean Manufacturing Tools in the Food and Beverage Industries. Journal of Technology Management & Innovation. 10(3).

Lustosa, L., Mesquita, M. A., Quelhas, O., & Oliveira, R. (2008) Planejamento e controle da Produção. Rio de Janeiro: Elsevier.

Makridakis, S., Wheelwright, S., & Hyndman, R. J. (1998) Forecasting Methods and Applications. 3. ed. New York: John Wiley & Sons.

Martins, G. A. (2008) Estudo de caso: uma reflexão sobre a aplicabilidade em pesquisas no Brasil. Revista de Contabilidade e Organizações, 2(2), 9-18.

Modi, D. B., & Thakkar, H. (2014). Lean Thinking: Reduction of Waste, Lead Time, Cost through Lean Manufacturing Tools and Technique. International Journal of Emerging Technology and Advanced Engineering, 4(3).

Moreira, D. A. (2001) Administração da produção e operações. São Paulo: Pioneira Thomson Learning;

Pająk E. (2013). Principles and methods of lean production, IBUK Libra, Konin.

Panizzolo, R., Garengo, P., Sharma, M. K., & Gore, A. (2012) Lean manufacturing in developing countries: Evidence from Indian SMEs. Production Planning & Control, 23(10), 769–788.

Patton, M. G. (2002) Qualitative Research and Evaluation Methods, 3 ed. Thousand Oaks, CA: Sage.

Sabadka, D., Molnar, V., & Fedorko, G. (2017) The Use of Lean Manufacturing Techniques – SMED Analysis to Optimization of the Production Process. Advances in Science and Technology Research Journal, 11(3), 187-195.

Santos, P. V. S., & Lima, N. V. M. (2018) Fatores de Impacto para Sobrevivência de Micro e Pequenas Empresas (MPEs). Revista Livre De Sustentabilidade E Empreendedorismo, 3, 54-77.

Shiver, J. M., & Eitel, D. (2010) Optimizing Emergency departmentthroughput: Operations management solutions for health care decisionmakers. New York: Taylor & Francis Group.

Slack, N., Jones, A. B. & Johnston, R. (2013). Princípios de administração da produção. São Paulo: Atlas.

Sokovic, M., Pavletic, D., & Fakin, S. (2005). Application of Six Sigma methodology for process design. Journal of Materials Processing Technology. 162, 777-783.

Trojanowska, J., Kolińska, K., & Koliński, A., (2011), Using the Lean Tools in Production Enterprises as an Effective Way to Win With Economic Crisis, Problemy Zarządzania, 9(1), 34- 52.

Tubino, D. F. (2009). Planejamento e controle da produção: teoria e prática (2a ed.). São Paulo: Atlas.

Wilson, L (2010) How to Implement Lean Manufacturing, 1 st Edition McGraw Hill, New York.

Władysiak, R. (2006). Reengineering of precision castings production system. Arch. Foundry Eng. 6(19), 413-424.

Womack, J., Jones, D. T., & Roos, D. (2004) A máquina que mudou o mundo. São Paulo: Campus.

Zakaria, N. H., Zuki, N. M., Mohamed, N., Ab Rahid, M. F. F. & Rose, A. N. M. (2017). Lean manufacturing implementation in reducing waste for electronic assembly line: MATEC Web of Conferences, 90.

Published

2019-12-19

How to Cite

Souza Santos, P. V. (2019). Demand forecast as support for the lean philosophy. Exacta, 18(1), 226–243. https://doi.org/10.5585/exactaep.v18n1.8935