Proposal to improve static models to solve the demands of complex adaptive systems faced by organizations in supplier selection
DOI:
https://doi.org/10.18041/1794-4953/avances.1.1281Keywords:
Supply Chain, supplier selection, Neural NetworksAbstract
The competitiveness has generated the development of supplier selection models, but organizations under complex adaptive environment needs available options. These models generally made under characteristics mathematical, static and difficult to change. For example, the large companies to improve delivery process, have used strategies as reduce costs and production times through reduce of suppliers database. These characteristics of mathematical models for supplier selection simplify important aspects in Supply Chain. The aim of this paper is to show how can the organizational systems to solve supplier selection problems through Neural Networks that adjust to the chaotic behavior of the Supply Chain.
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References
Chan, S. (2001). Complex Adaptive Systems.Research Seminar in EngineeringSystems, 1-9.
Ireland, R. D., & Hitt, M. a. (2005). Achievingand maintaining strategic competitivenessin the 21st century: The role of strategicleadership. Academy of ManagementExecutive, 19(4), 63-77. https://doi.org/10.5465/AME.2005.19417908
Nadier, D., & Tushman, M. (1989). OrganizationalFrame Bending: Principles forManaging Reorientation. Academy OfManagement Executive, 3(3), 194-204.
Osorio, J., Arango, D., & Ruales, C. (2011).Selección de proveedores usando eldespliegue la función de calidad difusa.Revista EIA, 15, 73-83. Recuperadoa partir de http://revista.eia.edu.co/articulos15/art. 6 (73-83).pdf
Choi, T. Y., Dooley, K. J., & Rungtusanatham,M. (2001). Supply networks and complexadaptive systems: control versusemergence. Journal of Operations Management,19(3), 351-366. https://doi.org/10.1016/S0272-6963(00)00068-1
Choi, T. Y., & Hartley, J. L. (1996). An explorationof supplier selection practicesacross the supply chain. Journal ofOperations Management, 14(4), 333-343. https://doi.org/10.1016/S0272-6963(96)00091-5
Ghodsypour, S. H., & Brien, C. O. (2001).The total cost of logistics in supplierselection , under conditions of multiplesourcing , multiple criteria and capacityconstraint, 73(424).
Liao, Z., & Rittscher, J. (2007). A multi-objectivesupplier selection model understochastic demand conditions.International Journal of ProductionEconomics, 105(1), 150-159. https://doi.org/10.1016/j.ijpe.2006.03.001
SAP. (2014). Evaluación de proveedores.Recuperado 20 de julio de 2010, apartir de https://help.sap.com/saphelp_46c/helpdata/es/3f/a42938955df162e10000009b38f842/frameset.htmSap. (2014). MM Evaluación de proveedores.Recuperado 1 de diciembre de 2014, apartir de hhttps://help.sap.com/saphel-p_46c/helpdata/es/3f/a42938955df162e10000009b38f842/frameset.htm
Franklin, E. (2007). Auditoria administrativa:gestión estratégica del cambio.México: Pearson Educación.
Gitman, L., & Núñez, E. (2003). Principiosde administración financiera. México:Pearson Educación.
Setó, D. (2004). De la calidad de servicioa la fidelidad del cliente. México: ESICEditorial.
Gomollón, A. (1996). Ejercicios de investigaciónde operaciones. Madrid: ESICEditorial.
Arvis, J.-F., Saslavsky, D., Lauri Ojala,Shepherd, B., Busch, C., & Raj, A. (2014).Connecting to Compete. Recuperadoa partir de http://d21a6b425f3bbaf58824-9ec594b5f9dc5376fe36450505ae1164.r12.cf2.rackcdn.com/LPI_Report_2014.pdf
Anaya, J. (2007). Logística integral: lagestión operativa de la empresa. Madrid:ESIC Editorial.
Tomé, P. R. (2014). Publicaciones La gestióneficiente de inventarios. Recuperado 3de diciembre de 2014, a partir de http://www.sytsa.com/PDF/publicaciones/Operaciones/gei.pdf
O’Reilly, C., & Tushman, M. (2004). Laorganización ambidiestra. Recuperado3 de diciembre de 2014, a partir dehttp://www.dii.uchile.cl/~eolguin/G delC/docs/Liderazgo/La organizacionambidiestra - oreilly.sp.pdf
March, J. (1991). Exploration and explotationin organizational learning. OrganizationScience, 2(1), 71-87.
Olaya, S., Cortés, C., & Duarte, O. (2005).Despliegue de la función calidad ( QFD): beneficios y limitaciones detectadosen su aplicación al diseño de prótesismioeléctrica de mano * Quality functiondeployment QFD : benefits andlimitations when. Revista Ingeniería eInvestigación, 57, 30-38.
Perez, I. (2007). Lógica Difusa. (UniversidadCatolica Andres Bello, Ed.).Caracas.
Beinhocker, E. (2014). Managing in a complexworld. The McHinsey Quarterly.
Hannah, S. T., & Lester, P. B. (2009).A multilevel approach to buildingand leading learning organizations.The Leadership Quarterly, 20(1),34-48. https://doi.org/10.1016/j.leaqua.2008.11.003
Borjón, J. (2002). Caos, orden y desorden:en el sistema monetario y financierointernacional, el caso de México. (Plazay Valdes, Ed.). México.
Ponce, P. (2010). Inteligencia Artificailcon aplicaiones a la ingeniería. México:Alfaomega.
Simić, D., Kovačević, I., Svirčević, V., &Simić, S. (2017). 50 years of fuzzy settheory and models for supplier assessmentand selection: A literature review.Journal of Applied Logic, 24, 85-96.https://doi.org/10.1016/j.jal.2016.11.016
