Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD

Juan Carlos Osorio Gómez | Bio
Universidad del Valle
Mayra Alejandra Peña Vega | Bio
Deysi Yulieth Arias Giraldo | Bio

Abstract

The restrictions of installed capacity and distribution resources to which medium and large manufacturing companies are normally subject, make it necessary to establish methods that serve as a tool to make decisions regarding the prioritization of each of their warehouses at the time of supplying them. the importance that the distribution center assigns to each of these, is closely related to the conditions and particularities that characterize them, being these factors of a qualitative, quantitative or a mixture between the two. This article presents a fuzzy QFD multi-criteria method which, in addition to using quantitative variables to establish the order of dispatch of the finished product, considers qualitative variables, the result of the opinions that experts can offer about the particular situations of each winery by means of linguistic variables that are finally quantified through fuzzy triangular numbers.

References

  1. [1] J.J. Bravo, J.C. Osorio y J.P. Orejuela, “Modelo para la priorización dinámica de despachos de vehículos utilizando el proceso analítico jerárquico,” Revista Facultad de Ingeniería, N.° 48, 201- 215, 2009.

  2. [2] L-K. Chan y M-L. Wu, “Quality function deployment: A literature review,” European Journal of Operational Research, vol. 143, N.° 3, 463–497, 2002.

  3. [3] J. A. Carnevalli y P. Cauchick P., “Review, analysis and classification of the literature on QFD‒Types of research, difficulties and benefits,” International Journal of Production Economics, vol. 114, N.°2, 737– 754, 2008.

  4. [4] M-T. Tsai, H-L. Wu y W-K. Liang, “Fuzzy Decision Making for Market Positioning and Developing Strategy for Improving Service Quality in Department Stores,” Quality and Quantity, vol. 42, N.°3, 303 -319, 2008.

  5. [5] L. Lazzari, E. Machado y R. Pérez, Teoría de decisión fuzzy, Buenos Aires: Ed. Macchi, 1998.

  6. [6] E. Bottani y A. Rizzi, “Strategic management of logistics service: A fuzzy QFD approach,” International Journal of Production Economics, vol. 103, N.° 2, 585–599, 2006.

  7. [7] E. Bottani, “A fuzzy QFD approach to achieve agility,” International Journal of Production Economics, vol. 119, N.° 2, 380–391, 2009.

  8. [8] M. Celik, C.Selcuk, C. Kahraman y E.Deha, “An integrated fuzzy QFD model proposal on routing of shipping investment decisions in crude oil tanker market,” Expert Systems with Applications, vol 36, N.° 3, 6227–6235, 2009.

  9. [9] Y, Sohn So y I.S. Choi, “Fuzzy QFD for supply chain management with reliability consideration,” Reliability Engineering and System Safety, vol. 22, N.° 3, 327–334, 2001.

  10. [10] L-H. Chen y W-C. Ko, “A fuzzy nonlinear model for quality function deployment considering Kano’s concept,” Mathematical and Computer Modelling, vol. 48, N.° 3, 581–593, 2008.

  11. [11] H-T. Liu, “The extension of fuzzy QFD: From product planning to part deployment,” Expert Systems with Applications, vol. 36, N.° 8, 11131–11144, 2009.

  12. [12] S. H. Amin y J. Razmi, “An integrated fuzzy model for supplier management: A case study of ISP selection and evaluation,” Expert Systems with Applications, vol. 36, N.° 4, 8639–8648, 2009.

  13. [13] D. C. Arango y C.E. Ruales, “Selección de proveedores mediante el despliegue de la función de calidad difuso,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2008.

  14. [14] D. J. Arias y M. A. Peña, “Formulación de un modelo para priorización de despacho de producto terminado en empresas manufactureras usando QFD fuzzy,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2010.

  15. [15] Giraldo P y Martínez L (2009). “Propuesta de mejoramiento para el programa de ingeniería industrial de la universidad del valle utilizando QFD-fuzzy,” Trabajo de grado de pregrado, Universidad del Valle, Cali, 2009.

  16. [16] M.F. Herrera y J.C. Osorio, “Modelo para la gestión de proveedores utilizando AHP difuso,” Estudios Gerenciales Universidad ICESI, N.° 99, pp. 69-88, 2006.

  17. [17] J.J. Bravo, J.P. Orejuela y J.C. Osorio, “Administración de recursos de distribución: Indicadores para la priorización en transporte,” Estudios Gerenciales Universidad ICESI, vol 33, N.° 102, pp. 101-118, 2007.

  18. [18] G. Facchinetti, “Ranking functions induced by weighted average of fuzzy numbers,” Fuzzy Sets and Systems, vol. 1, pp. 313-327, 2002.

How to Cite
Osorio Gómez, J. C., Peña Vega, M. A., & Arias Giraldo, D. Y. (2018). Prioritization of Deliveries in Manufacturing Companies Using Fuzzy QFD. Revista Ingenierías Universidad De Medellín, 17(33), 173-186. https://doi.org/10.22395/rium.v17n33a9

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