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Fuzzy EOQ Inventory Model With and Without Production as an Enterprise Improvement Strategy

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Scientific Methods for the Treatment of Uncertainty in Social Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 377))

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Abstract

This work presents a theoretical extension to the inventory model EOQ with and without production, representing all variables as fuzzy quantities. The model is compared against the classical EOQ model with and without production. In this comparison, crisp and fuzzy data were used, and the results and conclusions were contrasted. We present the advantages of the fuzzy theory vs. classical theory in decision-making in the enterprise.

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References

  • Gallagher, C.H.: Métodos cuantitativos para la toma de decisiones en la administración. Mc. Graw Hill, México (1982)

    Google Scholar 

  • González Santoyo, F., Flores Romero, B., Gil Lafuente, A.M., Juan, F.: Uncertain optimal inventory as a strategy for enterprise global positioning. AMSE. Chania- Grecia (2013)

    Google Scholar 

  • González Santoyo, F., Flores Romero, B., Gil Lafuente, A.M.: Modelos y teorías para la evaluación de inversiones empresariales. FeGoSa-Ingeniería Administrativa S.A. de C.V., UMSNH, IAIDRES, Morelia México (2010)

    Google Scholar 

  • González Santoyo, F., Flores Romero, B.: Teoría de Inventarios en la empresa (notas de seminario). Doctorado en Economía y Empresa. Universitat Rovira i Virgili, España (2002)

    Google Scholar 

  • González Santoyo, F., Flores Romero, B., Gil Lafuente, A.M.: Procesos para la toma de decisiones en un entorno globalizado. Editorial Universitaria Ramón Areces, España (2011)

    Google Scholar 

  • Guiffrida, A.: Fuzzy Inventory Models. In: Jaber, M.Y. (ed.) Inventory Management: Non-Classical Views. Chapter 8. CRC. Press, FL, Boca Raton, pp. 173–190

    Google Scholar 

  • Kaufmann, A, Gil Aluja, J.: Introducción de la teoría de subconjuntos borrosos a la gestión de las empresas. Velograf S.A, España (1986)

    Google Scholar 

  • Kaufmann, A, Gil Aluja, J, Terceño, G.A.: Matemáticas para la economía y la gestión de empresas. Foro Científico, Barcelona- España (1994)

    Google Scholar 

  • Moskowitz, H., Wright Gordon, P.: Investigación de Operaciones. Prentice Hall, México (1982)

    Google Scholar 

  • Narasimhan, S., Mc. Leavey, D.W., Billington, P.: Planeación de la producción y control de inventarios. Prentice Hall, México (1996)

    Google Scholar 

  • Schoeder Roger, G.: Administración de operaciones. Toma de decisiones en la función de operaciones. Mc. Graw Hill, México (1992)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Facultad de Contaduría y Ciencias Administrativas, Universidad Michoacana, Morelia, Mexico

    Federico González-Santoyo & Beatriz Flores

  2. Universidad de Barcelona, Barcelona, Spain

    Anna M. Gil-Lafuente

  3. Facultad de Ingenieria Electrica, Universidad Michoacana, Morelia, Mexico

    Juan J. Flores

Authors
  1. Federico González-Santoyo
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  2. Beatriz Flores
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  3. Anna M. Gil-Lafuente
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  4. Juan J. Flores
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Corresponding author

Correspondence to Federico González-Santoyo .

Editor information

Editors and Affiliations

  1. Royal Academy of Economic and Financial Sciences (RACEF), Barcelona, Spain

    Jaime Gil-Aluja

  2. Department of Business Management, Universitat Rovira i Virgili Faculty of Business and Economics, Reus, Spain

    Antonio Terceño-Gómez

  3. Department of Business Administration, University of Girona, Girona, Spain

    Joan Carles Ferrer-Comalat

  4. Department of Management Control and Information Systems, University of Chile, Santiago, Chile

    José M. Merigó-Lindahl

  5. Department of Business Administration, University of Girona, Girona, Spain

    Salvador Linares-Mustarós

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© 2015 Springer International Publishing Switzerland

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González-Santoyo, F., Flores, B., Gil-Lafuente, A.M., Flores, J.J. (2015). Fuzzy EOQ Inventory Model With and Without Production as an Enterprise Improvement Strategy. In: Gil-Aluja, J., Terceño-Gómez, A., Ferrer-Comalat, J., Merigó-Lindahl, J., Linares-Mustarós, S. (eds) Scientific Methods for the Treatment of Uncertainty in Social Sciences. Advances in Intelligent Systems and Computing, vol 377. Springer, Cham. https://doi.org/10.1007/978-3-319-19704-3_19

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  • DOI: https://doi.org/10.1007/978-3-319-19704-3_19

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19703-6

  • Online ISBN: 978-3-319-19704-3

  • eBook Packages: EngineeringEngineering (R0)

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